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5 Key Considerations for Building an AI Implementation Strategy
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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.
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By , ● Sep 13, 2023
Assessing Your Application Portfolio
Application Engineering Services ● Custom Engineering ● For Employers ● Tech ● Tips, Tools, and Trends ● Turing 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 ● Custom Engineering ● For Employers ● Tech ● Tips, Tools, and Trends ● Turing 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 Migration Process WP
Cloud Services ● Custom Engineering ● For Employers ● Tech ● Tips, Tools, and Trends ● Turing 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 ● Custom Engineering ● For Employers ● Tech ● Tips, Tools, and Trends ● Turing 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
Building New AI Solutions for Intelligent Enterprises and Developers
AI Services ● Custom Engineering ● For Employers ● Tech ● Tips, Tools, and Trends ● Turing 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
Turing Services Offer AI Services, Cloud Services, & More
For Employers ● Turing Services

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. 

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By ● Mar 27, 2023
Turing.com launches Remote Work Guide
For Employers ● Turing News ● Turing Services

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. 

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By ● Jun 20, 2022