Deploying AI/ML workloads into production in hybrid cloud environments

Presented by

Ron Kafka, HPE; Yves Laurent, H2O.ai; Chris Santiago, Unravel Data

About this talk

Realizing the promise of AI/ ML remains a challenge for many organizations and they often face problems in the "last mile" of model deployment. HPE, along with the HPE Ezmeral ISV partners, collaborate to deliver real world solutions to unlocking the business value of data through successful AI / ML deployments at scale. Key topics that will be covered: - Maximizing return on big data analytics and AI technology investments - How to approach data analytics, AI workloads and containerization - Customer examples of building and deploying AI workloads into production Watch this on-demand webinar and learn how you can maximize your big data.

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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.