considering discussing generative AI and making enterprise-wide changes on them. This comes on the back of more than half the respondents stating that GenAI’s impact on their business model will be greater than that of previous disruptive technologies like the internet and smartphones. Also Read: AI asymmetry: Can our IT service firms close their gap with GenAI rivals? At least 54% of senior executives who have responded believe that their company is a long way from fully leveraging Al, with the primary barrier being the quality and availability of enterprise data.
Even attempts to migrate to an impactful AI environment are little. Cloud, considered a foundational pillar for AI has not seen much traction from the top management of those companies that have responded either. Only 29% of the companies, or about 369 of them in absolute numbers that were part of the study, are cleaning up their data and migrating to the cloud.
The response by industry leaders follows an optimistic cloud prospect by K. Krithivasan, chief executive of Mumbai-based TCS. “Today, clients are seeing cloud as a strategy for business transformation and growth.
The shift to cloud-native products and platforms is being fast-tracked, to achieve increased collaboration, security, scalability and efficiency," said Krithivasan in a letter addressed to stakeholders in the annual report for the financial year ended March 2024. On challenges companies found while integrating AI into their businesses included inadequate IT infrastructure as many of the companies that took part in the TCS study found that their legacy hardware, software and data ecosystems were not capable of handling complex AI algorithms. "The IT infrastructure and applications that some
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