[Virtual talk] How to remove the biggest blocker to production AI/ML

ML teams are being asked to power every customer experience and interaction with AI/ML.  The pressure to go faster is high, but the reality is that the complex data engineering to get the right data to models for training and inference is a big blocker.  

Join this virtual talk on Wednesday, May 29 to learn best practices for increasing development velocity while building better, more accurate models.

Come join to see how ML teams at companies like Progressive, Plaid, and Hello Fresh have been able to reduce overall time to production by 80% while increasing prediction accuracy and lowering production costs.