ON-DEMAND

Vetting AI Models: From DIY to Enterprise

Overview

Your builders must deliver AI projects faster, but most pilots fail to reach production. Teams using open-source models hit security, legal, and compliance bottlenecks. By approval time, models are obsolete; momentum is dead.

Get a practical framework for vetting AI models. We’ll demonstrate what manual model curation looks like and how Anaconda AI Catalyst handles this at scale, followed by Q&A.

Key Takeaways:

  • Criteria for evaluating open-source models for enterprise deployment
  • Why DIY curation turns into a liability & what scalable solutions look like
  • Demo: How AI Catalyst automates model curation so developers can move fast and stay safe

Speakers:

Picture of Seth Clark
Seth Clark

VP of Product, AI, Anaconda

Picture of Jess Haberman
Jess Haberman

Director, Content Strategy, Anaconda

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