Recent industry surveys have shown that up to 80% of ML models do not get deployed. There are roadblocks at every stage of the ML model development lifecycle. Is it possible we are going about this all wrong? 

In this session, we will explore a series of case studies to drill down on the roadblocks to ML deployment. And along the way, identify the pieces you must have in place to improve your chances of deployment success.  

This session will be interactive. If you’re ready to discuss your deployment challenges, you’ll be able to tap the wisdom of your peers.