Operationalizing Machine Learning for the Enterprise using Python & Vertica

Presented by

Waqas Dhillon, Badr Ouali and Jeff Healey, Vertica

About this talk

Under the Hood: Data science has the potential to help businesses gain a competitive edge, but the difficulty of putting machine learning models into production is a huge impediment. Vertica ML unifies machine learning with data warehousing, which not only democratizes access to core machine learning capabilities but also greatly simplifies putting these models into production. In this session, we will share with you how you can use Vertica’s Python interface to perform the entire machine learning cycle – from data preparation to model deployment on very large datasets spanning several nodes in a cluster. We will also demonstrate the use Vertica as a repository for your machine learning models so you can archive, manage, and deploy these models on your enterprise data whether on-premises or in the cloud.
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OpenText has completed the purchase of Micro Focus, including Vertica. Our combined expertise expands our analytics offerings to help customers confidently scale analytics to the largest and most demanding workloads for the fastest predictive insights available on the market.