

EP 471: Inside Multi-Agent AI - Rethinking Enterprise Decisions
63 snips Feb 27, 2025
Babak Hodjat, CTO of AI at Cognizant and key developer of Siri's natural language tech, dives into the fascinating world of multi-agent AI. He discusses how these systems can transform enterprise decision-making, boosting productivity while ensuring responsible oversight. The conversation reveals the challenges of integrating AI agents and the evolving human-device interaction. Hodjat presents insightful examples of agents enhancing customer engagement and streamlining internal processes, foreshadowing a business landscape where creativity thrives amidst AI-driven efficiency.
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Defining AI Agents
- An AI agent uses tools and decides autonomously how to use them.
- LLMs become agents when given tools and autonomy via external code.
Davos Buzz About Agents
- At Davos, CEOs are buzzing about AI agents, similar to the previous hype around generative AI.
- This highlights the growing interest and potential impact of agents in business.
Agent-Driven Code Improvement
- An agent with code execution tools can write and test code iteratively, improving its accuracy.
- This example demonstrates the practical advantages of agents over standalone LLMs.