From Algorithms to Enterprise Risk: How AI Is Reshaping Procurement & Third-Party Oversight cover art

From Algorithms to Enterprise Risk: How AI Is Reshaping Procurement & Third-Party Oversight

From Algorithms to Enterprise Risk: How AI Is Reshaping Procurement & Third-Party Oversight

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In this landmark episode of The Third Party Risk Institute Podcast – The Executive Edge, we sit down with Nathan Spielberg, Co-Founder and Chief Technology Officer of Tamarin AI, for an in-depth and highly practical conversation on how artificial intelligence is truly built, trained, and deployed in enterprise procurement and third-party risk environments.

With a PhD from Stanford University, a Master’s in Mechanical Engineering and Machine Learning, and an undergraduate degree from MIT, Nathan brings rare technical depth combined with real-world enterprise application experience. His work spans machine learning, autonomous systems, reinforcement learning, and AI-driven procurement intelligence.

This episode goes far beyond surface-level AI discussions. Together, we unpack:

  • How AI models are actually built
  • Why data quality determines everything
  • How algorithms, training, and evaluation really work
  • Where the biggest hidden enterprise risks live
  • Why “AI inside your organization” does NOT automatically mean it is secure

We also explore how AI is reshaping procurement decision-making, where organizations are unknowingly exposed through fourth-party AI model dependencies, and why explainability and continuous validation are becoming regulatory and board-level concerns.

What We Cover in This Episode

• How AI models, algorithms, and data interact inside enterprise systems
• The real difference between supervised, unsupervised, and reinforcement learning
• Why most organizations underestimate AI risk inside their procurement and vendor platforms
• How training, fine-tuning, retrieval, and model evaluation actually work
• Why “garbage in, garbage out” is the single biggest AI failure point
• The hidden fourth-party risk created by outsourced AI models
• Why explainability remains one of the hardest unresolved challenges in AI
• How organizations should think about continuous AI testing and performance drift
• The growing importance of AI bills of materials and model transparency
• Key public AI risk intelligence sources every risk leader should monitor

This Episode Is Essential For:

• Chief Risk Officers (CROs) and Chief Information Officers (CIOs)
• Chief Procurement Officers and Strategic Sourcing Leaders
• Third-Party Risk and Vendor Risk Management Professionals
• Cybersecurity, Data Governance, and Model Risk Teams
• Compliance Leaders preparing for AI regulatory expectations
• Executives evaluating AI-enabled procurement and vendor platforms

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