Mike Walker, Benchmark Corp, Steve Sarsfield, Vertica, Scott Saktanaset, Vertica
A data warehouse is traditionally used to manage data and report on past trends. Today, much more is possible, as modern data warehouse capabilities shift toward machine learning and other advanced analytics.
Join this webcast to:
- Learn about the methods and technologies to expand traditional descriptive analytics with predictive analytics
- Enable predictive in your BI and reporting tools, expanding opportunities for business analysts
- Offer data scientist access to the rich data sets often locked away in the data warehouse
In this session, we will show how data warehouse technologies can be used as a repository for your machine learning models so you can train, manage, and deploy these models on your enterprise data whether on-premises or in the cloud. You will see how to train AI models on large data sets, supporting data scientists with their preferred languages like Python and R.