As AI moves into vehicles, appliances and industrial systems, the next challenge is scaling physical intelligence safely, reliably and in real-world conditions

Dr. Mansoor Samavatian,Technology and Delivery Partner HCLTech with Ulf Axelsson Lejon, VP of Digital Business Transformation, Husqvarna Group

As AI moves from centralized models to distributed intelligence, telecom networks are emerging as the critical infrastructure that connects creation, distribution and real-world application of AI

How Agentic AI reduces manual effort in mature ML workflows

A quick guide to deploying the ITOps Agent that helps teams streamline incident handling and follow best practices for faster, more effective issue resolution.

Join HCLTech and Microsoft for a one‑day, hands‑on Build A Thon where you’ll learn, build and showcase intelligent agents using Microsoft Copilot Studio.

Study for CIOs and technology leaders evaluating Agentic AI maturity, governance models, risks and strategic investment priorities.

The path to 6G is being shaped by three converging shifts: AI-native design, simulation-first development and tighter integration between silicon, software and autonomous operations

At Booth #3193 in Kuala Lumpur, HCLTech engaged equipment OEMs and chip companies on how AI-powered engineering is accelerating chip design and manufacturing across Southeast Asia.

HCLTech and OpenAI combine advanced AI models with enterprise-grade engineering to help organizations securely scale AI, modernize operations and unlock long-term business value.

As AI reshapes enterprise technology, it is rewriting cloud economics, shifting the C-suite’s focus from cutting cloud spend to turning it into measurable value and competitive advantage

At Pharma MES USA 2026, HCLTech showed how AI is redefining pharma manufacturing intelligence, from stabilizing MES foundations to building hybrid AI for compliant, trustworthy autonomous production