Demo: Exasol and evoML

How to deploy ML at scale

As seen live at the Gartner Data Management Showdown

Organizations are not getting anywhere close to tapping into the potential of Loading...machine learning.

Why?

Because it takes far too long to build the models, never mind the time it takes to deploy these into production. But there’s a solution.

Exasol’s native integration with evoML, from leading AI optimization company, TurinTech, allows you to make these timelines a thing of the past and deploy ML at scale, accelerating your time to data.

How?

We showed how we can make a difference in this demo, presented to the audience as part of the Data Management Showdown at the Gartner Data & Analytics Summit, Orlando. Watch the video to see for yourself.

If this video has got your interest, why not take our complimentary SaaS trial to put Exasol to the test with your own data.

What You’ll Learn

  • How to deploy ML at scale

  • Why our virtual schemas can negate the need for ETL pipelines

  • What evoML’s optimization of Loading...machine learning code can do for your organization

  • How to fast-track the Loading...data science lifecycle

  • How evoML’s native integration into Exasol works in practice

  • What countries around the world need to do to reach the UN’s Sustainable Development Goals