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Today’s AI agents operate across disparate systems, but what happens when billions of agents can freely discover, trust, communicate and transact with one another, without needing to know in advance that the others exist?In this episode, MIT professor and NANDA founder Ramesh Raskar explores the rise of the open agentic web, a decentralized ecosystem he compares to the emergence of the World Wide Web in the 1990s. He unpacks why today’s internet infrastructure isn’t enough for a world of autonomous agents and what new layers of identity, authentication, reputation, security and commerce will be needed to make that future possible.From agents that can communicate bidirectionally to marketplaces where intelligence itself can be exchanged, discover how an open agentic web could connect disparate agentic systems and create an entirely new digital economy.
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États-Unis
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RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de The Agent Effect.
AUTRES ÉPISODES DANS CE PODCAST
In part two, Adam Cheyer and Babak Hodjat break down how businesses can begin their agentic transformation—from collapsing silos to designing systems that think, act and scale with intelligence.
Lisa Bechtold, Zurich Insurance’s Global Head of AI Governance, and Amir Banifatemi, Cognizant’s Chief Responsible AI Officer, share what it takes to scale agentic AI safely and why strong governance is essential for delivering ROI and long-term impact.
Cognizant CEO Ravi Kumar S unpacks how AI agents are changing the enterprise equation – from expanding capacity through agentic capital to building entirely new operating models. He shares how Cognizant is applying agents internally, why context is critical to scaling them safely, and what leaders …
Krishna Gade, Founder and CEO of Fiddler, explores how businesses can build trust in agentic AI – from investing in responsible practices to implementing observability tools that ensure agents behave reliably at scale.
Adam Cheyer and Babak Hodjat reflect on the evolution of AI agents since Siri—and what makes multi-agent systems so powerful in today’s enterprise landscape.
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