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Monday Morning Data Chat

#185 - Paco Nathan - AI Myths and Reality

Oct 22, 2024
Paco Nathan, a seasoned expert in machine learning and AI, shares his decades of experience from Stanford to entity resolution. He discusses the stark contrast between AI hype and reality, emphasizing the importance of distinguishing between the two. Nathan addresses money laundering tactics using shell corporations and critiques the misperceptions surrounding AI's capabilities. The conversation also touches on advanced AI techniques, corporate dynamics, and the need for transparency in technology, urging listeners to grasp the complexities of the field.
01:15:40

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Paco Nathan emphasizes the need to discern between hype and genuine advancements in AI to understand the technology's true impact.
  • The use of AI and graph analytics is revolutionizing the fight against financial crimes by enabling authorities to uncover complex illicit networks.

Deep dives

Paco's Journey into AI

Paco's involvement in the field of artificial intelligence dates back over four decades, starting with his studies at Stanford in the early 1980s. He initially worked with neural networks, even spending time at Bell Labs, but shifted to various applications after corporate reorganizations. Currently, he is at a company specializing in entity resolution with applications in high-stakes areas such as voter registration and cyber threat detection. This long history underlines the evolution and challenges faced in machine learning and AI development.

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