How to effectively evaluate AI agents

Demos are easy, real-world reliability isn’t. Join Dataiku experts to uncover the five essential dimensions for evaluating AI agents and learn how to make them safe, scalable, and enterprise-ready.

Modernize your governance for agentic AI at scale (ft. BARC)

As AI agents take on bigger roles in enterprise operations, governance must evolve. Discover how to do so in practice with Kevin Petrie from BARC.

From chaos to control: how to govern AI agents

Without strong oversight, AI agent risks multiply fast. Learn how to evolve governance in the age of agents and scale with Dataiku, The Universal AI Platform™.

The MIT report’s 95% failure rate isn’t a verdict, it’s a roadmap

Meryem Arik, CEO of Doubleword, shows how leading enterprises turn GenAI pilots into production success through integration, customization, and iteration.

The modern AI architecture: the foundation for GenAI and AI-driven agents

With new models emerging weekly, the right architecture matters. See how the Dataiku LLM Mesh helps IT leaders stay agile, avoid lock-in, and scale GenAI.

AI agent sprawl: why you’ve lost track of your agents and how to regain visibility

Watch as we break down why AI agents slip past traditional inventory tools, how agent sprawl creates blind spots across your enterprise, and what a defensible agent inventory actually requires.

Uptime is a lie: why traditional observability fails for AI agents

The session covers advancements in data, compute, and intelligence layers over the past few decades, emphasizing the need for observability in AI systems to maintain accuracy and reliability.

From demo to defensible: governing GxP AI at scale with Good Machine Learning Practice (GMLP)

The session includes an overview of Dataiku's role in these fields, a deep dive into the GMLP solution, and a live demo.