AI and GenAI
Accelerating the healthcare AI frontier: From discovery to patient care
Learn how HCLTech and Google Cloud are transforming healthcare with Agentic AI, connecting insights to action, streamlining clinical workflows and enabling more predictive, personalized patient care
Building a safer agentic web: NandaIndex and the HCLTech-MIT Media Lab collaboration
Research from HCLTech and MIT Media Lab explores how NandaIndex supports agent discovery and why building a safer agentic web requires safeguards beyond individual AI agents
Cyber resiliency in the AI era: Building continuous readiness
AI-assisted analysis, automation and continuous validation help enterprises identify emerging risks, update recovery plans and maintain readiness as their environments change
MedTech leaders are exploring how Agentic AI can reduce administrative burden, reshape quality workflows and give teams more capacity to focus on risk prevention and patient outcomes
The economics of scaling Agentic AI: Why tokenomics matters
As Agentic AI moves into complex enterprise workflows, leaders need to understand what each outcome costs and whether that cost holds up at scale
AI-based predictive maintenance: Getting more value from utility assets
AI is giving utilities a more precise way to understand asset health, prioritize maintenance and intervene before critical equipment fails
The autonomous utility enterprise 2030: RISE with SAP, Joule and Agentic AI
Utilities are moving toward a more connected operating model where trusted data, Agentic AI and integrated workflows turn insight into coordinated next business action across the enterprise
GenAI for utility field workers: Making knowledge available when it matters
GenAI can help utility field teams access technical information faster, transfer expertise and reduce manual work while maintaining the security and oversight essential to critical infrastructure
When AI hits the wall, infrastructure is often the constraint
AI investment is accelerating as enterprises confront power, cooling, supply chain and network constraints that can determine how quickly AI infrastructure scales
Reimagining asset and grid management with AI and Agentic AI
Connecting asset intelligence with real-time grid operations can help utilities anticipate problems and act on them, provided autonomy advances at a pace the grid can safely support
Enterprise technology must now support analytics, real-time insight and AI while organizations meet stronger requirements for security, governance, resilience and sovereignty
The future utility enterprise: Where AI, sustainability and resilience converge
AI, sustainability and resilience are converging to reshape utility planning, grid operations and investment decisions
