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The MoU aims to advance SCATS analytics, enabling users to interact with traffic and congestion data through natural language queries.
Physical AI can help enterprises improve productivity, resilience and operational performance, but success depends on combining engineering, OT, IT and Responsible AI at scale

Meet HCLTech at Oracle Health and Life Sciences Summit 2026, September 22-24, Booth 38, Orlando, Florida, for clinical AI and EHR modernization. Register now!
Join HCLTech and Microsoft in Sydney to explore how AI-powered contact centres are transforming customer experience, operational efficiency and service innovation.

Employee engagement isn’t created by surveys alone. Discover how reducing workplace friction and improving everyday employee experience can create the conditions for better engagement.

As agents, digital twins and Physical AI take on greater operational responsibility, manufacturers need governance that aligns autonomy with risk, accountability and trust

Traditional NOCs can’t scale amid rising complexity and talent shortages. Autonomous network operations use AI, telemetry and governed automation to reduce MTTR, costs and toil

As manufacturers move AI from pilots into product development and production, competitive advantage will depend on connecting industrial data, digital twins, knowledge graphs and governed Physical AI

Meet HCLTech at UiPath Fusion 2026 in Las Vegas from September 22-25 to explore autonomous operations, intelligent automation and AI-driven workflows that transform enterprise operations.
Discover how Protective DNS strengthens Zero Trust by securing every DNS query and stopping attacks at their earliest stage.

As engineering and manufacturing organizations move beyond AI experimentation, connected data, digital threads and contextual intelligence will be critical to delivering measurable business value