Organizations are turning to machine learning (ML) and artificial intelligence (AI) as a path to innovation and product and service differentiation, but too many organizations are stalled at the proof-of-concept stage. In this webinar we’ll look at the lifecycle of ML and deep learning (DL) model development, deployment and operationalization and the impediments to success.
Register to attend and you’ll learn:
How to close gaps between the stages of development, deployment and ongoing management and optimization.
How to engage key constituents involved in ML and DL operationalization with a collaborative, team-based approach.
Where to turn for emerging technologies designed to ease the deployment and ongoing maintenance of ML/DL models
What you need to know about best practices for successful execution.
Join us Feb 28 11 AM PT to learn how to take a more industrialized and automated approach to developing and deploying ML and DL models across your enterprise.