TCS trained 350,000 employees in generative AI skills

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TCS trained 350,000 employees in generative AI skills
The company has achieved the Amazon Web Services (AWS) Generative AI (GenAI) Competency as a launch partner. 

TCS, a global leader in IT services, consulting, and business solutions, has trained of 350,000 employees in foundational GenAI skills positions it to establish a leading AI-ready workforce globally. This vast talent pool underscores TCS’s readiness to meet the demands of the evolving digital landscape.

TCS workforce stood at 603,305 as of December 31st with attrition at 13.3% for the last twelve months. The company’s workforce stood at 608,985 as of September 30, reported a dip of 6333 employees from the last quarter.

The company has achieved the Amazon Web Services (AWS) Generative AI (Gen AI) Competency as a launch partner. 

The competency is a recognition of TCS for its role in helping customers and the AWS Partner Network (APN) in the progression of services, tools, and infrastructure pivotal for the implementation of GenAI technologies such as Amazon Bedrock, Amazon Sagemaker Jumpstart, Amazon Q and Amazon CodeWhisperer.

In 2023, TCS became the first technology company to create a dedicated business unit for AI and cloud. 

Krishna Mohan, Vice President and Deputy Head, AI.Cloud Unit, TCS, said “Achieving AWS generative competency as a launch partner is a result of TCS’ industry-leading and forward-looking investments along with our deep collaboration with AWS.”

“Our early and holistic focus in bringing generative AI capabilities at scale for our customers including AWS generative AI practice reflects TCS’ commitment towards enabling businesses with next-generation technologies for driving enterprise agility, innovation, and growth”, Krishna Mohan added.

TCS offers a comprehensive portfolio of GenAI services and solutions including consulting and advisory, solution design and prototyping, large language model training and fine-tuning, guardrail agent design, project delivery, and ongoing maintenance as well as a responsible AI framework to help enterprises navigate the ethical and safe uses of AI.

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