Incorporating Machine Learning into your traditional data warehouse can be a complex process that entails managing multiple distributed components written in programming languages that may be unfamiliar to you, potentially slowing down your delivery speed.

Imagine if your data warehouse could serve as an "All-in-One Tool" for your Data Scientists, enabling them to securely and cost-effectively utilise Machine Learning models without the need for extensive Extract, Transform, Load (ETL) processes. What if all they needed was SQL?

In this presentation, I will demonstrate how Amazon Redshift ML can serve as the ultimate solution, acting as the "One Tool to Rule Them All," allowing you to achieve this seamlessly in just a few minutes.