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

Co-founder & Chief Data Officer
Freight Science
Photo: Jürgen Weichenberger
Data Science Senior Principal & Global AI Lead, Resources
Senior Director, Digital Transformation - Head AI Products
Walmart Global Tech

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