Episode 100 marks an important milestone for Agentic AI: The Future of Intelligent Systems. But rather than look back, this episode looks ahead. AI is moving beyond models, copilots and individual agents. As enterprises deploy hundreds or eventually thousands…
100 episodes. One evolving question: what does the future of intelligent systems really look like? When I started Agentic AI: The Future of Intelligent Systems, the conversation around AI was very different. We were focused on models, prompts and copilots.…
Episode 100 marks an important milestone for Agentic AI: The Future of Intelligent Systems . But rather than look back, this episode looks ahead. AI is moving beyond models, copilots and individual agents. As enterprises deploy hundreds or eventually…
The current token economics model of AI is not designed for enterprise scale. Every time AI reasons, the meter runs: more prompts, more context, more agent steps, more tokens and more cost. That makes sense when the problem is novel, unknown or exceptional.…
AI leadership is not about chasing the next model. It is about building enterprise intelligence that survives the next model. A new AI model is released. It is smarter, faster and cheaper. Does your strategy change? AGI is “near.” Does your strategy change…
The internet taught companies to design information for humans. AI may force companies to redesign information for machines. For decades, the content pipeline was simple. A company created information. A human found it, read it, interpreted it and acted on…
Most organizations today have an AI strategy. They have copilots, AI councils, experimentation programs, model evaluations, agents and growing portfolios of AI use cases. Leadership teams are approving investments and asking every function to explore how AI…
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…