Analyst Webinar: Machine Learning Operationalization

Presented by

Mike Gualtieri, VP, Principal Analyst, Forrester Research; Matheen Raza, Product Marketing, HPE

About this talk

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!

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Hewlett Packard Enterprise (HPE) is transforming how enterprises deploy AI / Machine Learning (ML) and Big Data analytics. HPE’s container-based software platform makes it easier, faster, and more cost-effective for enterprises to innovate with AI / ML and Big Data technologies – either on-premises, in the public cloud, or in a hybrid architecture. With HPE, our customers can spin up containerized environments within minutes, providing their data scientists with on-demand access to the applications, data, and infrastructure they need.