Is your leadership team the biggest risk to your AI strategy? Most organizations are investing in AI. But if leadership understanding is not evolving as fast as the technology, strategy starts falling behind. That is the Leadership Adoption Gap. In the latest…
What if AI, and the data center behind it, had a voice? What would it say about the jobs we fear losing, the energy and water AI consumes, the infrastructure we keep building, and our relentless demand for more intelligence, more speed, and more compute? I…
What if AI, and the data center behind it, had a voice? What would it say about the jobs we fear losing? The energy and water it consumes? The infrastructure we keep building? And our relentless demand for more intelligence, more speed, and more compute? I…
On this channel you'll find: • Agentic AI strategies and architecture • Enterprise AI platforms and implementation • Green AI and sustainable software engineering • AI agents, MCP, A2A, and modern frameworks • Technology leadership and digital transformation…
Building a powerful AI model is one thing. Deploying that intelligence reliably inside enterprise business functions is something entirely different. The AI industry has made extraordinary progress in model capability. Models can reason across longer…
Building a powerful AI model is one thing. Making an enterprise depend on it is another. AI research is moving fast, but enterprise delivery is not keeping pace. A model can look exceptional in a benchmark and still be difficult to deploy reliably across real…
Agentic AI is becoming more capable, but the way we design it may be fundamentally inefficient. Today, the default assumption is simple: if AI can reason about a task, let it reason about that task every time. But what happens when the enterprise already…
Agentic AI is becoming more capable, but the way we design it may be fundamentally inefficient. Today, the default assumption is simple: if AI can reason about a task, let it reason about that task every time. But what happens when the enterprise already…
What if the most valuable output of AI is not an answer, but executable intelligence? Enterprises are rapidly putting AI into workflows, applications, agents, service desks, operations, customer journeys and decision processes. The assumption is usually…
The token economics model is not scalable. AI economics needs to change. Today, every time AI reasons, the meter runs. That is acceptable when the problem is new, uncertain or exceptional. But once the enterprise has already solved the problem, why should it…
Want to understand AI and start using it confidently? I’m making my complete 2.5-hour AI course available FREE for everyone on YouTube. This course is designed to help you understand AI without unnecessary complexity and, more importantly, learn how to use it…
Tere Sang Udaan is a soulful Hindi ballad that captures the essence of rising together — through love, hope, and every challenge life throws our way. These are my experiments on using AI to convert lyrics to audio. These are AI Generative Creatives. ai #songs…
Most enterprises do not need AI to think every time the business runs. Yet that is increasingly how we are designing enterprise AI. A large part of business execution may begin with discovery, ambiguity and reasoning. But once the right approach is understood…
AI Economics : Building and Scaling Intelligence. AI is getting cheaper, yet enterprise AI bills keep rising. Why? Because the price of intelligence and the economics of intelligence are not the same thing. In this short, I introduce AI Economics and the…
AI is getting cheaper, yet enterprise AI bills keep rising. The reason is simple: the price of intelligence and the economics of intelligence are not the same thing. In this short, I introduce the core idea behind AI Economics, explain the Token Meter…