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Chain of Thought

Do I Need Agents? | Gartner’s Haritha Khandabattu

Feb 19, 2025
Haritha Khandabattu, Senior Director Analyst for AI at Gartner, dives into the fascinating world of AI agents. She untangles the hype around these technologies and offers real-world examples of successful implementations. Listen as she discusses critical considerations for engineering leaders, the challenge of building versus buying AI solutions, and the necessity of collaboration between data and software teams. Haritha also tackles ethical concerns and provides practical tips to enhance productivity while integrating AI into organizations.
45:47

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Quick takeaways

  • Engineering leaders must carefully assess their organization's specific needs and potential use cases before implementing AI agents to ensure successful outcomes.
  • Addressing ethical challenges and governance mechanisms is crucial for responsible AI implementation, particularly in managing risks associated with multi-agent systems.

Deep dives

Understanding AI Agents

AI agents are increasingly recognized for their potential in automating tasks across various sectors, including healthcare and e-commerce. However, the current reality indicates a significant gap between the enthusiasm surrounding AI agents and their practical capabilities, mainly due to their reliance on high-quality data and ethical considerations. For instance, while advancements in autonomous vehicles are notable, challenges persist in their real-world applications, demonstrating that reliable AI requires sound reasoning and a connection to reality. As AI technology evolves, addressing fundamental issues like understanding human intentions is crucial to move from aspirational goals to functional AI agents.

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