Watch the Webinar

Can enterprises tame the dragon? Maybe. They need to govern the full AI/ML lifecycle—data and feature engineering, model development, and model operations—with special attention to the operations stage. They need to carefully monitor, control, and reuse models during the entire lifecycle.

Eckerson Group analysts study this problem. Our consultants live it. Join both for a free-wheeling discussion of the tradeoffs and pitfalls of AI/ML governance.

You will hear:

• What AI/ML governance means, and why enterprises need it

• How governance applies to key stages of the AI/ML lifecycle

• Guiding principles, best practices, and tradeoffs of AI/ML governance

• Case studies and what they teach us

• How AI/ML governance is likely to evolve