Enterprises are increasingly testing, iterating, and deploying more machine learning models across business processes and products. As success is realized and scale increases, managing ML models becomes progressively more challenging. So, how can you manage operational workflows in a standardized process across the organization? One solution is to establish universal software and process standards for managing ML operations.  These standards should normalize and streamline how ML engineers, operators, and managers monitor and govern models at scale.

In this webinar, you’ll learn how to: 

• Overcome common challenges with managing production ML workflows

• Implement universal enterprise-grade standards for creating, monitoring and governing ML models 

• Adopt and shape these standards to fit your organization’s needs and ML workflows

This webinar is essential for any stakeholder grappling with how to manage, operationalize and scale machine learning across their business.