ModelOps: Repeatable, Efficient Machine Learning At Scale
Discover the core capabilities and tools to manage the model life cycle in a consistent, scalable manner.
About the webinar
Are you making the most of your analytic investments?
Organizations are faced with more pressure to execute predictive modeling, AI and ML model deployments.
But the truth is, 50% of models never make it into production.
All that time and effort – for no results – constitutes a real operational cost.
Organizations need a reliable way to manage the model life cycle at speed, and to manage the associated costs.
That’s the power of ModelOps.
We will discuss:
- The importance of AI and advanced analytic models and how to deploy them.
- The key challenges organizations face in operationalizing models.
- The six key capabilities needed to operationalize analytic and AI models.