Session

Why ML Projects Fail and How to Ensure Their Success

Executive Summit

Recent Gartner research pegged the failure rate of data and AI projects at 60-85%. There are many reasons why AI projects fail, but the question remains: What can leaders do to increase the success rate of ML/AI projects? This panel discussion will explore the principles, processes and practices that allow teams to get more models, with greater impact, launched and into production more quickly and consistently.

Session Speakers

VP of Data Science
Ocelot Consulting
Photo: Jürgen Weichenberger
Data Science Senior Principal & Global AI Lead, Resources
Accenture
Senior Director, Digital Transformation - Head AI Products
Walmart Global Tech

Oops, please Login or Create Account to view On Demand

The good news is that it's both easy and free to register and get access.

Account Login

Create Account

Password
Newsletter Consent(Required)
Terms and Privacy Consent
Hidden
This field is for validation purposes and should be left unchanged.