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AI for recruiting: Procure the Right People Trusting AI Vetting for Software Engineers
AI Services

Procure the Right People: Trusting AI Vetting for Software Engineers

Procure the right people with Turing’s AI-powered vetting process that uses a structured approach to source, vet, and manage world-class developers.

Great employees are the foundation of successful companies. But great talent takes time to come by. And this is where AI for recruiting comes in. McKinsey’s Steven Hankin coined the term “war for talent” in 1997, and it continues to be true today. The competition has only gotten fiercer over the years, and while the recessionary conditions over the last year may suggest a surplus of talent in the market, getting the right talent is still difficult. A survey by Manpower Group* reveals that in 2023 nearly 4 out of 5 employers faced difficulty in finding the right talent. So how can AI for recruiting be beneficial? Let’s find out.

Reasons why hiring the right talent is hard

Today, hiring the right talent has become more difficult than ever. Here are a few reasons why: 

  1. Unhelpful resumes: Resumes often lack comprehensive or accurate information about a candidate’s technical and soft skills. Given these inconsistencies, hiring managers and talent specialists end up wasting precious hours going over hundreds (sometimes even thousands) of resumes. 
  2. Incorrect job descriptions: A job description is an important tool in finding and onboarding the right talent. Poorly translated job descriptions can create disconnects and inefficiencies in the hiring process, as the actual job requirements may differ from what hiring managers have in mind.
  3. Inefficient assessment process: Relying solely on unstructured interviews can result in random outcomes and wasted time for hiring managers.
  4. High competition: Intense competition for skilled professionals can make it challenging to attract and retain top talent.
  5. Cultural mismatch: Finding candidates who not only possess the required skills but also align with the company’s culture and values can be a significant challenge.
  6. Skill shortages: Shortages of qualified candidates in certain industries or roles further complicate the hiring process.
  7. Global sourcing challenges: For companies looking to hire talent from around the world, navigating different labor laws, immigration processes, and cultural nuances can add complexity to the hiring process.
  8. Inconsistent candidate experience: Negative experiences during the recruitment process can deter top talent from considering a company. Ensuring a positive candidate experience is essential to attracting and retaining the right candidates.
  9. High cost of hiring: The recruitment process can be expensive, from advertising job openings to conducting interviews and assessments. Managing these costs of hiring while finding the right talent is a delicate balance.
  10. Uncertain market conditions: Economic conditions, industry trends, and geopolitical factors can influence the availability of talent. Adapting to these external factors is an ongoing challenge for HR and talent acquisition teams.

What is AI for recruiting?

AI for recruiting refers to the use of artificial intelligence (AI) and machine learning (ML) technologies to enhance and streamline various aspects of the hiring and talent acquisition process. This includes automating tasks like resume screening, sourcing candidates, assessing qualifications, and even predicting candidate-job fit. AI in recruiting aims to make the process more efficient, data-driven, and fair by reducing human biases and optimizing candidate-job matches.

One of the primary benefits of AI in recruiting is its capacity to automate time-consuming administrative tasks. For instance, AI-powered systems can sift through vast numbers of resumes, screening candidates based on predefined criteria, and identifying the most promising individuals. This not only saves valuable time but also ensures a more objective assessment, reducing the risk of bias in the early stages of recruitment.

Additionally, AI can significantly improve the accuracy of candidate-job matching. By analyzing vast datasets, AI can identify patterns and correlations that may not be apparent to human recruiters. This results in a better fit between candidates and positions, ultimately leading to more successful hires and reduced turnover rates.

Let’s take a look at the major benefits of leveraging AI for recruiting. 

Benefits of AI for recruiting: How can AI improve the recruiting process?

AI for recruiting: What are the benefits of using AI for recruiting

What are the benefits of using AI for recruiting

Using AI for recruiting offers several benefits that can significantly improve the efficiency and effectiveness of the recruitment process. Here are some key advantages:

  1. Efficiency and time savings

    AI can automate various aspects of the hiring process, such as resume screening, candidate sourcing, and initial assessments. This reduces the time and effort spent by HR teams and hiring managers on administrative tasks, allowing them to focus on strategic aspects of recruitment.

  2. Improved candidate matching

    AI algorithms analyze a candidate’s qualifications, skills, and experience to match them with the most suitable job openings. This leads to more accurate candidate-job fit, reducing the likelihood of mismatches and improving overall hiring quality.

  3. Bias reduction

    AI can help minimize unconscious bias in the hiring process. By relying on objective data and criteria, AI-driven systems are less prone to biases related to gender, race, or other factors that can affect human decision-making.

  4. Cost reduction

    Automating parts of the hiring process can result in cost savings. Companies can reduce expenses associated with job postings, manual resume screening, and lengthy interview processes.

  5. Data-driven decision-making

    AI tools generate data and analytics that provide insights into the effectiveness of recruitment strategies. This data can help organizations make informed decisions about their hiring processes and optimize them over time.

  6. Enhanced candidate experience

    AI-driven chatbots and automated communication can provide candidates with timely updates, answer their questions, and offer a smoother application and interview experience, enhancing the overall candidate experience.

  7. Predictive analytics

    AI can predict a candidate’s likelihood of success in a role based on their skills, qualifications, and historical data. This helps organizations identify candidates who are more likely to perform well in the long term.

  8. Scalability

    AI can handle large volumes of candidate data and job openings simultaneously, making it easier for companies to scale their recruitment efforts when needed, such as during periods of rapid growth.

  9. Continuous learning

    AI systems can continuously learn and adapt to changing job requirements and candidate preferences. This adaptability ensures that the recruitment process remains up-to-date and effective.

  10. Global talent pool access

    AI-powered platforms can source candidates from a global talent pool, providing access to a diverse range of candidates with different skills and backgrounds.

  11. Reduction in human error

    Automation reduces the risk of human error in tasks like resume screening and data entry, leading to more accurate and consistent evaluations of candidates.

  12. Faster time-to-fill

    AI can identify qualified candidates more quickly, reducing the time it takes to fill job openings. This is particularly valuable for roles that require immediate staffing.

What are the challenges companies can face when adopting AI for recruiting?

AI for recruiting: What are the challenges companies can face when adopting AI for recruiting

What are the challenges companies can face when adopting AI for recruiting

While AI comes with a plethora of benefits if used for hiring, there are some challenges that companies might come across while using AI for recruiting. Here are the major challenges:

  1. Avoiding bias and being fair

    One big challenge is making sure that AI doesn’t make unfair decisions. Sometimes, AI can pick up biases from old data, which can lead to unfair hiring choices. It’s crucial to use AI in a way that’s fair to everyone.

  2. Getting good data

    AI needs good information to make smart decisions. Sometimes, companies struggle to find and use the right data. If the data is messy or not diverse enough, it can make AI hiring less effective.

  3. Being clear and honest

    AI can seem like a bit of a mystery. It’s not always easy to explain why AI picked one person over another for a job. Being clear and honest about how AI works is important to build trust.

  4. Following the rules

    Laws about hiring are pretty complicated. Companies need to make sure that AI hiring practices follow all the laws. These laws can be different depending on where you are, so it can be a challenge to keep up.

  5. Keeping candidates happy

    While AI can help speed up the hiring process, it shouldn’t make things worse for job applicants. Making sure that candidates have a good experience during the hiring process, even with AI involved, is important for hiring top talent.

How AI will change the recruiter role?

AI is poised to revolutionize the recruiter role in two key ways. Firstly, it will automate repetitive tasks like job description writing and interview scheduling, allowing recruiters to focus on relationship-building and candidate engagement. While AI can assist in outreach, recruiters’ human touch remains vital for building connections.

Secondly, AI will drive a shift towards skills-first hiring, reducing human bias. Recruiters will rely on AI to assess candidates based on skills and experience, fostering diversity and equity. As AI tools become integral, recruiters will need to emphasize soft skills like negotiation and storytelling. These skills will be essential in providing a personalized and efficient hiring process, ensuring candidates are a cultural fit and possess potential.

AI will transform recruiters into strategic partners who leverage automation for efficiency and equity while emphasizing essential human skills to engage candidates effectively, creating a more streamlined and inclusive recruitment process.

What are some myths about AI in recruiting?

AI for recruiting: What are some myths about AI in recruiting

What are some myths about AI in recruiting

There are several myths surrounding the use of AI in recruiting that can sometimes mislead businesses. Let’s debunk these misconceptions:

  1. AI replaces humans: Contrary to the belief that AI replaces human recruiters entirely, it primarily enhances efficiency in certain parts of the recruiting process, like resume screening and skill assessment, while human expertise remains invaluable in relationship-building and understanding nuanced candidate needs.
  2. AI simplifies candidate search: While AI provides valuable insights into the hiring process, it doesn’t necessarily make candidate sourcing easier. It can streamline certain aspects, but identifying the right talent still requires human judgment and context.
  3. AI eliminates jobs: AI tends to create more opportunities by generating high-level roles for those who can effectively utilize these tools. It complements human efforts rather than replacing them, leading to the emergence of new job categories.
  4. AI is only for large companies: AI is accessible to businesses of all sizes. It can benefit small and medium-sized enterprises (SMEs) just as effectively as larger corporations by improving recruitment processes and reducing operational risks.
  5. AI recruiting is expensive and complex: AI solutions vary in cost and complexity, with many offering free trials. These technologies can help analyze data and make faster, more informed decisions without requiring a substantial financial commitment.
  6. AI is only good for simple tasks: AI has evolved far beyond simple tasks and can excel in complex and specialized domains, from healthcare diagnostics to creative content generation.
  7. AI is just an algorithm: AI encompasses a broad spectrum of capabilities, and recruiting AI is a specialized application designed to automate and enhance recruitment processes through data analysis and predictive modeling.
  8. You can teach AI anything: Training AI requires time, effort, and continuous monitoring to ensure it understands and adapts to changing requirements.

Is there a solution?

Turing experts believe that having a system that collects proper representation and information on the following three fronts can help find the right candidate.

  1. Accurate qualifications and competencies of job seekers
  2. Actual job requirements aligned with reasonable expectations
  3. Valid and reliable assessment of the fit between the job and the candidate

A limited or regional talent pool can increase the difficulty of finding the right talent in a fast and cost-efficient manner. This is why Turing built an AI-powered platform that uses 20,000+ ML data signals to source, vet, and manage world-class developers. Following a structured approach, AI supports Turing’s vetting process and is Turing’s solution to the hiring conundrum.

Transforming Hiring with Turing’s Comprehensive AI Vetting Process

In the dynamic world of tech recruitment, Turing stands at the forefront with its innovative AI-based vetting system. With a global talent pool exceeding 3 million software professionals, Turing offers career growth opportunities for developers and the assurance of being vetted once for a lifetime of prospects.  In this video, Turing’s CEO Jonathan Siddharth explains how Turing uses AI to evaluate developers. 

Progressive Assessment Tailored to the Job

Turing’s AI vetting process revolves around two key vectors: role types and dominant tech stacks. This tailored approach ensures that candidates are assessed based on the specific skills required for their roles, whether they’re Front-end Engineers or Back-end Engineers, specializing in React, Node, Python, Java, and more.

Stage 1: Fundamental Knowledge Evaluation

The journey begins with a deep dive into candidates’ fundamental knowledge. Turing’s AI system conducts automated knowledge tests, examines code blocks, and tests language or technology concepts. Dynamic scoring based on question difficulty enhances candidate quality assessment. With over 150 automated tests catering to 10+ roles, foundational skills are thoroughly scrutinized.

Stage 2: Coding Proficiency Assessment

Successful candidates progress to Stage 2, where they face coding challenges aligned with their tech stack. These challenges assess algorithmic prowess, data structure understanding, and coding best practices, emphasizing efficiency and performance. Performance metrics, including testing, debugging, code deployment, and API interaction, ensure candidates possess practical skills.

Stage 3: Soft Skills Evaluation

Recognizing the importance of soft skills, Turing’s AI evaluates candidates’ core values, communication, collaboration, and remote work adaptability in Stage 3. This holistic approach ensures candidates meet the technical and interpersonal requirements for the job.

Stage 4: Perfect Match Assurance

In the final stage, Turing’s AI system meticulously matches job requirements with candidate skills, ensuring a harmonious fit between abilities and job demands.

Turing’s four-stage assessment process, encompassing technical proficiency, soft skills, role-specific knowledge, and job compatibility, revolutionizes hiring. With a commitment to excellence and a 97% retention rate, Turing has earned the trust of 900+ companies, including industry giants like Pepsi, Disney, and Dell. Transform your hiring experience with Turing’s AI-powered Talent Cloud and reap the benefits of precision and efficiency in talent acquisition.

FAQs related to AI for recruiting

  1. What is AI recruiting?
    AI recruiting involves using artificial intelligence to assist in various stages of the hiring process, from sourcing and screening candidates to assessing their qualifications and predicting job fit.

  2. What is the role of AI in hiring process?
    The role of AI in hiring includes automating repetitive tasks, enhancing candidate matching, reducing bias, providing data-driven insights, and improving the efficiency and effectiveness of recruitment.

  3. Can AI replace humans in recruiting process?
    While AI can automate many aspects of recruiting, it cannot fully replace humans. Human judgment, communication, and empathy remain essential in evaluating soft skills and cultural fit.

  4. How AI is changing the hiring process?
    AI is changing the hiring process by streamlining tasks, reducing bias, enabling data-driven decisions, and enhancing the candidate experience, ultimately making recruitment more efficient and fair.

  5. What are the challenges of using AI in hiring process?
    Challenges of using AI in hiring include potential bias in algorithms, data quality issues, transparency concerns, legal compliance, and ensuring a positive candidate experience.

  6. What are the benefits of AI powered recruitment?
    Benefits of AI-powered recruitment include efficiency gains, better candidate matching, reduced bias, cost savings, faster time-to-fill positions, predictive analytics, and improved overall hiring quality.

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By ● Sep 18, 2023
5 Key Considerations for Building an AI Implementation Strategy
AI Services

5 Key Considerations for Building an AI Implementation Strategy

AI implementation strategy building tips: 1. Define the problem the AI will solve 2. Ensure the data you feed the AI is of good quality 3. Choose the right AI

Artificial intelligence (AI) has been widely adopted across industries to improve efficiency, accuracy, and decision-making capabilities. As the AI market continues to evolve, organizations are becoming more skilled in implementing AI strategies in businesses and day-to-day operations. This has led to an increase in full-scale deployment of various AI technologies, with high-performing organizations reporting remarkable outcomes. These outcomes go beyond cost reduction and include significant revenue generation, new market entries, and product innovation. However, implementing AI is not an easy task, and organizations must have a well-defined strategy to ensure success. We’ll be taking a look at how companies can create an AI implementation strategy, what are the key considerations, why adopting AI is essential, and much more in this article.

5 key considerations for building an AI implementation strategy

5 key considerations for building an AI implementation strategy

5 key considerations for building an AI implementation strategy

Let’s discuss the five key considerations for building an AI implementation strategy.

  1. Problem definition

    Defining the problem that the AI system will solve is crucial. It is essential to identify the business objective and the specific task that the AI system will perform. Organizations must also decide on the metrics used to evaluate the performance of the AI system before jumping into the actual implementation of AI. For instance, if an organization is building an AI system to classify images of animals, it must define the types of animals it wants to classify, the accuracy rate it wants to achieve, and the evaluation metrics it will use, such as precision, recall, and F1 score. Identifying or establishing baselines and benchmarks is also key to evaluating the effectiveness of AI solutions.

  2. Data quality

    The foundation of any AI system is only as good as the data it is trained on. The data is just as important as the AI technology itself because AI builds upon the data. If data is not correct, precise, or relevant, then the AI will make decisions that may not be accurate. Data must be accurate, relevant, and consistent to produce reliable results.

    Before diving headfirst into creating an AI model, organizations must assess their data quality and take steps to improve it if necessary. Data cleaning and preprocessing techniques can be applied to eliminate errors, inconsistencies, and duplicate records. Additionally, organizations must ensure that their data is representative of the real-world scenario they are trying to model. For instance, if an organization is implementing AI in business to predict customer churn, it must have data that represents different types of customers and their behavior. In some cases, there is not enough data to train an AI model, forcing businesses to generate synthetic data sources.

  3. Model selection

    Choosing the right model that best fits the project requirement is one of the most crucial factors that an organization, no matter what size, must consider when creating an AI implementation strategy. Different AI models have different strengths and weaknesses, and organizations must choose the one that best fits their requirements. There are several factors to consider when selecting an AI model, such as the type of data, the complexity of the problem, the availability of labeled data, and the computational resources required. For instance, if an organization has a large dataset and wants to classify text, it can consider using a large language model to create vector representations of the text and feed them to smaller classifier models like random forests, support vector machines, or small neural networks.

  4. Integration with existing systems

    Another, often neglected factor in building an effective AI implementation strategy is integrating an AI system with existing systems. This is a complex process that requires careful planning, no doubt. The AI system needs to be consistently integrated into the broader system, meaning the predictions should be used in the right place with confidence. Additionally, organizations must consider the impact of the AI system on the workflows and processes already in place—it must be integrated in a way that minimizes disruption and enhances productivity.

    For instance, if an organization is implementing an AI system to automate customer service, it must ensure that the system integrates with the existing customer service platform and that the customer service representatives are trained to use the system. This will improve productivity and significantly help manage the overall cost of implementing artificial intelligence. Additionally, it will help minimize external upkeep and expenses that could otherwise be used for the improvement of existing systems.

  5. Ethical considerations

    It’s finally time to discuss the elephant in the room: the concept of handing over crucial factors to super-intelligent machines can make people uneasy. Organizations must consider the ethical implications of implementing AI in business and ensure that the system is fair, transparent, and unbiased. Additionally, organizations must consider the potential impact of the AI system on society and the environment. For instance, if an organization is building an AI system to make hiring decisions, it must ensure that the system is not biased against certain groups of people and that the decisions are transparent.

Why should companies adopt AI?

Why should companies adopt AI?

Why should companies adopt AI?

The adoption of AI is not a mere technological upgrade but rather a strategic upgrade that can help companies move forward at a much better pace. AI delivers tangible benefits, including improved efficiency, data-driven decision-making, revenue growth, etc. Let’s explore the benefits of AI

  1. Increased efficiency and productivity

    AI technologies play a pivotal role in enhancing efficiency and productivity across industries. By automating repetitive and time-consuming tasks, AI allows employees to focus on more strategic and creative endeavors. For instance, in customer service, AI-driven chatbots and virtual assistants can handle inquiries round-the-clock, providing instant responses and freeing up human agents to tackle more complex issues. This not only reduces operational costs but also ensures a seamless and responsive customer experience, ultimately improving overall efficiency.

  2. Enhanced decision-making

    The power of AI lies in its ability to process vast amounts of data quickly and accurately. AI algorithms analyze this data to provide actionable insights, enabling organizations to make informed, data-driven decisions. Predictive analytics, for instance, can forecast market trends and customer behavior, giving businesses the edge in adapting to changing market dynamics. With AI support, decision-makers can optimize resource allocation, refine strategies, and navigate uncertain waters with confidence, resulting in better decision-making across the board.

  3. Revenue growth and market expansion

    AI is a potent driver of revenue growth and market expansion. Personalization powered by AI algorithms tailors product recommendations and marketing campaigns to individual preferences. This results in increased sales and higher customer engagement. Moreover, AI’s capacity for market segmentation and customer behavior analysis enables organizations to identify unexplored market opportunities and niche segments. Armed with these insights, businesses can successfully enter new markets and expand their offerings, further driving revenue and market share.

  4. Improved customer experience

    AI revolutionizes the customer experience by delivering tailored solutions and prompt support. Personalization is key, as AI analyzes customer data to recommend products and services that align with individual preferences. Virtual customer service agents, powered by AI, offer round-the-clock assistance, swiftly addressing customer inquiries and resolving issues. These enhancements not only enhance customer satisfaction but also foster customer loyalty, as clients appreciate the personalized and efficient services AI brings to the table.

  5. Competitive advantage and innovation

    Early adopters of AI gain a substantial competitive advantage. By leveraging AI for operational optimization, market trend anticipation, and rapid response to customer needs, businesses can outpace competitors. AI’s capacity to identify new product ideas, streamline research and development processes, and enhance product quality through predictive maintenance fosters innovation. This continuous cycle of improvement not only keeps organizations ahead of the curve but also ensures they remain adaptable and innovative in the ever-evolving business landscape.

AI implementation strategy: How can companies select the right AI model? 

How can companies select the right AI model?

How can companies select the right AI model?

Selecting the right AI model is a crucial part of your AI implementation strategy. Here are the factors that you should consider while selecting the right AI model for your company:

  1. Data type
    • Different AI models excel at handling specific types of data, such as images, text, or time-series information.
    • Identify the nature of your data to determine which model is most suitable for your project.
  2. Problem complexity
    • Evaluate the complexity of the problem you’re trying to solve. Some tasks may be well-suited to pre-trained models, while others require custom-built solutions.
    • Tailor your choice to match the intricacy of your specific problem.
  3. Labeled data availability
    • Deep learning models often require a substantial amount of labeled data for effective training.
    • Assess the availability of labeled data for your project and consider techniques like transfer learning if data is limited.
  4. Computational resources
    • Consider the computational resources available to your organization. Large models like GPT-3 demand significant computing power, which may not be feasible for all companies.
    • Ensure that your infrastructure can support the computational requirements of the chosen model.
  5. Interpretability needs
    • Think about the level of interpretability required for your model, especially in domains like healthcare or finance where transparency is crucial for regulatory compliance.
    • Choose models that align with your interpretability needs and provide the necessary level of transparency.
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Selecting the right AI model involves assessing your data type, problem complexity, data availability, computational resources, and the need for model interpretability. By carefully considering these factors, companies can make well-informed decisions that set their AI projects on a path to success.

Also, read ChatGPT vs Software Developers: Is Generative AI the End of the Road for Developers?

What should be the AI implementation plan?

To successfully implement AI in your business, begin by defining clear objectives aligned with your strategic goals. Identify the specific challenges AI can address, such as enhancing customer experiences or optimizing supply chain management.

Next, assess your data quality and availability, as AI relies on robust data. Ensure your data is accurate, relevant, and comprehensive. If necessary, invest in data cleaning and preprocessing to improve its quality.

Select the appropriate AI models that align with your objectives and data type. Train these models using your prepared data, and integrate them seamlessly into your existing systems and workflows.

Prioritize ethical considerations to ensure fairness, transparency, and unbiased AI systems. Thoroughly test and validate your AI models, and provide training for your staff to effectively use AI tools.

Plan for scalability and ongoing monitoring while staying compliant with data privacy regulations. Continuously measure ROI and the impact of AI on your business objectives, making necessary adjustments along the way.

Consider partnering with AI experts or service providers to streamline the implementation process. With a well-structured plan, AI can transform your business operations, decision-making, and customer experiences, driving growth and innovation.

Now you’re ready to create your own AI implementation strategy. What’s next?

Implementing AI is a complex process that requires careful planning and consideration. Organizations must ensure that their data is of high quality, define the problem they want to solve, select the right AI model, integrate the system with existing systems, and consider ethical implications. By considering these key factors, organizations can build a successful AI implementation strategy and reap the benefits of AI. 

That said, the implementation of AI in business can be a daunting task when done alone and without proper guidance. However, there’s a simple solution. Implementing AI in business can be simplified by partnering with a well-established, capable, and experienced partner like Turing AI Services.

Turing’s business is built by successfully deploying AI technologies into its platform. We have deployed search and recommendation algorithms at scale, large language model (LLM) systems, and natural language processing (NLP) technologies. This has enabled rapid scaling of the business and value creation for customers. We have leveraged this experience to help clients convert their data into business value across various industries and functional domains by deploying AI technologies around NLP, computer vision, and text processing. Our clients have realized the significant value in their supply chain management (SCM), pricing, product bundling, and development, personalization, and recommendations, among many others.

Turing’s AI Services: Case studies of clients who used our AI implementation strategy and scaled their business

Turing AI Services has a proven track record of delivering impactful solutions across a spectrum of industries. Here are three compelling case studies that illustrate our expertise and the tangible results achieved through our AI-powered solutions:

  1. Revolutionizing healthcare and surgical operations:
    • In this case, we deployed AI to enhance critical aspects of healthcare, including surgical operations and supply chain management.
    • Our unique AI models, tailored to specific use cases, improved efficiency and accuracy in operating rooms and ensured the availability of essential equipment.
    • The result: a reduction in materials waste, improved product recall efficiency, and enhanced customer satisfaction.
  2. Optimizing product pricing strategies:
    • Turing AI Services partnered with a client looking to gain a competitive edge in the market by optimizing product pricing.
    • We developed an AI pricing recommender that analyzed historical and competitive data to determine the best pricing strategies, maximizing profits.
    • The outcome was an increase in product and bundled product sales, providing the client with a significant competitive advantage.
  3. Advanced chatbot models and AI coding
    • The client sought high-quality, advanced-level programs for training interactive chatbot models and AI coding models to identify and correct coding errors.
    • Turing AI Services developed a methodology for training complex models efficiently, resulting in an over 80% increase in model efficiency and a 300% increase in throughput.
    • Our expertise in AI model training and deployment significantly reduced errors and improved operational efficiency.
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These case studies showcase how Turing AI Services leverages AI and machine learning expertise to address complex challenges across various industries, ultimately driving efficiency, profitability, and innovation for our clients.

FAQs related to AI implementation strategy

  1. How can AI be implemented into a business? How to incorporate AI into your business?

    AI can be implemented into a business by first defining the problem it aims to solve, assessing data quality, selecting the appropriate AI model, integrating it into existing systems, and considering ethical implications. This involves a strategic approach to align AI with business objectives and requirements.

  2. Why implement AI in business?

    Implementing AI in business offers increased efficiency, data-driven decision-making, revenue growth, improved customer experiences, and a competitive edge. It enhances operations, boosts innovation, and helps meet evolving customer demands.

  3. What are the benefits of implementing AI?

    The benefits of implementing AI include improved efficiency, enhanced decision-making, revenue growth, improved customer experiences, and competitive advantage. AI optimizes processes, provides actionable insights, and drives innovation.

  4. What are 4 advantages of AI?

    Four advantages of AI are automation of repetitive tasks, data-driven insights, enhanced personalization, and improved accuracy in decision-making. These advantages lead to increased productivity, better customer engagement, and cost savings.

  5. What is AI and how is it implemented?

    AI, or Artificial Intelligence, refers to the simulation of human-like intelligence in machines. It is implemented by defining specific tasks, collecting and processing relevant data, selecting appropriate AI models, and integrating them into systems. AI systems learn from data and make decisions or predictions to achieve predefined objectives.
Talk to Turing Experts

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By , ● Sep 13, 2023
Assessing Your Application Portfolio
Application Engineering Services

Application Portfolio Assessment: Key Considerations and Best Practices

What is application portfolio assessment? What is application portfolio rationalization? What are the benefits of assessment? Let’s find out.

Are you looking for ways to improve your organization’s efficiency and reduce costs? One approach you may want to consider is application portfolio assessment. In this article, we will explore what application portfolio assessment is, why it’s important, and some key considerations and best practices for conducting an effective assessment.

What is Application Portfolio Assessment?

Application portfolio assessment is the process of evaluating and analyzing the software applications and systems that a company uses to support its business operations. This assessment is crucial because it helps companies identify the strengths and weaknesses of their application portfolio, which can lead to cost savings, increased efficiency, and improved customer experiences. In order to conduct an efficient portfolio assessment, you need efficient application engineering services. 

Why is Application Assessment Important?

Application portfolio assessment plays a crucial role in optimizing an organization’s technology landscape by identifying redundant applications and evaluating their business value, leading to streamlined operations and improved decision-making. Here are the major reasons why application assessment is important.

  1. Identifying Unnecessary Applications 

    Conducting an application assessment allows organizations to gain a clear understanding of their software inventory. It helps identify redundant, outdated, or underutilized applications that may no longer provide value. By identifying and eliminating unnecessary applications, businesses can streamline their IT landscape, reduce costs, and improve operational efficiency.

  2. Evaluating Business Value

    Legacy systems often lack clarity on their business value, making it challenging for organizations to prioritize investments and allocate resources effectively. An application assessment enables businesses to evaluate the relevance and impact of each application on their operations. This assessment helps identify high-value applications that should be maintained, enhanced, or replaced, leading to better strategic decision-making.

  3. Enhancing Integration and Collaboration

    Inefficient IT silos can result in the development of new systems instead of integrating functionalities into existing applications. An application assessment highlights integration opportunities and identifies areas where consolidation or integration can improve collaboration and information flow. This ensures that applications work harmoniously to support business processes, reducing redundancy and promoting a more agile and collaborative environment.

  4. Mitigating Risk and Security Concerns

    Outdated or unsupported applications pose significant security risks to organizations. Application assessments help identify vulnerable applications, outdated software versions, and potential security gaps. By identifying and addressing these risks, organizations can enhance their security posture, protect sensitive data, and comply with regulatory requirements.

  5. Enabling Future-Proofing and Digital Transformation

    Application assessments provide insights into the technological gaps within an organization’s application landscape. This knowledge enables businesses to plan for the future and align applications with strategic goals and digital transformation initiatives. By identifying opportunities for modernization, organizations can embrace new technologies, leverage cloud-native solutions, and stay competitive in a rapidly evolving market.

Value Pillars of Application Portfolio Rationalization

Value Pillars of Application Portfolio Assessment

Value Pillars of Application Portfolio Assessment

To ensure a balanced and efficient enterprise application development, many organizations prioritize the systematic identification and decommissioning of aging applications to drive operational efficiency, reduce complexity, and contain costs. The main goals of enterprise-level Application Portfolio Rationalization include:

  1. Simplified IT Landscape: Streamline the number of applications to benchmark levels and improve business agility.
  2. Cost Reduction: Optimize the number of applications within the portfolio to decrease costs.
  3. Complexity Reduction: Decrease the number of technologies and platforms used, reduce functional and technical complexity, and adopt a standard integration platform to improve overall process and service stability while reducing operational risk.
  4. Standardized and Simplified Business Processes: Reduce process variations across products, geographies, and contracts.
  5. System Diversity Reduction: Decrease the diversity of systems and enhance interoperability.
  6. Modernization: Redesign aging and high-value applications, automate applications, processes, and data, and leverage the adoption of new technologies such as IoT, Blockchain, AI, and ML-based applications.
  7. Cloud Migration: Identify opportunities to migrate to the cloud (SaaS, PaaS, etc.).
  8. Improved User Experience: Enhance the user experience of customer-facing applications.

Key Considerations for Application Portfolio Assessment

Let’s look at the key considerations one by one. 

  1. Business Value

    One of the primary considerations for an application portfolio assessment is the business value that each application provides. Companies should assess each application’s contribution to business operations and determine whether it aligns with the organization’s strategic goals. Applications that provide little or no value should be eliminated or replaced with more cost-effective solutions.

    To determine the business value of an application, you should consider the following factors:
    • How does the application support the organization’s strategic goals?
    • How does the application impact customer experience and satisfaction?
    • How does the application improve business processes or productivity?

  2. Technical Health

    Another important consideration is the technical health of the applications in the portfolio. Companies should assess the overall quality and reliability of their applications and determine whether they meet industry standards and best practices. For example, applications that are prone to crashes, security vulnerabilities, or performance issues can negatively impact the organization’s productivity and profitability.

    To assess the technical health of an application, you should consider the following factors:
    • Does the application meet industry standards and best practices?
    • Does the application have any technical issues or limitations?
    • Is the application scalable and flexible enough to meet changing business needs?

  3. Integration

    Integration is another key consideration in an application portfolio assessment. Companies should assess how well their applications integrate with each other and with third-party systems. Applications that are poorly integrated can result in data inconsistencies and inefficiencies, leading to increased costs and reduced productivity.

    To assess the integration of an application, you should consider the following factors:
    • How well does the application integrate with other applications and systems?
    • Does the application use standard interfaces and protocols?
    • Is the application’s data consistent with other applications and systems?

  4. Cost

    Cost is a critical consideration in an application portfolio assessment. Companies should evaluate the total cost of ownership (TCO) for each application, including licensing fees, maintenance costs, and support expenses. Applications that are too expensive or offer little value should be replaced or eliminated.

    To evaluate the cost of an application, you should consider the following factors:
    How much you will need to pay for licenses and how often do they need to be renewed?
    How often does the application need to be maintained and how much it will cost to keep it updated?
    What are the support expenses? Are they free or paid? How responsive and helpful is the support team?

Best Practices for Application Portfolio Assessment

To get the most out of an application portfolio assessment, it is essential to follow best practices. Here are some tips for conducting an effective application portfolio rationalization:

  1. Develop a Comprehensive Inventory

    The first step in any application portfolio assessment is to develop a comprehensive inventory of all the applications in use. This inventory should include details such as the application name, vendor, version, licensing, and support details. A comprehensive inventory provides a foundation for an effective assessment and helps companies identify redundant or overlapping applications.

  2. Evaluate Business and Technical Value

    Now, when it comes to assessing the business value, you need to focus on how each application supports your organization’s strategic goals and meets your customer’s needs. It’s important to determine if the application helps you achieve your desired outcomes and aligns with your overall business strategy.

    On the other hand, when it comes to technical value, you need to assess the application’s quality, reliability, scalability, and security. You must ensure that the application meets the technical requirements, adheres to industry standards, and can handle the expected load and user traffic. You also need to evaluate the application’s security features and ensure that it complies with data privacy and regulatory requirements.

    By conducting a thorough assessment of the business and technical value of each application in your portfolio, you can identify the most valuable applications that align with your strategic goals and provide the best technical performance. This will help you prioritize your resources and investments to ensure that your portfolio remains efficient, effective, and competitive in the ever-changing business landscape.

  3. Prioritize Applications for Action

    Based on the assessment, companies should prioritize applications for action. Applications that provide little value or are poorly integrated should be eliminated or replaced first. Applications that are critical to business operations but have technical issues should be addressed next.

  4. Create an Application Roadmap

    An application roadmap is a plan for how the organization will manage its application portfolio over time. The roadmap should include details such as application retirement plans, replacement timelines, and upgrade schedules. A roadmap helps companies prioritize and plan their application portfolio management efforts.

Benefits of Application Portfolio Rationalization

Benefits of Application Portfolio Assessment

Benefits of Application Portfolio Assessment

There are many benefits to conducting an effective application portfolio assessment:

  1. Cost Savings

    An application portfolio rationalization can help companies identify redundant or overlapping applications, leading to cost savings. Eliminating applications that offer little value or are too expensive to maintain can result in significant cost savings.

  2. Increased Efficiency

    Assessing the technical health and integration of the application portfolio can lead to increased efficiency. Applications that are poorly integrated or have technical issues can result in data inconsistencies and inefficiencies, leading to reduced productivity. Addressing these issues can help organizations improve their overall efficiency.

  3. Improved Customer Experience

    Assessing the business value of the application portfolio can help companies identify applications that directly support customer needs. Eliminating applications that offer little or no value can lead to improved customer experiences and satisfaction.

  4. Better Strategic Decision Making

    By understanding the business value and technical health of each application in the portfolio, companies can make better strategic decisions about their application portfolio management. For example, companies may decide to invest in upgrading certain applications or replace them with more modern and efficient solutions.

Conclusion

Application portfolio assessment or rationalization is a critical process for companies looking to optimize their application portfolio and achieve cost savings, increased efficiency, and improved customer experiences. By following best practices and conducting an effective assessment, organizations can identify opportunities for improvement and develop a roadmap for managing their application portfolio over time. With the right approach and mindset, application portfolio rationalization can become a key enabler of success for any organization.

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By ● Jun 28, 2023
Your Cloud Strategy and Assessment Guide for 2023
Cloud Services

Choosing the Right Cloud Platform: A Cloud Strategy and Assessment Guide

This blog will provide you a comprehensive cloud strategy and readiness guide to help you make an informed decision when moving to the cloud.

The rapid adoption of cloud computing has transformed the way businesses operate, enabling them to scale and innovate faster than ever before. With the plethora of cloud platforms available today, it can be challenging to choose the right one for your organization. This blog post will provide you with a comprehensive cloud assessment and strategy guide to help you make an informed decision, focusing on factors such as scalability, reliability, and the configurations or types of systems that cloud platforms can provide.

Understanding Your Business Needs

Before diving into the world of cloud platforms and cloud services, it’s crucial to gain a deep understanding of your organization’s requirements. Start by analyzing your current infrastructure, applications, and data to identify the key challenges and opportunities. Consider factors such as cost, performance, scalability, security, compliance, and the types of systems and configurations that will best suit your needs.

Once you have identified your needs, you can begin to evaluate different cloud platforms against these criteria. Keep in mind that there is no one-size-fits-all solution, and the right choice will depend on your unique circumstances.

Take a look: Multi-Cloud vs Hybrid Cloud: 3 Key Differences

Comparing Cloud Platforms

Cloud assessment: Comparing Cloud Platforms

Comparing Cloud Platforms

There are three major cloud providers in the market: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Each platform has its strengths and weaknesses, so it’s essential to carefully assess its offerings, with a particular focus on scalability, reliability, and the types of systems it can provide.

Amazon Web Services (AWS)

AWS is the market leader, offering a wide range of services and tools to support various workloads. Its strengths lie in its maturity, extensive ecosystem, global presence, and ability to provide highly scalable and reliable systems. AWS is an excellent choice for organizations looking for a robust and versatile platform with a proven track record.

Microsoft Azure

Azure is a strong contender, particularly for organizations with a significant investment in Microsoft technologies. Its integration with Office 365 and other Microsoft products makes it an attractive option for businesses looking for seamless interoperability. Additionally, Azure’s focus on hybrid cloud solutions and its ability to provide a variety of configurations can be beneficial for organizations with on-premises infrastructure.

Azure vs AWS: Which is Better?

Google Cloud Platform (GCP)

Google Cloud Platform is known for its innovation and cutting-edge technologies, such as artificial intelligence and machine learning. Its strengths lie in its commitment to open-source technologies, competitive pricing, and its ability to provide highly scalable and reliable systems. GCP is an excellent choice for organizations focused on data analytics, machine learning, and containerization.

Comprehensive Cloud Assessment

Experience the Turing Difference: Comprehensive Cloud Assessment Services

Conducting a comprehensive cloud assessment is a critical step in the cloud strategy and readiness process. This assessment evaluates your organization’s readiness to migrate to the cloud and identifies potential roadblocks to ensure a seamless cloud experience. 

Navigating the complex world of cloud migration can be daunting, but Turing is here to help. Our comprehensive cloud assessment services, delivered by a team of seasoned experts, simplify the process and ensure your organization’s success in the cloud. Let’s explore the unparalleled advantages of partnering with Turing:

  1. Tailored Migration Approach: We meticulously analyze your organization’s unique needs to develop the most suitable migration strategy, be it a lift-and-shift, application modernization, or hybrid approach.
  2. Cost Optimization Insights: Our in-depth assessment of your current infrastructure and usage patterns uncovers valuable opportunities to optimize costs and enhance resource utilization.
  3. Proactive Risk Management: Turing’s thorough evaluation identifies potential security, compliance, and performance risks, empowering you to address them proactively and confidently.
  4. Customized Roadmap: We collaborate with you to create a bespoke migration roadmap that aligns seamlessly with your organization’s goals, timelines, and resources.

Turing’s Best Practices for a Successful Cloud Migration

Cloud assessment: Turing's Best Practices for a Successful Cloud Migration

Turing’s Best Practices for a Successful Cloud Migration

Our team of experts follows these tried-and-tested practices to ensure a smooth and successful cloud migration:

  1. Stakeholder Engagement: We involve all relevant stakeholders, including business leaders, IT teams, and end-users, fostering a smooth transition and securing buy-in from all parties.
  2. Goal Setting and Metrics: Working closely with you, we establish clear objectives and key performance indicators (KPIs) to measure and track the success of your cloud migration.
  3. Security and Compliance Focus: Turing prioritizes your security and compliance requirements, ensuring the chosen cloud platform meets and exceeds your expectations.
  4. Team Empowerment: We provide targeted training and knowledge transfer, equipping your team with the skills and confidence to manage the new cloud environment effectively.
  5. Continuous Monitoring and Optimization: Our experts diligently monitor your cloud environment, optimizing resource usage, costs, and performance to ensure ongoing success.

Conclusion

Selecting the right cloud platform is a critical decision with far-reaching implications for your organization’s growth and innovation. By entrusting Turing with your comprehensive cloud strategy and readiness assessment, you’ll unlock the full potential of the cloud and set your organization on a path to success. Our expert team will conduct an in-depth assessment, compare platforms, and focus on scalability, reliability, and system configurations tailored to your needs. Experience the Turing difference and maximize the benefits of your cloud journey. Discover more about our unparalleled cloud services and how we can elevate your organization’s cloud transformation.

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By ● Jun 21, 2023
Cloud Readiness Assessment Best Practices
Cloud Services

Cloud Readiness Assessment: Key Considerations and Best Practices

This blog shares key considerations and best practices for assessing your organization’s cloud readiness, including evaluating your IT infrastructure and more.

As cloud computing continues to transform the way businesses operate, organizations are increasingly looking to move their business applications to the cloud. However, navigating cloud migration can be challenging, and requires careful planning and preparation. Before making the move, it is important for organizations to assess their cloud readiness, to ensure that they have the necessary infrastructure, resources, and processes in place to support a successful migration.

In this blog post, we will discuss some key considerations and best practices for assessing your organization’s cloud readiness, including evaluating your IT infrastructure, determining your cloud objectives, assessing your workloads, determining your migration strategy, and considering cloud governance and management.

What Is a Readiness Assessment?

What is cloud readiness assessment

What is cloud readiness assessment?

A readiness assessment is a process of evaluating your organization’s existing IT infrastructure, applications, data, and processes to determine their suitability for cloud migration. The assessment involves analyzing various factors, such as workload complexity, resource requirements, and data sensitivity, to determine which applications and processes are suitable for the cloud. By conducting a thorough readiness assessment, you can identify potential roadblocks and challenges that could impact the migration process, and develop strategies to mitigate these risks.

Steps of readiness assessment

Steps of readiness assessment

  1. Evaluate Your IT Infrastructure

    The first step in assessing your organization’s cloud readiness is to evaluate your existing IT infrastructure. It is essential to identify any potential roadblocks or challenges that could impact the migration process. For instance, you need to check whether your hardware and software are compatible with cloud platforms. It is also important to check for legacy software that may require significant upgrades. Conducting a comprehensive evaluation of your IT infrastructure will provide you with insights into the resources and infrastructure you will require to support a successful migration.

  2. Determine Your Cloud Objectives

    Before embarking on cloud migration, it is important to determine your organization’s cloud objectives. This involves identifying the specific business goals that you hope to achieve through the use of cloud computing. For instance, you may be looking to reduce IT costs, improve scalability and flexibility, or enhance security and compliance. Understanding your objectives will help you select the right cloud platform and services to meet your needs.

  3. Assess Your Workloads

    When assessing your organization’s cloud readiness, it is important to evaluate your workloads to determine which applications and processes are suitable for the cloud. This involves analyzing factors such as workload complexity, resource requirements, and data sensitivity. Some workloads may be better suited for public cloud services, while others may require a private cloud or hybrid cloud approach. By assessing your workloads, you can determine the best approach for migrating your applications to the cloud.

  4. Determine Your Migration Strategy

    Once you have evaluated your IT infrastructure, identified your cloud objectives, and assessed your workloads, it is time to determine your migration strategy. This involves selecting the appropriate migration approach, such as a lift-and-shift, re-platforming, or rehosting. It also involves developing a detailed migration plan, including timelines, resource requirements, and risk mitigation strategies. Your migration strategy should be aligned with your cloud objectives and workloads to ensure a successful migration.

  5. Consider Cloud Governance and Management

    As you prepare to migrate to the cloud, it is important to consider how you will govern and manage your cloud environment. This includes establishing policies and procedures for cloud usage, monitoring and optimizing cloud performance, and ensuring compliance with regulatory requirements. It is also essential to consider how you will manage cloud costs, which can quickly spiral out of control if not properly managed.

Benefits of Cloud Readiness Assessment

Benefits of cloud readiness assessment

Benefits of cloud readiness assessment

By evaluating your organization’s readiness for the cloud, you can identify potential roadblocks and challenges that could impact the migration process, and develop strategies to mitigate these risks. You can also ensure that you have the necessary infrastructure, resources, and processes in place to support a successful migration. The benefits of cloud readiness assessment are numerous, consider the following examples:

  1. Streamlining Cloud Strategy: Cloud assessments ensure tailored cloud strategies, maximizing cost savings, scalability, and agility for businesses.
  2. Mitigating Risks: Identifying potential challenges early allows for proactive steps, leading to a smoother cloud transition.
  3. Scalable Infrastructure: Evaluating existing IT infrastructure helps in optimizing architecture for best performance in the cloud.
  4. Resource Management: Pinpointing gaps in IT resources enables strategic investment in workforce upskilling and streamlined processes.
  5. Data-Driven ROI: Assessments provide insights for data-driven decisions, accelerating and maximizing the cloud investment’s return.
  6. Security and Compliance: Assessments consider regulations and data protection, ensuring secure and compliant cloud environments.
  7. Continuous Improvement: Establishing a baseline helps monitor progress and remain agile in the ever-evolving cloud computing landscape.

However, there are also some potential challenges to be expected in conducting a cloud readiness assessment. For example, the process can be time-consuming and resource-intensive and may require the involvement of multiple stakeholders across the organization. Additionally, the assessment may uncover issues that require significant investment or resources to address, which can impact the overall business case for cloud migration.

Cloud Readiness Assessment Tools and Templates

Cloud readiness assessment tools and templates can make the process easier and more efficient. They can help you identify potential issues and provide a framework for evaluating your IT infrastructure, cloud objectives, workloads, migration strategy, and cloud governance and management. Turing leverages best practices and frameworks defined by Hyperscalers to be translated to customer needs. These frameworks enable organizations to safely decide on readiness to move to the cloud and the best approach to move to the cloud. The following tools are integrated into turing services during execution for the organization.

AWS Cloud Adoption Readiness Tool (CART)

The AWS Cloud Adoption Readiness Tool (CART) provides an automated assessment of your organization’s readiness to migrate to AWS. The tool is designed to help organizations assess their progress with cloud adoption and identify gaps in organizational skills and processes. Your CART report includes a heatmap and radar chart with detailed scoring information and resources to help you improve your readiness score. 

Azure Cloud Adoption Framework

The Azure Cloud Adoption Framework provides a comprehensive guide to help organizations plan and execute a successful migration to Azure. It includes tools, templates, and best practices for evaluating your cloud readiness, selecting the right migration approach, and managing your cloud environment. It is a full lifecycle framework that enables cloud architects, IT professionals, and business decision-makers to achieve their cloud adoption goals.

Azure vs AWS: Which is Better? | Turing

Google Cloud Readiness Assessment

The Google Cloud Readiness Assessment provides a free assessment of your organization’s cloud readiness. It evaluates your IT infrastructure, workloads, and security and compliance posture, and provides recommendations for a successful migration to Google Cloud.

Conclusion

In conclusion, assessing your organization’s cloud readiness is an essential step in the cloud migration process. By evaluating your IT infrastructure, determining your cloud objectives, assessing your workloads, determining your migration strategy, and considering cloud governance and management, you can ensure a successful migration to the cloud. While there are potential challenges in conducting a cloud readiness assessment, the benefits of a thorough assessment far outweigh the potential risks. Cloud readiness assessment tools and templates can help streamline the process and provide valuable insights to ensure a successful migration.

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By ● Jun 19, 2023
Cloud Migration Process WP
Cloud Services

Navigating the Cloud Migration Process: A Step-by-Step Guide to Successful Cloud Adoption

Looking to migrate from an on-enterprise setup to the cloud? Here’s a step-by-step guide for a successful cloud migration process.

What is the cloud migration process all about? Well, as businesses grow and evolve, they require a robust and flexible IT infrastructure that can adapt to changing needs and scale with the business. This is where the cloud emerges as a game-changer. The cloud is a cutting-edge technology that enables businesses to access computing resources over the internet, such as processing power, storage, and applications, on-demand and from anywhere in the world. It offers immense value to businesses of all sizes, from startups to large enterprises.

One of the significant benefits of cloud is flexibility. It offers businesses the scalability they need, providing resources when required, and allowing businesses to scale back when not needed. Another crucial advantage is cost savings. It eliminates the need for large upfront capital investments in infrastructure and equipment and instead allows businesses to pay for tailor-made services on a usage-based model.

Migrating applications and workloads to the cloud, however, requires careful planning and execution. Businesses can choose from various cloud migration approaches, such as rehosting, re-platforming, refactoring, or rebuilding, depending on their unique needs and goals. Rehosting involves moving existing applications to the cloud with little to no modification while re-platforming requires upgrading the applications to run on a new cloud platform. Refactoring involves developing cloud-native applications designed to take full advantage of cloud services while rebuilding involves creating entirely new cloud-based applications.

Even though the actual cloud migration process can be extremely daunting, with numerous factors to consider, such as selecting the appropriate tools, developing a future-proof strategy, and determining the appropriate types for optimum efficacy—it can bring profitable benefits with proper planning and execution. In this article, we will look into a tried and tested step-by-step guide to successful cloud adoption, including the benefits and pitfalls of the entire process.

Cloud Migration Process: Step-By-Step

Cloud Migration Process Step-By-Step

Cloud Migration Process Step-By-Step

Cloud adoption is becoming increasingly important for businesses seeking scalability, flexibility, and cost efficiency. By following these steps, organizations can navigate the complexities of cloud migration and maximize the benefits of the cloud for their operations.

Step 1: Identify Your Business Objectives and Requirements

The first step in your migration cloud strategy is a definite no-brainer — it fundamentally involves evaluating your current infrastructure and determining what aspects of your IT environment are suitable for cloud migration. You must also identify any compliance requirements, such as data privacy regulations and industry-specific standards, that must be considered during the cloud migration process. By identifying your business objectives and requirements, you can then select the appropriate cloud migration tools and develop a strategy that aligns with your business goals.

Step 2: Choose the Appropriate Cloud Migration Strategy

The next step in the cloud migration process is to choose the appropriate cloud migration strategy. There are several types of cloud migration, including lift and shift, re-platforming, and refactoring. Lift and shift involve moving applications and data to the cloud without making significant changes. Re-platforming involves making some modifications to applications and data to make them compatible with the cloud environment. Refactoring involves completely redesigning applications and data to take advantage of cloud-specific features and capabilities. Each of these strategies has its benefits and pitfalls, so it is essential to select the appropriate one for your organization’s specific needs.

Step 3: Develop a Cloud Migration Plan

Once you have gotten over steps 1 and 2, next up is to develop a cloud migration plan. This involves developing a timeline for the cloud migration process, identifying any potential risks or challenges, and developing a comprehensive plan for mitigating them. The plan should also include data migration to the cloud and application migration to the cloud, as well as testing and validation of the cloud environment to ensure that it is suitable for production.

Step 4: Select the Appropriate Cloud Migration Tools

Another crucial step in the process is selecting the appropriate cloud migration tools. These tools can help organizations identify the appropriate cloud migration strategy, migrate data and applications to the cloud, and manage the cloud environment once the migration is complete. Some popular and widely used tools include Amazon Web Services (AWS) Migration Hub, Microsoft Azure Migrate, and Google Cloud Migrate for Compute Engine. However, it is essential to evaluate each tool’s capabilities and limitations to select the one most appropriate and easily manageable for you and your team.

Step 5: Execute the Cloud Migration Process

Finally, the major step in the cloud migration process that requires your team’s intense focus is to execute the actual migration plan. This involves the substantial process of migrating data and applications to the cloud, testing and validating the cloud environment, and ensuring that the environment is suitable for production. During the cloud migration process, it is essential to monitor the cloud environment and identify any issues that arise. By addressing issues promptly, organizations can ensure that the entire process is successful and that all the elements are optimized for their specific needs and functions.

Benefits of Cloud Migration

One of the primary benefits of implementing the cloud migration process is increased scalability, allowing organizations to easily adjust their infrastructure to meet changing demands. For example, a retail company can easily scale up its cloud infrastructure during the holiday season to handle increased website traffic and then scale it down afterward to save costs.

Cloud migration can also improve data security and disaster recovery, as cloud providers typically offer robust data protection and backup solutions. With the extensive resources and expertise to implement and maintain robust security measures, cloud providers can ensure that sensitive data migration to the cloud and applications are protected from potential threats. For example, a healthcare provider can leverage cloud security features to protect patient information and comply with regulatory requirements at the same time — being able to focus on daily operations and worrying less about whether or not the data is safely tucked away from unauthorized third-party applications.

The cloud migration process also offers significant cost savings by reducing capital expenditures on hardware and software. By leveraging cloud infrastructure and services, organizations can shift to an operational expenditure model, paying only for the resources they use. For example, a startup company can save costs by leveraging cloud infrastructure rather than investing in expensive on-premise infrastructure.

Moreover, most often than not, the cloud migration process results in improved accessibility and collaboration. Cloud-based tools and applications can be accessed from anywhere, allowing employees to work remotely and collaborate seamlessly. For example, a global organization can leverage cloud-based tools to allow employees from different locations to collaborate on projects in real time — now that’s teamwork!

Pitfalls of Cloud Migration

While there are many benefits to the cloud migration process, there are also some potential pitfalls that organizations must be aware of. One of the main concerns would be the potential for vendor lock-in. This occurs when organizations become reliant on a particular cloud provider and find it challenging to switch to another provider due to the cost and effort involved. Another potential pitfall is the lack of control over the cloud environment, as organizations must rely on the cloud provider to manage the infrastructure and ensure uptime and reliability.

Another disadvantage is that the actual process can also be complex and time-consuming, with potential disruptions to business operations. If not executed correctly, application migration to the cloud can result in data loss, security breaches, and reduced productivity. Therefore, it is essential to plan the cloud migration process carefully, select the appropriate cloud migration tools, and engage experienced cloud migration specialists to make sure that all the crucial steps of the process are completely successful.

In conclusion, cloud migration is an essential process for organizations seeking to improve efficiency, scalability, and cost savings. Organizations can successfully navigate the cloud migration process and optimize their cloud environment by following a step-by-step guide and taking into account the benefits and pitfalls to ensure the highest ROI and project success.

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By ● Jun 5, 2023
Maximizing Business Value through Application Portfolio Rationalization
Application Engineering Services

Maximizing Business Value through Application Portfolio Rationalization

Benefits of application portfolio rationalization: 1. leads to cost savings 2. improves application performance 3. offers better visibility into application usage

In today’s fast-paced, technology-driven world, companies rely heavily on various applications to perform their daily operations. However, maintaining a large number of applications can be challenging and expensive, forcing companies to focus on maximizing their value proposition while minimizing costs. One way to achieve this is through application portfolio rationalization (APR), a process that focuses on assessing the existing portfolio of applications and strategizing how to best leverage the footprint of applications.

What is Application Portfolio Rationalization?

What is Application Portfolio Rationalization

What is Application Portfolio Rationalization

Application portfolio rationalization is the process of assessing an organization’s existing application portfolio and identifying redundant or outdated applications. This process helps identify applications that can be consolidated, retired, or replaced with more efficient solutions. The main goal of application portfolio rationalization is to optimize the application portfolio, leading to reduced costs and improved operational efficiency. In order to conduct a successful portfolio rationalization, you need good application engineering services.

Benefits of Application Portfolio Rationalization

Benefits of Application Portfolio Rationalization

Benefits of Application Portfolio Rationalization

Application portfolio rationalization is more than just a buzzword—it’s a powerful strategy that can help organizations streamline their IT and significantly boost productivity. By combining cost optimization and performance enhancement, this strategy unlocks a world of opportunities for businesses to thrive.

Cost Optimization: Unleashing Financial Freedom

The magic of application portfolio rationalization truly begins when organizations grasp its potential for cost optimization. As the digital landscape expands and becomes more sophisticated, maintaining sprawling applications often becomes a financial drain. Instead of letting these redundant or antiquated applications sap your resources, application portfolio rationalization empowers your team to strategically purge unwarranted expenses.

By taking the axe to unnecessary applications, organizations can realize significant savings on maintenance and support costs. This fiscal freedom then allows more effective resource allocation, ultimately cutting down bloated IT expenditures and opening up new possibilities for growth and innovation.

Revolutionary Performance Improvements: Elevating Your IT Ecosystem

Another game-changing benefit of application portfolio rationalization is its ability to supercharge application performance. As technology evolves, managing an exceedingly complex web of applications becomes a daunting mission, often resulting in performance hiccups like sluggish response times or system crashes.

However, with an expertly rationalized application portfolio, your organization will be equipped to uncover and tackle underperforming applications at their roots. By zeroing in on the performance bottlenecks and implementing the right solutions, application portfolio rationalization translates into a faster, more efficient IT ecosystem that propels productivity to new heights.

In short, application portfolio rationalization redefines the way organizations optimize their IT—simultaneously streamlining costs and upping performance. Don’t let your organization be shackled by excessive applications; unlock the full potential of your IT with this transformative strategy.

Potential Pitfalls of Application Portfolio Rationalization

Potential Pitfalls of Application Portfolio Rationalization

Potential Pitfalls of Application Portfolio Rationalization

Application portfolio rationalization comes with a plethora of advantages, but it’s not without its share of challenges. Smart organizations will be ready to face these potential pitfalls head-on, ensuring that they reap only the rewards of a streamlined IT landscape.

Safeguarding Interconnected Business Processes

While reaping the benefits of application portfolio rationalization, organizations must tread cautiously to avoid disrupting critical business processes. Behind the curtain, applications often rely on each other to seamlessly perform an array of essential functions. Eliminating an application without thorough planning or testing can wreak havoc on vital processes and lead to costly downtime and missed revenue opportunities.

To circumnavigate this pitfall, organizations must establish a well-defined process for evaluating and rationalizing applications, effectively minimizing the risk of disruption and safeguarding interdependent operations.

Assessing Application Value: When Every Decision Counts

Another hurdle in application portfolio rationalization is the challenge of valuing each application’s contribution to the business. While some applications may be fundamental to a particular function, their true worth might not be immediately obvious. This creates a conundrum as organizations try to decide whether to retain, replace, or remove these applications.

The solution? A comprehensive analysis of each application’s value to the organization. With actionable data in hand, organizations can confidently make well-informed decisions that positively impact their IT infrastructure and bottom line.

That said, although application portfolio rationalization comes with its fair share of obstacles, a forward-thinking organization with the right strategies in place doesn’t need to break a sweat. Arm your team with proper planning and assessment tools to overcome these challenges and harness the full potential of rationalized IT.

How Application Portfolio Rationalization Maximizes Business Value

Despite these potential pitfalls, application portfolio rationalization can help organizations maximize business value. One way this is achieved is by improving alignment between IT and business objectives. Often, IT departments are tasked with maintaining and supporting applications, while the business has its own set of objectives. Application portfolio rationalization provides a framework for aligning IT and business objectives to ensure that the application portfolio supports the organization’s overall goals.

Another way that application portfolio rationalization can help maximize business value is through better visibility into application usage and performance. By analyzing application usage and performance metrics, organizations can gain a better understanding of how their applications are being used and identify areas for improvement. This can lead to more informed decision-making when it comes to rationalizing the application portfolio.

Conclusion

In summary, application portfolio rationalization is a process that can help organizations maximize business value by optimizing their application portfolio. It can lead to cost savings, improved application performance, better alignment between IT and business objectives, and better visibility into application usage and performance. However, be aware of the potential pitfalls, such as the risk of disrupting critical business processes and the difficulty of identifying the value of each application. With careful planning and execution, application portfolio rationalization can help organizations achieve their business goals and stay competitive in today’s ever-changing business landscape.

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By ● May 22, 2023
Sales Development Representative Day in Life
Developer Testimonials

Welcome to a day in the life of Vadin*, an SDR (Sales Development Representative) at Turing! 

Vadin is an SDR at Turing. In this post, he talks about his schedule and gives a perfect glimpse into a typical SDR day. Let’s see how Vadin describes his day.

Vadin’s job is to connect with new clients to help them discover the benefits of collaborating with Turing. 

Turing’s fully remote flexibility and comprehensive data analytics make the job as simple as can be. 

Vadin is based in India but works in the U.S. market, so his work hours overlap with his neighbors’ bedtime. But that doesn’t mean he misses out on life. In fact, he is currently enrolled in a master’s business program, watches football, and spends ample time with family and friends. 

Listening to Vadin talk about his schedule gives a perfect glimpse into a typical SDR day. Even with his working hours aligned with the United States, Vadin takes full advantage of his daytime hours! It’s hard to not be envious when going through his schedule. 

Let’s see how Vadin describes his day:

~~~~~~~~~~~~~~~~~~~~~

10:30 AM IST (10 PM PST) – Alarm buzzes. Ah, time to wake up and smell the chai. I can’t start my day without a cup of chai and some breakfast. My family is awake, and I spend the late morning chatting with them. 

11:30 AM IST (11 PM PST) – Start studying for my master’s program. Continuing education is very important to me, and I’m grateful my schedule allows for 2–3 hours of daytime to focus on my studies. 

2:30 PM IST (2 AM PST) – Time for lunch. I’m a firm believer in the power of lunchtime. I take a break to eat some delicious food and catch up with whoever’s around. Sometimes I’ll go out to lunch with friends to share stories about our weekends and have a good laugh to energize my midday—perfect timing to beat the restaurant lunch rush! I also like to go for a walk outside to clear my mind and prepare for the second half of my day.

4:00 PM IST (3:30 AM PST) – Reconnect with family, watch football, run errands, or whatever else needs to be done that day. 

8:00 PM IST (7:30 AM PST) – Around this time I start preparing for my work. I sign on to check in with my manager, read any emails, prioritize action items, and do some client prospecting. I’m currently on an account-based campaign, so research is a big part of my role. Others are on different campaigns where client leads are given by the operations team. That role involves a lot more cold-calling, so our schedules can vary a bit. 

8:30 PM IST (8:00 AM PST) – Once I’m caught up, I join the daily sync-up meeting where we discuss the strategy on how to reach a prospect, share any blockers with managers, and brainstorm solutions. Our stand-up meeting is one of the best parts of working at Turing, as I can even listen to my call recordings with managers to learn from my mistakes and improve for the next call. My direct manager Arun is very good about giving polite feedback in the meeting, while more personal or stringent feedback is reserved for one-on-ones. 

9:30 PM IST (9 AM PST) – Dinner time! Here I break for 15–20 minutes to have dinner with my family and re-fuel for the work ahead. I wish them all sweet dreams, and then it’s back to work!

10 PM IST (9:30 AM PST) – After dinner, it’s time to put on my detective hat and start researching potential clients. I comb through LinkedIn and other platforms to find more companies that might be interested in our services and ensure the ones I was assigned had decision-making power. Then I dive into making connections. I spend about 2 hours researching prospects and reaching out in creative ways to make first impressions. 

12 AM IST (11:30 AM PST) – Break time. As an SDR, collaboration is crucial, and I like to keep a good relationship with my team members. I discuss progress with the team and learn about their experience with their prospects—we even practice our pitches on each other. I also like to stretch at this time and maybe grab a snack. It’s important to stay active and vibrant through the night! 

12:30 AM IST (12 PM PST) – It’s noon on the U.S. Pacific Coast—the best time for cold-calling. I’ve found that people are much friendlier and more likely to answer after morning meetings and lunchtime. I spend about 3 hours calling and try to make 40–60 calls a day. For other campaigns, calling time might be higher and targets increased to 100–120 calls a day. 

I use various sales and marketing techniques to grab the attention of prospects and start the conversation. My main goal is to identify a prospect’s needs and pain points and see if Turing’s services can solve their problems.

I also like to throw in some jokes and puns in my messages to make them stand out.

3:30 AM IST (3 PM PST) – As the day nears the end, I spend time updating the CRM and other sales tools. I review my progress for the day, prepare reports, and identify goals for the next day.

4 AM IST (3:30 PM PST) – Once the day is over, it’s time to sign off and unwind. I get myself ready for bed and spend some quiet time reading or meditating to slow down my brain from an active day at work. As long as I’m asleep before the sun comes up around 6 AM, I’m good for a full 6–8 hours of regenerative rest. 

~~~~~~~~~~~~~~~~~~~

All in all, a day in the life of an SDR at Turing is never dull. It takes persistence, patience, and efficiency to identify and qualify potential leads for the company, but Vadin loves the challenge of converting new clients and making connections, even if he doesn’t work a typical 9-5. And the fact that he can ask for different campaigns and rearrange his schedule the way it works best for him allows him to discover the most productive practices.

Vadin says he has complete autonomy in his work, be it making changes in the templates or requesting a new CRM tool with better features. He feels his voice is always heard and appropriate measures are taken to remove any blockers. He enjoys his work and feels like a valuable part of the sales process. With dedication, hard work, and the right attitude, Vadin and other SDRs are making significant contributions to Turing’s success.

So here’s to you, Vadin—keep on slaying those sales!

*Names have been changed to maintain privacy.

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By ● May 16, 2023
Building New AI Solutions for Intelligent Enterprises and Developers
AI Services

Building New AI Solutions for Intelligent Enterprises and Developers

At Turing, where AI and ML are at the core of our company’s DNA, we’ve been hard at work developing initiatives to support intelligent businesses and developers.

AI transformation is digital transformation. The current speed of AI innovation presents a turning point for companies and developers alike. Future success now hinges on new opportunities to galvanize businesses and engineers through shared AI tools and knowledge.

At Turing, where AI and machine learning are at the core of our company’s DNA, we’ve been hard at work developing new initiatives to support intelligent businesses and developers in this new era. Anyone can sign up for the latest updates as we launch these new initiatives later this year.

AI Transformation Accelerator

AI Transformation Accelerator

AI Transformation Accelerator

Unlock the full potential of your organization. This 4-week, timeboxed offering is designed to investigate and evaluate the potential impact of AI methodologies on your organization. 

We work with you to identify AI and data-driven solutions that can solve your business problems. We’ll help you establish an impactful and optimized path forward, supported by existing data, and create a roadmap for the implementation of AI solutions. This includes data collection and ingestion, AI/ML modeling methods, and an ROI framework. 

AI Advisory Services

AI Advisory Services

AI Advisory Services

Get extensive AI knowledge and experience to revolutionize your business. Trusted by hundreds of companies and VCs, Turing is offering AI advice from our experts. 

This free service empowers companies to realize the numerous benefits of AI, gain a solid understanding of its fundamentals and core technologies, and ultimately unlock the full potential of AI and machine learning. With AI Advisory, companies will gain access to Turing’s extensive knowledge and experience, enabling them to frame their AI strategy and stay ahead of the curve.

AI-Accelerated Software Development

AI-Accelerated Software Development

AI-Accelerated Software Development

Supercharge software development with our AI-enhanced development pilot program. By leveraging our cutting-edge AI models, Turing developers can build with unparalleled speed, efficiency, and accuracy for faster project delivery, cost savings, and a competitive edge for your business. 

Discover streamlined workflows, enhanced productivity, seamless integration, expert support, and continuous improvement from the leader in AI-driven development.

Tech Talk Series – How to Code with an AI Copilot

Tech Talk Series - How to Code with an AI Copilot (1)

Tech Talk Series – How to Code with an AI Copilot (1)

Become a 100x developer with cutting-edge AI training. Sharpen your skills to reshape software development.

The rise of AI presents the opportunity to augment your abilities and elevate your importance in an evolving tech landscape. 

Join us for a series of tech talks featuring global experts on AI-assisted development. This initiative aims to provide developers with the knowledge and tools necessary to stay at the forefront of innovation.

Don’t miss out on these breakthrough initiatives

Sign up for updates as we roll out each of these exciting opportunities for intelligent enterprise and developer transformation.

Already far along on your AI journey?

Turing’s integrated consulting and delivery solutions can help solve your complex business challenges. Our AI services are tailored to each client’s specific needs and include AI strategy development, solution design, and implementation. Learn more and talk to an expert at turing.com/services/ai.

Are you a seasoned AI developer or ML engineer?

Turing is home to some of the best minds and best career opportunities for people like you. Enjoy a remote career with some of the top companies in the world. Learn more and sign up at turing.com/jobs.

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Introducing TuringGPT – Your Ultimate AI Solution

Discover TuringGPT, the innovative chat app by Turing. Enjoy free access* to the most advanced generative pre-train transformer (GPT) in the world. Boost your creativity, productivity, and efficiency with our user-friendly interface and extensive library of prompt templates.

Free GPT4 access*: Enjoy cutting-edge AI creativity at absolutely no cost.

Deep prompt library: Jump-start conversations with our ever-expanding template library.

Easy output customization: Effortlessly harness the power of AI, regardless of your skill level.

Unlock the power of TuringGPT today.

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By ● May 12, 2023
Expert Opinions A Discussion on the Open Letter by the Future of Life Institute
For Employers

Expert Opinions: A Discussion on the Open Letter by the Future of Life Institute

Turing conducted a webinar on the open letter by the Future of Life Institute written to the UN by GenAI scientists that raised concerns about the risks of GenAI

On April 13, 2023, Turing conducted a LIVE webinar titled “Building Responsible AI: The Human Way.” to discuss the open letter by the Future of Life Institute. The moderator for the event was Sandip Parekh, VP of Turing, and the panelists were:

  • Paula Griffin, Director of Product, Turing
  • Kai Du, Director of Engineering, Turing
  • Srinath Sridhar, CEO & Co-founder, Regie.ai
  • Susannah Shattuck, Head of Product, Credo.ai

The webinar kicked off with a discussion on the topic of the recent open letter written to the United Nations by a group of GenAI (Generative AI) scientists that raised concerns about the risks and implications of GenAI. 

Introduction

The letter, which was signed by 50 GenAI scientists, outlined the risks of creating superintelligent AI, which could potentially pose an existential threat to humanity. The letter raised concerns about the possibility of AI systems being used for malicious purposes, including cyber warfare, financial manipulation, and social engineering. The panelists discussed the contents of the letter and shared their opinions on the potential consequences of creating self-improving artificial intelligence that could surpass human intelligence. The panelists’ opinions were insightful, and it was exciting to hear from experts in the AI industry.

Panelist Pointers

  • Srinath Sridhar, the first to speak, pointed out that Regie takes ethics and bias very seriously in all its developments. He disagreed with the notion that artificial general intelligence (AGI) is close, stating that it’s at least years away if not decades. Therefore, a six-month moratorium on AI development would not make a significant difference. He also argued that there is no containment issue with AI development as there is with nuclear or biological research, as it is unlikely that AI will get out of the labs and take a life of its own to kill humanity. Srinath suggested that regulation on the product side, like FCC or FDA regulation, is more effective than regulation on research.

  • Paula Griffin added that the letter was interesting because even though technological advances always seem to come out of nowhere, they are often a natural progression for people who have been working in the field. She compared the introduction of BERT embeddings in 2018 to the current situation with AGI, stating that this is not a sudden breakthrough, but a natural evolution. Paula also noted that a six-month pause would not make much of a difference, as AI development will continue to advance regardless.

  • Susannah Shattuck, at this point, stepped in to agree with the other panelists that a six-month pause is not the solution. She pointed out that the letter is not just about the six-month pause—there were feasible suggestions for establishing safety and guardrails around the development of AI systems. She suggested pushing companies to make it detectable when an output is being used that was generated by a generative AI system or a large multimodal model, such as using watermarks. She emphasized that AI development should be done transparently, responsibly, and ethically. Susannah suggested that we focus on building trust in AI systems by making them transparent and accountable.

  • Kai Du acknowledged that implementing a grace period of six months where no action is taken may not be feasible, but it can draw attention from the government and prompt policy changes to prepare for future challenges. Kai expressed that Sandip made a good point about this news being dated, as Databricks has already released model Dolly since the letter was made public. Kai pointed out that we may see a lot of exciting progress in the coming weeks and concluded that it’s challenging to pause everything given the rapid pace of development in the field.

Webinar Audience Poll Results

Of a live audience of 75+ participants, Sandip noted that almost 60% answered YES to the poll question: “Do you think there should be a pause on the training of AI systems more powerful than GPT-4 for at least 6 months, as suggested in the statement?”

Sandip then went on to detail how there are some very interesting viewpoints being taken by people on both sides of the conversation.

Conclusion

It’s clear that the open letter has sparked a lot of conversation in the tech industry, and it is crucial to have these discussions about responsible AI development. The opinions expressed by the panelists suggest that a six-month pause on AI development is not a viable solution to ensure the responsible development of AI systems. Instead, the focus should be on building transparent, responsible, and ethical AI systems that are trustworthy. The panelists emphasized the importance of regulatory frameworks that ensure the safe and ethical development of AI. Overall, the discussion provided valuable insights into the future of AI development and the need to build responsible AI.

Request Full Webinar Recording

Thanks for reading this far! If you enjoyed this content, don’t miss out on the rest of the webinar that focused on the need for building responsible AI and ways to achieve it. The panelists offer their insights on the need for transparency, responsibility, and ethics in AI development, which are crucial for building trustworthy AI systems. The full 60-minute discussion addresses many other essential aspects of the future of GenAI, with active discussions on the core, need for building responsible AI and ways to achieve it.

Click here to gain access to the full 60-minute discussion.

Custom Assessment Offer

As a limited-period offer, Turing has announced a FREE custom AI assessment worth $$$. To get your assessment or to learn more about the details, please reach out to benazir.waheed@turing.com.

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By ● May 9, 2023
Building Responsible AI - The Human Way (2)
For Employers

Building Responsible AI – The Human Way

Turing hosted a live webinar focused on helping the audience navigate common pitfalls and build responsible AI with accountability. Here are the key takeaways

Webinar Summary

Event Date: April 13, 2023; 3 pm EST

Introduction to the Event

The nuances of human language and the subjective nature of words such as positive, negative, good, bad, right, and wrong make the meaning of words subjective. This poses a challenge in creating ethical AI systems, as AI models learn from human data and can inherit biases and prejudices that exist in society. Therefore, it is vital to develop ethical AI systems that take into account the diversity of human experience and ensure that AI does not perpetuate or amplify existing inequalities. To achieve this, transparency, accountability, and inclusivity must be prioritized.

On April 13, 2023, at 3 pm EST, Turing hosted a live webinar focused on helping the audience navigate common pitfalls and build AI responsibly with accountability. The event attracted more than 65 professionals from major enterprises who joined us live to step into the ethical side of futuristic AI that is inclusive, unbiased, responsible, accountable, and human-centered. Turing’s webinar featured five leading industry experts from the world of AI who discussed their experience building AI services and the important global factors that will impact the future of ethical AI.

Meet the Speakers

The five industry experts who spoke at the webinar are as follows:

  • Kai Du, Director of Engineering, Turing, formerly a Facebook software engineer
  • Paula Griffin, Director of Product, Turing, formerly a Quora PM with extensive experience in product management and data science
  • Srinath Sridhar, CEO & Co-founder, Regie.ai, formerly one of Facebook’s first 100 engineers, using AI to transform content creation for businesses
  • Susannah Shattuck, Head of Product, Credo.ai, formerly from IBM Watson and Google X, using her deep expertise to help organizations design, develop, and deploy ethical AI at scale
  • Sandip Parekh, Vice President, Turing, an experienced transformation leader with broad experience in delivering SI programs, solution consulting, business development, and strong customer relationship management, acted as the moderator for the event

Event Summary

The event began with the panelists discussing the recent letter by the Future of Life Institute calling for a six-month moratorium on AI development. The panelists agreed that the pause is not an effective approach, with Srinath specifically explaining that there are several problems with the letter, including the fact that there is no containment timeline for the research. Susannah accurately pointed out the useful components of the letter, though in her opinion it’s wrongly headlined as a “six-month pause.”

Sandip then introduced the panelists and himself and pressed on with the webinar’s first question, which addressed the ROI on building AI solutions and the essential considerations of building responsibly for companies looking to sell AI products. Sandip and Susannah discussed the ethical implications of using AI and how to maximize the use of best practices for business outcomes. Susannah recommended that companies focus on responsible AI development if they want to sell AI products to customers concerned about the risks associated with them.

Moving on to the next open question, Susannah brought up the need for multiple and varied stakeholders who need to be included in the design phase early on. Srinath discussed how Regie.ai was built with a holistic approach early on and threw light on seven categories that were given special focus to ensure that bias was kept at bay. He also mentioned some of the 50 different use cases and categories that were treated sensitively.

In the following segment, the panelists delved into the topic of human control, with Paula taking the lead in explaining the various forms it can take. Through her adept facilitation, the audience recognized the irony that biases are, in fact, introduced through human training. Paula delved into the different types of human control that can be applied to various categories and dispelled common myths held by model builders, highlighting the importance of a moderation team in ensuring ethical and fair outcomes.

Kai then explained how the Turing Talent Cloud, a platform that connects companies with top AI talent, is designed to help companies build responsible AI. He emphasized the importance of finding talent with a diverse range of backgrounds and experiences to ensure that AI systems are inclusive and representative of different perspectives.

As the webinar moved into the Q&A section, Sandip and Srinath addressed concerns around the use of AI in autonomous weapons systems. They noted that although there are potential benefits to using AI in military operations, there are also significant risks and ethical concerns that need to be carefully considered.

The panelists also discussed the importance of data privacy and retention policies for AI systems. Susannah noted the growing need for more transparency around what data is used to train AI systems and that governments are starting to regulate what data can and cannot be used.

The webinar concluded with the announcement of giveaway winners and an invitation to reach out to Turing for a tailored assessment to kickstart the Imagine phase of the IDR framework for AI services. The IDR framework (Imagine, Deliver, Run) is backed by more than 3M cumulative hours of services project experience and supported by 50K immediately available, deeply vetted, and AI-matched developers from the Talent Cloud.

(Please contact benazir.waheed@turing.com for more details)

Conclusion

The development of ethical and responsible AI systems is essential to ensure that AI does not perpetuate or amplify existing inequalities. The panelists at the Turing webinar provided valuable insights and best practices for building responsible AI, including prioritizing transparency, accountability, and inclusivity; involving diverse stakeholders early in the design phase; and ensuring human control over AI systems. The use of the IDR framework and platforms like Turing Talent Cloud can also help companies build responsible AI and find top AI talent with diverse backgrounds and experiences. It is important that we continue to have discussions and take action to promote ethical and responsible AI development that benefits society as a whole.

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By ● May 9, 2023
Meet the Sales Development Representative Team at Turing
Turing Community

Meet the Sales Development Representative Team at Turing

What is it like to be a Sales Development Representative (SDR) at Turing? Well, you get flexibility, freedom, and excellent culture, say the people on the job!

What it’s like to be a Sales Development Representative (SDR) at Turing?

Darshan Khemka answers!

Sales Development Representative (SDR) at Turing

Darshan Khemka: Sales Development Representative (SDR) at Turing

Kehmka recalls when his recruiter called to extend an offer to join Turing. “I still remember I was on tour to South India while interviewing with Turing in August 2022. The remote first workplace was something I was looking to join to keep up with my love for traveling. Then I realized this is the opportunity I have always been waiting for…let’s just go with it. So this was my ‘I saw the opportunity and I took it’ moment. My tour continued till October 2022; Turing’s remote first policy and work culture has always supported my passion while I worked full time.”

Now a Growth Specialist, Darshan’s work involves researching prospective clients, making cold calls, and generating meetings that can result in revenue for Turing. His day-to-day tasks include researching prospective customers, making calls, follow-ups, pipeline building, and tracking daily activities. Darshan is also involved in running the SMS Magic campaign. “I am loving working at Turing—processes here are extremely streamlined. You know, this is my third organization, and this is the first organization where there’s literally no micromanagement in sales, which is very, very rare, and a lot of freedom has been given to us,” he explains.

Darshan loves playing and watching football. He also loves traveling —it’s not uncommon for Darshan to explore new cities, and Turing provides him the flexibility to work from anywhere. 

“Wherever there’s the internet I can work whether it’s raining cats and dogs, snowing, or 50°C, I can always work,” he grins.

Summing up his experience as an SDR at Turing, he says “I’m enjoying those eight hours because I’m just working and I’m not being pestered or micromanaged by anyone. The team believes in collaborative efforts; everyone is there to support each other. About work—most of the youth will relate as well—people are hired to do a particular thing and then are asked to do 10+ additional tasks. Here at Turing, we are doing what we are hired to do, we are not piled up with unnecessary tasks. No interference, everything is good. I am loving it here at Turing.”

Here’s what Michael Oppong has to say about his journey in Turing!

Sales Development Representative (SDR) at Turing

Michael Oppong: Sales Development Representative (SDR) at Turing

Michael Oppong is a Sales Development Representative at Turing. He joined Turing almost a year back, and his experience has been full of learning and growth since then.

A large part of what sold Michael on Turing is its feedback culture.  He values that the organization constantly welcomes feedback – no matter when it takes place.  During the SDR interview process, Michael interviewed with Senior Growth Manager Anurag Gupta, and Anurag wanted to share with Michael what he should highlight in his background for subsequent interviews.  

“Even during my interview process Anurag shared feedback with me, guided me on things to prepare so I can perform to my full potential in the next rounds, and took the time to educate me about the team and their goals. I thought someone who has not even hired me but is very much interested in sharing his knowledge with me must be a great person to work with and a great place to explore my potential,” he remembers. 

In his own words, what keeps Michael going is his empathetic and supportive team. “For me, I like everything about Turing, but particularly I really like having one-on-one conversations with my direct manager Arun because his feedback and inputs have helped me a lot in improving myself as an SDR.”

According to Michael, this feedback helps him take corrective action over mistakes and stay aligned with what’s expected of him. 

“Apart from work, we also have virtual hangout sessions,” Michael continues. “On Friday we all gather on a Zoom call with drinks in hand and talk about random stuff apart from work like what’s happening around the world and everyone’s interests/hobbies. It’s super fun.”

In addition to having a strong team, Michael finds Turing’s workplace to be a significant factor that attracted him to the company. “What I love the most is the work environment. It is very empowering, and everyone helps each other grow. There is a sense of collectivism that Turing encourages, and one thing I would like to point out is the respect that everyone offers. I remember when I got my first client meeting cracked and the way everyone appreciated—it was such a confidence boost for me!” 

Sharing what he loves to do outside of work hours,  Michael says “… I would probably be watching a show or a series or playing football which is a great passion of mine. I also love the flexibility Turing offers which helps me enjoy my time with my family and do things I am most passionate about.”

Summing up his experience as an SDR at Turing, Michael says that Turing has been his dream company to work for. “I live in Ghana. Turing is one of the prominent organizations here—you can see Turing all over the place, on Linkedin, Facebook, Instagram, or Twitter. It has its place. When I got an invite to apply for the Sales Development Representative role, I got really excited. It was truly memorable for me. Probably one of the happiest days ever!” 

Work with us

Feeling inspired to work with us? We are always on the lookout for great talent. Have a look at our active openings and apply here. If you don’t find a suitable role, drop an email to careers@turing.com

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By ● May 4, 2023
Turing Services Offer AI Services, Cloud Services, & More
For Employers

Turing Announces the Launch of Turing Services

Turing offers 20+ unique technology solutions across AI services, cloud services, and application engineering services delivered by deeply vetted tech experts.

Today, every company is a software company, whether they realize it or not. But unfortunately, the traditional IT services model wasn’t built for a software-first world. Why? Well, traditional IT services mean three things:

1. slow response

2. shallow vetting

3. compromise on the best solution for your business.

Owing to these challenges, companies worldwide are looking for alternatives to IT service firms that can meet their software-driven needs. 

What if your IT services were powered by a software-driven Talent Cloud? 

Enter the new standard in tech services for your business, powered by the Talent Cloud: Turing Services.

What are Turing Services?

Turing Services deliver ideal solutions for your unique technical needs, challenges, and requirements building a comprehensive solution strategy. Our engineering experts from the world’s leading software companies bring modern software development methodology to your business. 

We offer 20+ unique technology services across AI, cloud, and application engineering—with solutions delivered and run by deeply vetted tech experts from the Talent Cloud. 

Developed over several years, you can expect deep technical expertise and the delivery of complex solutions that perfectly fit your business needs.

Turing Services can plan, deliver, and manage technology projects and programs across several technical domains. In addition, you can enjoy complete, dedicated development teams or scale your existing teams with the needed technical expertise, “on-demand” thanks to the quality, speed, and efficiency of our Talent Cloud. 

How can Turing Services help you?

Conventional technology services are unable to meet the speed, quality, and efficiency requirements of today’s fiercely competitive business landscape. This shortfall has been further catalyzed by cutbacks, budgetary constraints, and the incessant shortage of high-caliber tech talent.

Turing Services offers a sophisticated, modern-age approach that combines the unmatched speed and quality of our AI-powered Talent Cloud with the practical expertise of our solutions experts, who have a proven track record of scaling some of today’s most iconic technology companies. Today, 400+ top companies, including several from Fortune 500 trust Turing for its services. Here’s why.

  1. Quality: Turing’s Talent Cloud is home to 50,000+ deeply vetted developers and engineers to meet your business needs and goals. We use 20,000+ ML data signals including job descriptions, vetted skills, past experience, and interviews to secure the right people for your team.

    As a result, our AI-powered vetting is more rigorous and reliable than traditional recruiting. Our focus on quality has earned us partner status with all three major cloud service providers: AWS, GCP, and Azure.

  2. Speed: We use AI algorithms to assemble the right team to deliver specific services at the push of a button. Worry less about the team and the solution, because we take care of it for you. 

    Our speed is driven by a massive pool of 3M+ technology experts. With 50k vetted and available right now—across a variety of roles, skills, and experience levels.

  3. Efficiency: Turing developers and engineers are available full-time and more efficient than hiring in-house. You can scale your teams up or down and only pay for the resources you use. The best part? You don’t have to worry about any hidden cost of hiring a software development team. 

In other words, Turing Services offers unparalleled industry and technology knowledge, and a global expert workforce, for your complex technology needs. But how does Turing deliver the ideal experience for IT services each time? How does Turing Services successfully plan, deliver, and manage technology projects and programs across several technical domains?

Introducing the IDR framework. 

What is Turing’s IDR framework?

Our engineering experts have honed the best practices learned from 20+ years of experience into the IDR (Imagine, Deliver, Run) framework. 

The IDR framework provides complete, end-to-end solutions in the uptake, implementation, and management of AI, cloud computing, and application engineering, tailored to meet the tech talent and innovation demands of modern enterprises. Here’s how Turing’s IDR framework provides you with the ideal services experience. 

  • Imagine

    This is the planning and strategy stage where Turing understands your business goals and challenges, then helps envision the solution.

    At this step, services include consulting, advisory, market research, feasibility studies, technology-to-business mapping analysis.  

  • Deliver

    As a part of this implementation and delivery stage, Turing designs, builds, and deploys the agreed-upon solutions.

    This step includes services like software development and deployment, systems integration, Infrastructure setup, testing, among others. 

  • Run

    As a part of the last stage, i.e., the execution management and support stage, Turing provides maintenance, support, and optimization of the deployed solutions.

    Services include service delivery and management, performance monitoring, capacity planning and management, change management, problem management, and more. 

Turing Services offered

Turing Services provides a framework for solution success across the following areas. Let’s look at them one by one.  

  1. AI Services

    Let our in-house engineering experts make AI implementation successful for your business.

    How can Turing’s AI Services help you?

    Turing AI Services are built by engineering experts from some of the most successful Silicon Valley firms like Google, Meta, Microsoft, LinkedIn, and more to have ever implemented AI at scale.

    We use our AI experience to help clients convert their data into business value across various industries—deploying AI technologies around NLP, computer vision, and text processing. Our clients have realized the significant value in their supply chain management (SCM), pricing, product bundling and development, and personalization and recommendations capabilities among many others with our AI services.

    Power your AI projects with our expertise. 

  2. Cloud Services

    As a part of the Cloud Services, our experts and the Talent Cloud build, operate, manage, and maintain your optimal cloud environment.

    How can Turing’s Cloud Services help you?

    Turing gives you sustainable, scalable cloud solutions fast and on demand.

    Our experts can accelerate your business growth and innovation by driving agility, enhancing operational efficiency, and ensuring performance and security—no matter what cloud you use.

    Turing gives you access to quality, experienced Cloud experts who imagine unique cloud solutions for you across all three major cloud service providers: AWS, GCP, and Azure. As a cloud-agnostic solutions provider, we’re equipped to deliver an ideal solution every time. With Turing Cloud Services, you’ll enjoy the highest level of flexibility and efficiency to solve your biggest cloud computing challenges.

    Make your ideal cloud environment a reality with our Cloud Services. Also, read: Navigating the Cloud Migration Process: A Step-by-Step Guide to Successful Cloud Adoption

  3. Application Engineering Services

    Produce your ideal application with the help of Turing experts and the Talent Cloud design and prototype.

    How can Turing’s Application Engineering Services help you?

    Our team of application engineering experts will enhance your application or application development environment through a well-defined architecture, process transformation, and innovation.

    As a result, you get an adaptive build every time. With Turing Application Engineering Services, you’ll enjoy the highest level of flexibility and efficiency to solve your toughest technical challenges. Most importantly, you will get sustainable, scalable application solutions fast and on demand.

    Build applications as resilient as your business with our Application Engineering Services. 

A brief overview of Turing’s AI Services, Cloud Services, and Application Engineering Services

Overview of Turing’s AI Services, Cloud Services, and Application Engineering Services

Turing’s AI, Cloud, and Application Engineering Services

Final words

Traditional services are over. It’s time you switched to the Talent Cloud. 

Turing Services represents a significant advancement over antiquated service models and a new age in tech consulting. Regardless of your needed services, we’ll engage the tech leads, developers, and others necessary for your business outcome. Thanks to our AI-powered Talent Cloud and years of proven experience delivering quality services, you can enjoy speed and transparency with comprehensive governance and controls. 

Visit the Turing Services page to learn more. 

Tell us the skills you need and we'll find the best developer for you in days, not weeks.

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By ● Mar 27, 2023
How Top Companies Hire Technical Talent
Turing Community

Turing Community Announces Panel Discussion: How Top Companies Hire Technical Talent

Attend the panel discussion on “How Top Companies Hire Technical Talent” to learn what companies want from prospective technical employees.

What makes top tech companies tick? Their world-class technical talent base, of course! These tech giants have effective processes to attract, recruit, and retain the best talent. But there’s an apparent shortage of exceptional talent, and to acquire that talent, companies are ready to pay more and offer the flexibility to work from anywhere.  

However, because the talent picked is world-class, the selection ratio from the total number of applications can be remarkably small. For example, at Google, only 1 in 130-150 applicants get through—that’s 0.7 percent. The success rate at companies like Apple and Facebook is equally low. 

So, what do these companies look for? How do they select the best technical talent? What processes do they have in place? How do you get your foot in the door at these companies? These questions worry developers looking for jobs at these companies.

To address these questions, Turing Community is organizing a panel discussion on “How Top Companies Hire Technical Talent” on Aug 29, 2022. In this panel discussion, tech leaders and seasoned hiring managers will reveal what top companies look for when hiring technical employees.

RSVP here.

What is this panel discussion about?

Recruiting techniques vary across companies, making the application process feel like a moving target to developers.

Coping with these varying requirements can be exhausting on two levels. First, it is difficult to identify what each company looks for, and second, it is excruciating to prepare from scratch for each interview. 

To address these issues, Turing Community has invited top recruiters and seasoned hiring managers for a panel discussion to decode what top companies want in candidates. They will give you an inside look into the recruiting and onboarding process.

What’s in it for you? 

Have you come across a job opportunity at a top tech company but didn’t apply because you weren’t sure whether you fit the bill? Were you unsure of their recruitment and interviewing process? If so, this panel discussion on “How Top Companies Hire Technical Talent” will definitely help you.

Here’s what you can take away from this panel discussion:

  • Key insights on what hiring managers want from top candidates
  • Essential soft skills for interviews
  • Tips on how to ace technical interviews
  • Real-time interview question feedback from seasoned hiring managers
  • Turing’s insights on hiring developers

Who will be there at the fireside chat?

Mimi Zheng, Enterprise Sales Director, Turing, and Caitlin Cardoza, FSS Sales Director, Turing, will speak at the fireside chat before the panel discussion. 

Who will be there at the panel discussion? 

The panelists include:

Ritesh Rajani

Ritesh is a Lead AI and Data Engineer at a leading U.S. retailer. He has almost two decades of experience, including software engineering expertise in Retail Data Science and IoT. He has worked as an HR DEI Practitioner and has co-founded D&I Consulting. 

Hernan Mogollón

Hernan is a Turing developer at Rivian. He enjoys software maintenance and inspires his team for Test-Driven Development (TDD). With more than 11 years of experience, he is also a Team Lead at Rivian.

Elohor Thomas

Elohor is the CEO and co-founder of CodeLn. She has more than 11 years of experience in software engineering, tech recruitment, education, and sales. She helps companies hire ideal programmers and guides programmers to find their dream jobs. 

Who should attend this panel discussion?

All developers looking to find a job at leading tech companies would benefit from this panel discussion. 

How can you attend this panel discussion? 

The event will start on the following date and time:

  • Monday, Aug 29, 2022
  • 09:30 AM (PDT)

You can sign up for the panel in a few easy steps:

Go to https://community.turing.com/events/details/turing-turing-global-community-presents-panel-discussion-how-top-companies-hire-technical-talent/ 

  • Click on “Login to RSVP”
    • If you have already registered with Turing Community, log in with your registered email address and password. 
    • If you are new to Turing Community, click on “Create an account” and register. Then RSVP using the link above. 
  • That’s it!

PS: This event is free and open to all developers. 

To sum up

The Turing Community offers software developers and engineers the opportunity to learn new skills and grow their careers.

The upcoming panel discussion, “How Top Companies Hire Technical Talent,” will arm you with essential tips and tricks to confidently face your next interview. If you’re a developer who’s ready to shift your software development career into high gear, register for the panel discussion today!

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

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By ● Aug 23, 2022
CEO Chat with Turing Developers
Turing Community

Turing Community Announces CEO Chat with Turing Developers

The CEO Chat with Turing Developers will help you make the right moves in securing the best remote jobs to build a successful remote developer career.

The pandemic accelerated the need for companies to innovate and embark on the remote work revolution. And while studies now show remote work enhances productivity and increases work-life balance, many developers are still striving to find fulfilling, successful work-from-home opportunities. 

To help address this need, Turing Community is organizing ‘CEO Chat with Turing Developers’ on July 21, 8:00 AM PDT. In this panel discussion, Turing CEO and Co-Founder Jonathan Siddharth talks to Turing-matched developers and uncovers what made their remote developer journeys successful. 

RSVP here.

What’s this panel discussion really about?

Getting a good remote developer job involves finding the right opportunity at the right time and knowing how to ace the process — resume, application, stack tests, and interviews. Being successful as a remote developer requires tech skills and habits geared towards productivity and efficiency. 

In this panel discussion, three Turing-matched developers share how they found and maintained great careers using their Silicon Valley-caliber skills. Plus, Jonathan Siddharth reveals some tips on becoming a remote developer with Turing. 

What’s in it for you?

Whether you’re a remote developer looking for a switch or transition to remote working, this panel discussion will guide the way. You can find answers to pressing questions such as:

  • How and where to find a remote developer job?
  • Is there a one-time vetting process that can help you avoid repeated test-taking?
  • Do remote jobs have a secure future, or are they really just a phase?
  • What does it take to become a matched developer?
  • What are the benefits of being a matched developer?
  • What are the best practices for a successful remote developer career?
  • What is Turing’s vetting and matching process?
  • What role will Turing play in your developer journey?

Who will be there at the panel discussion?

Turing CEO & Co-Founder Jonathan Siddharth will host successful Turing-matched developers at this event. 

The matched developers at the event include:

Jeremy Adrian Muñoz Torres. Jeremy is a Turing developer from the Dominican Republic. He’s a self-taught software engineer working as a full-time remote developer with Rivian, a U.S. company that makes electric vehicles. 

In Jeremy’s words, “I’ve benefited greatly from Turing. I now work with an amazing company that makes electric vehicles and allows me to meet some incredible people from all over the world. Working with Turing feels like doing something different every day.”

David Odohi. David is a Turing developer from Kenya. He’s an enthusiastic software developer with more than five years of experience and is now working with Upward Finance. 

David says, “I’m working with various technologies and building applications for businesses. Turing has been a great support in my career journey, and I’m looking forward to seeing how far we, as the Turing family, can go!”

Hernan Mogollón. Hernan is a Turing developer from Colombia. With more than 11 years of experience in software development, he now works as the Software Team Lead at Rivian. 

Hernan says, “If I were a soccer player, Turing would be my agent! Working with Turing is undoubtedly one of the best. Turing not only finds jobs for me but also helps me take care of my family.”

Who should attend this panel discussion?

Remote developers looking to work remotely are welcome to attend this panel discussion. 

How can you attend the panel discussion?

The event starts on the following date and time:

Thursday, July 21

08:00 AM (PDT)

Signing up for the panel is easy: 

The event is free and open to all developers. 

To sum up

The Turing Community offers software developers and engineers the opportunity to learn new skills and grow in their careers. 

The upcoming panel discussion, CEO Chat with Turing Developers, will guide you to make the right moves in securing the best remote jobs and the best practices to build a successful remote developer career. So if you’re a software developer looking to supercharge your career, register for the event today!

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

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By ● Jul 18, 2022
Turing jobs Working in Silicon Valley at 20 is no small feat!
Turing Community

Working in Silicon Valley at 20 Is No Small Feat!

When we say Turing jobs are boundaryless, we mean it! Take a look at Jeremy’s journey with Turing as our youngest software developer. Fact: He’s just 20 years old.

Meet Jeremy, one of our youngest professionals working at Turing. 

At only 20 years old, he’s working in Silicon Valley with a Turing customer. Jeremy is passionate about coding and sharing his love for his profession. He shared his story and tips to help software developers boost their careers!

Turing jobs

Life before Turing jobs

“I was 17 when I started coding professionally.  You must do an internship in the Dominican Republic once you finish high school.  When I started considering learning professionally, the coding community I was participating in offered me an internship and then said: “Yep, we want to keep you” After that, I created a LinkedIn account because I saw other teammates [doing it.] A year later, because of LinkedIn, I started networking, and the founder of another company working for an American client contacted me to join them. It was probably my first interview, and it went great,” he explains.

Network. Network. Network.

From a very young age, Jeremy has learned the value of networking. He says: 

“People should network. Share what they are doing, share what they’re learning and try to help others on their way. I believe this is important because it opens several doors for you and helps you learn more. When you can explain something, you have greater chances of understanding the fundamentals of that topic.”

Leverage social media

“The idea that got me started was the following: I should not use my development skills only for a job. I’d still get the job and work on some cool projects, but I’d also help others do the same. That’s what I decided to do. I shared my journey, the things I’m learning, the things I want to learn, some tips, and some suggestions, on Twitter. I am just starting there, I barely have like 400 followers, but every day I get messages from people asking me questions,” Jeremy smiles.

Related post: Turing Review: How Much Do Developers Earn with Turing?

“And I have met many people [sharing great content on] their own Twitter handles. So I suggest skilled senior developers teach people to do some stuff with what they know. It will be rewarding. And he adds: I remember one YouTuber that helped me learn technical skills, like variant structures and algorithms that I used for the Turing interview, and now we both follow each other on Twitter. That was amazing for me. “

He advises sharing content on social media with the goal of networking: “Try to find something that you think you’ll like best. In my case, it was Twitter because I thought of simplicity since I already have a job. I wanted something that allowed me to provide content without risking anything else. Find something that resonates with you and just start doing it.”

Consistency is everything

“I do like to say that, in the beginning, quantity is more important than quality. The more you do, the more you practice. That is when the quality comes in. If you’re planning to do it, just start. It doesn’t matter if the content is not very good at the beginning. If you continue practicing, it will get better,” Jeremy concludes.

You can check out Jeremy’s LinkedIn and Twitter handles for more updates!

Are you a developer looking for a remote software job? Try Turing. Turing can help you land high-growth, high-paying jobs with top US-based companies right from the comfort of your home. Visit the Apply for Jobs page to know more!

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

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By ● Jul 18, 2022
Turing.com launches Remote Work Guide
For Employers

Turing Announces the Launch of the Remote Work Guide

Turing.com’s Remote Work Guide is a free handbook for building & managing remote teams. The guide shares tips to beat remote work challenges & leverage remote potential.

The past couple of years have driven a rapid — and in many cases, unplanned — shift to remote work worldwide. We now live in a remote-first world. Every company is in a race to reap the benefits of remote engineering talent.

Organizations are struggling to rent office space and recruit great talent. Employees want flexibility in their work. They want to be with their families and bring down their commute to a minimum. The rising costs, hiring pressures, and cloud-based tools have made remote work an excellent choice. 

What is the Remote Work Guide?

The Remote Work Guide is a free, comprehensive handbook for building and managing remote teams. The guide breaks down the benefits of working remotely and shares tips to overcome the most prevalent remote work challenges. It also outlines practical strategies for leveraging remote potential to its fullest. 

The guide shares tips rooted in Turing’s years of experience building a remote team of over 1000 employees and a talent pool of over 1.5 million remote developers. 

Turing hopes employers and employees looking to enhance their remote work processes can pick up new suggestions from the guide. 

Who should work remotely?

The Remote Work Guide aims to help readers make the most of their remote work experience. And so, the guide has something to offer for everybody! 

  • Newly remote teams can find popular tips and tricks for adapting to the distributed way of working. 

  • Organizations looking to enhance their existing remote processes can pick up new ideas here.

  • For managers, the guide lists some of the best practices for building a high-performing team in a remote as well as a hybrid setup. 

How can the Remote Work Guide help you?

Turing.com Remote Work Guide launch

Turing.com Remote Work Guide Launch

The growing preferences for remote are paving the way for a new work paradigm that prioritizes flexible work options. Subsequently,  companies looking to attract the best talent must acknowledge how and when employees work best and alter their strategies accordingly. 

But optimizing business processes for the remote setup requires knowledge and careful planning. 

And the Remote Work Guide aims to help you with just that! 

Here’s what the guide includes.

  • Part One: Foundation

    Part one, Foundation, shares the major remote work trends and top remote work benefits companies should know. In addition, it also highlights the challenges and misconceptions associated with remote work, along with tips to overcome them.

  • Part Two: Transitioning, Onboarding, and Training

    Part two shares practical yet effective strategies for transitioning to remote. This section also shares the best practices for onboarding and training remote teams.

  • Part Three: Management

    Identifying the type of remote teams to support the organization’s and the employees’ needs is essential before adopting a managerial strategy. And thus, part three helps readers distinguish between different remote teams. It also includes top tips for managing remote and hybrid teams.

  • Part Four: Employee Engagement and Wellbeing

    This section shares engagement strategies to keep workers happy and retain them. In addition, it highlights mental health risks associated with remote work factors and tips to avoid them.

  • Part Five: Becoming Boundaryless

    Part five, Becoming Boundaryless, includes the Boundaryless Landscape. The landscape maps the numerous applications that populate the online enterprise collaboration industry. It’s like an actual map that allows you to navigate the expansive landscape of applications based on their purpose, i.e., the unique function they hold in the remote employment life cycle.
    In addition, part five also shares a list of boundaryless companies Turing admires. Lastly, the section overviews Turing’s boundaryless work values.

  • Part Six: The Remote Work Glossary

    Part six is a dictionary (of sorts) of the various remote work terms Turing, and most remote companies use.

Where can you find the complete Remote Work Guide?

You can access the complete guide here. 

Turing.com Remote Work Guide launch

Turing.com Remote Work Guide Launch

In sum

With this guide, Turing hopes to help companies build a framework of pragmatic solutions, remote work tools and resources, and best practices to leverage and scale their remote teams.

If you’re an engineering leader or manager looking to build an engineering team in the cloud, try Turing. Turing is an Intelligent Talent Cloud that can help you spin up your engineering dream in just 3-5 days. 

Want to hire pre-vetted, Silicon Valley-caliber developers at unmatched rates? Visit the Hire page now!

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By ● Jun 20, 2022
Turing contributes to American India foundation
For Employers

Turing Contributes to American India Foundation to Help Underprivileged Communities

Turing contributed to American India Foundation, a non-profit organization, to help uplift some of the most impoverished communities in India.

Turing believes that talent is everywhere but understands that opportunities are not. And hence, the company is on a mission to unleash the world’s untapped human potential and level the playing field for talented individuals across the globe. 

Turing understands the magnitude of knowledge, will, and collaboration needed to realize this mission. And so, Turing plans on engaging with different grassroots NGOs and leading philanthropists to bring about change in underprivileged communities and create a sustainable impact.

To honor the mission, Turing recently donated to the American India Foundation (AIF), a nonprofit American organization working in India, to help uplift some of the country’s most impoverished communities.

Why AIF?

The American India Foundation is one of India’s largest secular, non-partisan organizations supporting development work. The Foundation is committed to supporting social and economic change in India and building a bridge between India and the US through high-impact interventions in education, livelihoods, public health, and leadership development. To help India free itself from poverty, AIF has impacted 8.4 million lives across 26 states of India. 

The Foundation works in three main areas. 

Education 

AIF’s education programs ensure that the country’s marginalized groups have access to high-quality educational opportunities and gain critical life skills alongside 21st-century knowledge to prepare them for success in today’s globalized world.

Livelihoods

AIF works closely with the private and public sectors to create inclusive and sustainable livelihoods for communities across India to equalize the informal and formal sectors and provide equitable opportunities for all citizens.

Public health

The Foundation promotes maternal and child health by combining increased access to healthcare, improved service delivery, innovative care-based approaches, and capacity-building for healthcare professionals in highly remote areas.

Also, read International Women’s Day: Turing Contributes to Three Non-Profit Organizations

The way ahead

 AIF envisions building an India where all people have access to affordable education, health care, and livelihood opportunities. Turing is proud to partner with the American India Foundation and contribute to materializing its vision. 

The donations are Turing’s humble step toward improving the lives of India’s underprivileged women, children, and youth. Turing aims to partner with more such organizations to achieve maximum impact and reach in the future. 

Tell us the skills you need and we'll find the best developer for you in days, not weeks.

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By ● Jun 7, 2022
Boost Remote Work Performance
Turing Community

Turing Community Announces the Power of Productivity Workshop

The Power of Productivity workshop will help developers resolve remote work challenges, acquire new soft skills, and build a solid communication network while..

Remote work is no longer the future of employment; it is the present. Several studies have shown that employees who work from home are more productive and engaged, have a better work-life balance, and help employers save infrastructure costs.

But while remote work sounds empowering, it comes with certain challenges. And so, remote workers need to find ways to stay productive and stoke motivation.

Keeping in mind these challenges, the Turing Community is organizing an exclusive workshop under its Soft Skills Program for Senior Developers. This workshop will cover the best productivity tips and tools for aiding remote work. 

What will the workshop include?

Writing good code is the cornerstone of every developer’s technical acumen. However, engaging in meaningful interactions and building solid professional ties with coworkers are also equally important.

And so, the Power of Productivity workshop will help developers acquire new soft skills, boost their remote work performance, and build a solid communication network while working remotely. 

The workshop will give you answers to the following questions: 

  • How to face the main remote work challenges?
  • How to identify and eliminate action faking? 
  • How to plan your day to get more things done?
  • How to use modern tools to boost your productivity and the quality of your deliverables?

Who will host the workshop? 

Mudit Yadav will lead the Power of Productivity workshop. Mudit is a Chartered Accountant, CFA Charterholder, and ex-strategy consultant.

Mudit Yadav is a globally recognized success coach, awarded the title of ‘Millennial Coach of the year’ at the World HRD Congress 2019. He has spoken to more than 415,000 people from over 48 countries and at multiple TEDx events. 

In addition, Mudit has authored a book: Be Invincible – The mindset, skills, and habits for sustainable growth and success. 

Who should attend this workshop? 

All remote developers are welcome to join this workshop. 

How can you attend the workshop?

The workshop will take place on the following date and time:

Thursday, May 19 

07:00 AM (PDT)

Here’s how you can join the session:

  1. Visit the Turing Community page and register for the event. 
  2. Attend the event on May 19, 2022. 
  3. That’s it!

The registration process is entirely free and open to developers. 

To sum up

The Turing Community offers software developers and engineers the opportunity to learn new skills and grow in their careers. 

The upcoming productivity workshop will motivate and enable software developers and engineers to improve their remote work performance. So if you’re a software developer looking to supercharge your career, register for the workshop today!

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

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By ● May 17, 2022
Turing.com Community partnership
Turing Community

Turing Community Announces Its Partnership with Co.Lab

Turing announced the launch of its Developer Community earlier this year with a mission to unleash the world’s untapped potential. Since then, the community has grown at an incredible pace, with tens and thousands of developers on board. The community helps developers improve their tech skills, unwind their potential, and overcome language barriers. But that’s… View Article

Turing announced the launch of its Developer Community earlier this year with a mission to unleash the world’s untapped potential. Since then, the community has grown at an incredible pace, with tens and thousands of developers on board. The community helps developers improve their tech skills, unwind their potential, and overcome language barriers. But that’s not it! 

Today, the Turing Community is excited to announce the TuringXCo.Lab partnership. The partnership aims to support and upskill developers and deliver hands-on learning experiences to build product ideas in collaboration with other team members. Over the years, Co.Lab has trained over 265 students and placed developers at companies such as Google, Apple, Amazon, Microsoft, and more.

With this partnership, women software developers will get the chance to work with product designers and product managers to ship real products within a period of eight weeks. What’s more, the association will enable developers to build software products from scratch alongside a team of mentors.

Turing.com community WomeninTechWeek

TuringXCo.Lab Partnership

The partnership cohort has been launched alongside Turing’s WomenInTechWeek event. If you’re a software developer, please note that participating in the WomenInTechWeek event will increase your chances of getting selected for the cohort. You can sign up for WomenInTechWeek.

“We’re excited to be working with Turing because our missions are aligned at the deepest level of impact. We look forward to unlocking opportunities for engineers around the world together and helping them get to the next level,” said Helen Huang, co-founder of Co.Lab.

Program structure

Eight weeks of boot camp: Co.Lab will support up to 20 developers throughout eight weeks of boot camp and help them polish their skills.  

Team matching: Co.Lab will also match students in cross-functional teams of four, i.e., one PM, one designer, and two developers.

Learning by doing: The students will spend most of their time building an actual product with their team members.

In other words, Co.Lab will ensure a seamless onboarding experience for developers.

Things to look up for in the program

  • Real-life project-based upskilling for developers
  • Feedback on their performance during and after the program
  • Work on assessments and collaborate with delegated clients 
  • Each team gets an industry leader who will guide them through the product development process and ensure they meet their milestones.
  • Build projects from scratch and be a part of the entire development process
  • Network with new people and build things that can make a real impact in the world

Here’s what Turing’s Senior Director of Community, Uma Subramanian, said about the partnership: “We are designing our community to empower developers. We look forward to seeing more developers from around the world scale to new heights. With amazing partners like Co.Lab, we are excited to find new ways to support them as they build their dream careers while driving meaningful change in the world.” 

To sum up 

Turing is thrilled about this partnership. The Turing Community sees this program as a catalyst that helps developers with job preparation, upskilling, reskilling, personal development, and mentoring, among other perks. Want to know more about Co.Lab? Click on the link to check out the products that Co.Lab Alumnus shipped.

Join a network of the world's best developers and get long-term remote software jobs with better compensation and career growth.

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By ● Mar 21, 2022