We are now trying to get more and more data from systems of record for reporting and AI than ever before.

The speed at which we need results is increasing; and in the last 30 years, we have tried all in-memory solutions like OLAP cubes and Spark.

Now, running a database and in-database AI within GPU is the fastest technology available. With serverless access, this technology enables new approaches for deep learning.

Brytlyt has the tools to make this step change immediately accessible to the citizen data scientist as well as the expert researcher.

In this session, you will learn how you can:

• Easily load, transform, and explore data in GPU
• Gain insights fast from billions of records
• Build powerful neural networks in-database
• Have predictions immediately available in dashboards