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Explainable AI: Insights from Arthur’s Adam Wenchel

[ad_1] enhances the performance of AI systems across various metrics like accuracy, explainability and fairness. In this episode of the NVIDIA AI Podcast, recorded live at GTC 2024, host Noah Kravitz sits down with Adam Wenchel, cofounder and CEO of Arthur, to discuss the challenges and opportunities of deploying generative AI. Their conversation spans a range of topics, including AI bias, the observability of AI systems and the practical implications of AI in business. For more on Arthur, visit

Time Stamps:

  • 00:11: Introduction and background on Adam Wenchel and
  • 01:31: Discussion on the mission and services of Arthur.
  • 02:31: Real-world use cases of LLMs and generative AI in enterprises.
  • 06:22: Challenges in deploying AI systems internally within companies.
  • 08:23: The process of adapting AI models for specific business needs.
  • 09:26: Exploring AI observability and the importance of real-time monitoring.
  • 11:36: Addressing bias in AI systems and its implications.
  • 15:21: Wenchel’s journey from cybersecurity to AI and founding Arthur.
  • 20:38: Cybersecurity concerns with generative AI and large language models.
  • 21:37: Future of work and AI’s role in enhancing job performance.
  • 24:27: Future directions for Arthur and ongoing projects.

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