Subscribe to enjoy similar stories. Building the right organizational strategy by getting all teams together and modifying the role of human employees is the biggest roadblock to adoption of artificial intelligence by businesses, Harrick Vin, global chief technology officer at Tata Consultancy Services (TCS), said in an exclusive interview with Mint.
Speaking about the core challenges in the enterprise adoption of AI and generative AI technologies, Vin said, “Organizations must design their AI strategy to balance value, complexity and risk. To do this, they need to get multiple teams together, which makes it a big challenge for the company itself, since each team will have different requisites and philosophies.
But, for a cohesive AI strategy to become AI-mature, creating a common take is crucial," he said. “This is why the adoption of AI is not up to expectations.
A relatively small percentage of use cases are actually going into production, because they’re failing on not being engineered to a company’s needs, or a company not knowing how to drive the organizational changes to take AI deployment from experiment to value-driven production." To help improve this, Vin said that while TCS, India’s largest software services company by market cap and revenue, continued to incrementally raise its research and development (R&D) expenditure, there is unlikely to be any exponential jump in this figure. In FY24, TCS spent ₹2,751 crore on its R&D initiatives—about 1.2% of its ₹2.41 trillion annual net revenue.
“We’ve stayed around the 1.2% figure for a while, keeping our research expenditure consistent. It is difficult to project any change for the future—right now, the magnitude of our investments is not limited by any arbitrary
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