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Artifical Intelligence
In a changing industrial environment where artificial intelligence is blurring the lines between engineering and information technology, Tata Technologies is adopting a "domain-led" strategy to drive growth, according to its CTO Sriram Lakshminarayanan. In view of the changes, the global product engineering and digital services firm is prioritising its service portfolio while maintaining its core strengths in engineering research and digital enterprise solutions, he told PTI in an interaction. Lakshminarayanan noted that major technological shifts keep happening over time, such as the cloud and blockchain, which had an impact on industries. "Now, there is a new wave that is coming, AI, (which is now) at the heart and front and centre of anything that we do. Specific to an automotive or industrial setting, we always looked at it in terms of a siloed approach of engineering, which looked different. IT is looked at differently," he said. He further said, "What we are seeing now is tha
The government has completed consultations with the industry on the proposed mandatory labelling of AI-generated content, and the related rules are set to be issued shortly, IT Secretary S Krishnan has said. Krishnan told PTI in an interview that the industry has been "fairly responsible", understands the logic behind labelling of AI content and that, as such, there has not been serious pushback against it. The primary feedback from the industry is around wanting clarity on the degree of modification to make clear distinctions between substantive, material changes through AI, and routine technical enhancements. "Based on the inputs we have received, we are just consulting the other ministries within government, saying that these are the changes which have been suggested... so which changes we accept, which changes we make and what tweaks we make... that portion is on right now, and I think we should come out with the new rules very shortly," Krishnan said. About the feedback and ..
The global technology landscape is set to undergo a decisive shift by 2026, moving from isolated experiments to the era of Agentic AI, where networks of autonomous agents manage complex business workflows, according to Wipro Chief Technology Officer Sandhya Arun. While 2025 was a year of foundational shifts and the meaningful adoption of Generative AI, the focus in 2026 will shift to AI systems operating at scale, embedded within critical business operations. "Enterprises are moving from isolated agentic AI experiments to pragmatic, enterprise-wide strategies focused on measurable business outcomes," Arun said, noting that by 2026, networks of collaborating AI agents are expected to manage complex workflows across diverse functions, including IT, HR, finance, marketing, and supply chains. A key aspect of this transition is the fundamental change in the human workforce's relationship with technology. As AI gains autonomy, the human role will evolve from execution to orchestration. "