AI and GenAI
Building the AI enterprise: Why operating models, not models, drive value
Scaling AI takes value someone signs for, governance designed before autonomy and work redesigned around meaningful human oversight
From reactive operations to autonomous mainframes
Mainframe autonomy will depend on trusted automation, stronger observability and clear boundaries for when AI can act without human approval
Beyond modernization: Designing the intelligent enterprise core
Intelligent hybrid architecture places workloads, data and AI according to business needs, combining mainframe resilience with cloud agility and embedded intelligence
Reimagining the mainframe as the intelligent enterprise core
AI is expanding the mainframe into a real-time decision platform that combines trusted enterprise data, business logic and embedded intelligence
Ahead of AWS re:Invent, Prabhakar Appana explores how enterprises can scale Agentic AI through process redesign, trusted operating models and measurable business outcomes
The AI velocity equation: Balancing speed, sovereignty and enterprise advantage
At AI Infra Summit 2026, HCLTech’s C Vijayakumar and Dell Technologies’ John Roese explored why enterprise AI needs hybrid infrastructure, trusted processes and redesigned processes to scale
Beyond the seat: Governing the economics of agentic work
As AI agents take on more enterprise work, organizations need new ways to govern access, execution, cost and value across platforms
The future of cyber resilience: Policy-governed autonomy at machine speed
As AI-enabled attacks accelerate, enterprises must combine predictive intelligence and governed automation with human accountability to sustain critical services
Voice biometrics can reduce authentication friction, strengthen fraud detection and help contact centers respond to AI-enabled voice threats
The next risk frontier: Trust, security and leadership in the age of AI
AI is accelerating the speed and scale of cyber risk, pushing security leaders to rethink identity, governance, resilience and the balance between automation and human oversight
The next AI security challenge: Protecting AI capabilities
AI capabilities are becoming valuable enterprise assets, creating a new security challenge: Protecting what AI systems can reason, infer and execute
Asset factories: Building simulation-ready worlds for Physical AI
Asset factories turn descriptions and design files into governed, simulation-ready worlds with the physics, variation and task signals robots need to learn
