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Gen AI adoption is largely pivoted on two main tracks: Gen AI for Business and Gen AI for IT. Gen AI for Business is focussed on industry and cross-industry value chains, the corresponding value streams, and how the day-to-day life of the personas involved will get transformed with Gen AI infusion. The Gen AI for IT track concentrates on bringing efficiencies in software development lifecycle (SDLC) and service management processes Our TCS AI.Cloud Microsoft Practice has created Industry Copilot offerings on Microsoft Cloud for key industries such as Financial Services, Manufacturing and Healthcare & Life Sciences, that we are taking to market with Microsoft. We have also created a Copilot for SDLC offering that goes beyond individual developer level productivity improvements to bring in enterprise level patterns and practices to significantly improve efficiencies at the team level. Identifying the right use cases for Generative AI journey of an Enterprise is a continuous process. We have created a Generative AI Playground offering on Azure for business to shortlist the high impact use cases. These offerings have been well received by our customers. We are seeing more and more Gen AI Proof of Concepts (PoCs) and Pilots moving to production, due to deployment of Responsible AI Principles. TCS has created a Responsible AI Framework offering that augments the capabilities of Azure OpenAI to provide the necessary guardrails for production deployment of Gen AI use cases. All these offerings have been made available on Microsoft Azure Marketplace TCS Copilot for Retail Banking on Microsoft Azure https://lnkd.in/gMpKHt4V TCS Copilot for Insurance on Microsoft Azure https://lnkd.in/g4-uVfXa TCS Copilot for Healthcare on Microsoft Azure https://lnkd.in/gWFvrfEh TCS Industry Copilots for Plant Operations on Microsoft Azure https://lnkd.in/gk6ZFd5U TCS Responsible AI Assessment for Generative AI https://lnkd.in/gS_VqCEx

AI >> LLMs AI is all the rage these days. Especially in Enteprise transformation, as companies grapple with how to deploy it for maximum gains and minimal disruption. Yet I know of many businesses that are still struggling to implement it in impactful ways. There is a clear lack of strategic frameworks to guide AI adoption. Far too many companies dabble in siloed AI projects without a comprehensive approach. That’s why TCS’ new white paper outlining an “AI-First Architecture for Enterprises” is so timely. The blog published this week during the 2024 #WEF provides a practical blueprint for the future - one anchored in AI. The four tier AI-First model moves AI from a peripheral technology to an enterprise backbone. Starting with core systems, then building the data and AI foundations, purpose-built applications and finally AI augmented interfaces. This facilitates AI adoption across the stack, targeting efficiencies, enhanced decision making and elevated customer experiences. The pace of change in AI is blistering and there is a lot of noise. Which is what makes this simple yet implementable strategic framework a great approach to building an AI-First organization. If you are a business leader considering implementing an AI-first architecture in your business, there are a few things to keep in mind: 1. Start with a clear vision: What are you hoping to achieve with AI? Once you know your goals, you can start to develop a plan for how to achieve them. 2. Focus on the data: AI is only as good as the data it is trained on. Make sure you have a high-quality data foundation in place before you start building your AI applications. 3. Get buy-in from your stakeholders: AI can be disruptive, so it is important to get buy-in from your key stakeholders before you start implementing it. I hope you find this helpful! If you have any questions, please feel free to leave a comment below. Link to the blog and downloadable pdf is in the comments. Kudos to TCS’s Siva Ganesan and Dr. Harrick Vin for leading the way. Tata Consultancy Services #ai #framework #transformation #enterpriseai

Gen AI adoption is largely pivoted on two main tracks: Gen AI for Business and Gen AI for IT. Gen AI for Business is focussed on industry and cross-industry value chains, the corresponding value streams, and how the day-to-day life of the personas involved will get transformed with Gen AI infusion. The Gen AI for IT track concentrates on bringing efficiencies in software development lifecycle (SDLC) and service management processes Our TCS AI.Cloud Microsoft Practice has created Industry Copilot offerings on Microsoft Cloud for key industries such as Financial Services, Manufacturing and Healthcare & Life Sciences, that we are taking to market with Microsoft. We have also created a Copilot for SDLC offering that goes beyond individual developer level productivity improvements to bring in enterprise level patterns and practices to significantly improve efficiencies at the team level. Identifying the right use cases for Generative AI journey of an Enterprise is a continuous process. We have created a Generative AI Playground offering on Azure for business to shortlist the high impact use cases. These offerings have been well received by our customers. We are seeing more and more Gen AI Proof of Concepts (PoCs) and Pilots moving to production, due to deployment of Responsible AI Principles. TCS has created a Responsible AI Framework offering that augments the capabilities of Azure OpenAI to provide the necessary guardrails for production deployment of Gen AI use cases. All these offerings have been made available on Microsoft Azure Marketplace TCS Copilot for Retail Banking on Microsoft Azure https://lnkd.in/gMpKHt4V TCS Copilot for Insurance on Microsoft Azure https://lnkd.in/g4-uVfXa TCS Copilot for Healthcare on Microsoft Azure https://lnkd.in/gWFvrfEh TCS Industry Copilots for Plant Operations on Microsoft Azure https://lnkd.in/gk6ZFd5U TCS Responsible AI Assessment for Generative AI https://lnkd.in/gS_VqCEx

Gen AI adoption is largely pivoted on two main tracks: Gen AI for Business and Gen AI for IT. Gen AI for Business is focussed on industry and cross-industry value chains, the corresponding value streams, and how the day-to-day life of the personas involved will get transformed with Gen AI infusion. The Gen AI for IT track concentrates on bringing efficiencies in software development lifecycle (SDLC) and service management processes Our TCS AI.Cloud Microsoft Practice has created Industry Copilot offerings on Microsoft Cloud for key industries such as Financial Services, Manufacturing and Healthcare & Life Sciences, that we are taking to market with Microsoft. We have also created a Copilot for SDLC offering that goes beyond individual developer level productivity improvements to bring in enterprise level patterns and practices to significantly improve efficiencies at the team level. Identifying the right use cases for Generative AI journey of an Enterprise is a continuous process. We have created a Generative AI Playground offering on Azure for business to shortlist the high impact use cases. These offerings have been well received by our customers. We are seeing more and more Gen AI Proof of Concepts (PoCs) and Pilots moving to production, due to deployment of Responsible AI Principles. TCS has created a Responsible AI Framework offering that augments the capabilities of Azure OpenAI to provide the necessary guardrails for production deployment of Gen AI use cases. All these offerings have been made available on Microsoft Azure Marketplace TCS Copilot for Retail Banking on Microsoft Azure https://lnkd.in/gMpKHt4V TCS Copilot for Insurance on Microsoft Azure https://lnkd.in/g4-uVfXa TCS Copilot for Healthcare on Microsoft Azure https://lnkd.in/gWFvrfEh TCS Industry Copilots for Plant Operations on Microsoft Azure https://lnkd.in/gk6ZFd5U TCS Responsible AI Assessment for Generative AI https://lnkd.in/gS_VqCEx