Every technology wave expands before it refines. Agentic AI will be no different. Cloud expanded before it matured. Microservices scaled before governance caught up. Data lakes grew before lifecycle control became necessary. Agentic AI is now in that…
Excited to see Accenture named a Leader in The Forrester Wave™: IT Sustainability Services, Q1 2026. Great to contribute to this evaluation and recognition, especially highlighting our external collaboration with the Green Software Foundation and the…
India’s AI Impact Summit 2026 marks an important moment in the country’s AI journey. As India accelerates its AI ambitions across sectors and scale, a structural question becomes increasingly important: How will India scale AI without proportionally scaling…
As India’s AI Impact Summit 2026 reflects the scale of ambition shaping our AI journey, it also presents an opportunity to consider a structural question: How do we scale AI without proportionally scaling cost, carbon, and complexity? In the latest edition of…
AI now works for AI. And that changes the equation. Look closely at what’s happening: Build → Review → Deploy → Access. You prompt AI to write code. AI reviews it. AI approves it. AI deploys it. Then personal AI agents consume the output and present it back…
If you’re overseeing an Agentic AI roadmap, these ten principles can save cost, carbon, and complexity. In the race to deploy autonomous agents, many organizations are quietly accumulating Agentic Debt — systems that are over-orchestrated, expensive to run,…
Agentic AI systems are no longer short-lived, request–response interactions. They are becoming long-running runtimes that reason, invoke tools, maintain state, and operate continuously while interacting with real environments. This shift fundamentally changes…
Agentic AI systems are no longer short-lived, request–response interactions. They are becoming long-running runtimes that reason, invoke tools, maintain state, and operate continuously while interacting with real environments. This shift fundamentally changes…
Agentic systems are increasingly being designed as long-running runtime systems. They reason, invoke tools, maintain state, and continue operating across time while interacting with real environments. Once AI systems behave this way, design priorities change.…
As personal AI assistants move beyond request–response interaction and begin operating across inboxes, calendars, files, and external services—often through familiar chat interfaces—they naturally start to form networks of activity. One agent triggers…
Two years ago, I launched a book for kids called Little AI Explorer. It was an attempt to explain Artificial Intelligence not through code or complexity, but through stories, curiosity, and ethics. The idea was simple. If AI is going to be part of a child’s…
Stop waiting for the “AI replacement.” It’s not coming—at least, not in the way most people think. I’ve been part of the technology transformation story since 2000. I started with mainframe modernization—screen-scraping IBM COBOL applications running on CICS…
As agentic systems move from demos into continuous operation, a different set of problems begins to surface — not around capability, but around behavior. This episode reflects on what happens when autonomous systems run longer than expected: planning loops…
As agentic systems move from demos into continuous operation, a different set of problems begins to surface — not around capability, but around behavior. This episode reflects on what happens when autonomous systems run longer than expected: planning loops…
Invited as a judge for the Build and Grow AI Hackathon 2.0 by GDG Cloud Mumbai and GDG Cloud Pune — fifteen teams, real use cases, and a format that turns ideas into working solutions in a weekend.
AI is not eliminating software engineering. It is forcing a reset of what it means to become a software engineer. The story being sold today is simple: AI will replace developers. That message fits neatly with the hundreds of billions being poured into…
Green AI is typically framed around carbon reduction and energy efficiency. That framing is necessary — but incomplete. Most initiatives start with measuring emissions, improving energy efficiency, or selecting cleaner infrastructure. Those are foundational.…
Excited to see the Green Software Foundation’s 2025 Annual Report and the momentum behind this work. I’m fortunate to lead multiple initiatives across the GSF — including the Standards Working Group, SCI for AI, and the Impact Framework — and it’s been…
What happens when an AI agent is placed next to real human decision-making? In this episode of Agentic AI: The Future of Intelligent Systems, the focus shifts from models and prompts to responsibility and restraint. Built from real experience creating an AI…
What happens when an AI agent is placed next to real human decision-making? In this episode of Agentic AI: The Future of Intelligent Systems , the focus shifts from models and prompts to responsibility and restraint. Built from real experience creating an AI…
In this edition of Technology Bytes, the focus is on a real-world experience of building an AI system that sits alongside human decision-making rather than attempting to replace it. As AI becomes part of everyday life, the questions people bring to it have…
Code generation is easy. Building a production-grade AI system is not. The latest Technology Bytes shares a real-world experience from building an AI Life Coach — what breaks when LLMs move from demos to production, why system thinking matters more than…
If AI is making feeds “smarter,” why do YouTube and LinkedIn feel more repetitive than ever? The real question is simpler: Are you actually learning? Or just consuming? The issue isn’t volume. It’s value. There’s more content than ever, yet fewer moments of…
2025 was the year AI accelerated everything — code, decisions, delivery, and expectations. But acceleration came with lessons. In this episode, we reflect on what actually changed when generative and agentic AI entered real production systems — not demos, not…
2025 was the year AI accelerated everything — code, decisions, delivery, and expectations. But acceleration came with lessons. In this episode, we reflect on what actually changed when generative and agentic AI entered real production systems — not demos, not…