Mike Gualtieri, VP, Principal Analyst, Forrester Research; Matheen Raza, Product Marketing, HPE
Join this webinar with HPE and guest speaker Forrester Research to learn about the key technological and organizational challenges that impact the success of machine learning (ML) projects.
As enterprises operationalize their ML models, they often face problems in the "last mile" of model deployment. The emerging field of ML Ops aims to deliver agility and speed to the ML lifecycle – similar to what DevOps processes have done for the software development lifecycle.
In this webinar, we'll discuss:
-Forrester's latest findings on the state of machine learning in the enterprise
-The 7 key requirements for successful ML Ops deployment
-Organizational best practices to improve productivity of data science teams
Register today and you'll receive the accompanying research report too!