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379. Navigating AI Risks: The Role of Monitoring Systems in AI

379. Navigating AI Risks: The Role of Monitoring Systems in AI

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In this episode, host Michael Marchuk speaks with Alexis Gauba, co-founder of Raindrop.ai, about the importance of monitoring and governance in AI products. They discuss the challenges organizations face when implementing generative AI, the need for clear plans and guardrails, and how to manage AI agents effectively. Alexis shares insights on the diverse applications of AI, the issues they encounter, and the future trends in AI development, emphasizing the importance of best practices and monitoring systems to enhance user experiences.


Here’s what we talked with Alexis about:

  • -AI products need a clear plan for development and improvement.

  • -Consequences of poorly managed AI can be severe.

  • -Monitoring systems are essential to catch issues early.

  • -Understanding user interactions is key to AI success.

  • -AI should be tailored to specific use cases for effectiveness.

  • -Logging reasoning helps in understanding AI decision-making.

  • -Different AI applications face unique challenges.

  • -Domain-specific AI applications are on the rise.

  • -Best practices in AI development will become standard.

  • -Confidence in AI deployment will grow with robust monitoring.


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