IDUG NA 2025

Join me on a journey through our first year of deploying SQL Data Insights (SDI) into production. Discover how SDI impacted our business processes, changed stakeholder perceptions of the mainframe, and enhanced our approach to data analysis.
We will start with a review of our first use case and discuss the resources consumed for training and scoring, as well as the impact SDI had on our business processes. 
SDI's most evident benefit is its ability to analyze data where it sits without having to export, transfer and reload it, and with minimal data science dependency. But how does it compare to more traditional approaches? To answer that, we'll compare SDI with other machine learning algorithms by applying them to a frequently used dataset for predicting diamond prices. We'll delve into the accuracy of the algorithms and see how SDI stacks up against data scientists' most loved algorithms.
Following that, we'll explore a brand–new use case that applies the new commonality–function in Db2 FL504. We'll discuss its usefulness, resource requirements, and potential impact on business processes, providing more practical insights into the power of SDI.
And finally, I'll share a use case that demonstrates how to identify outliers using SDI with Db2 monitoring data, ready to be applied in your own shop. 
Don't miss this opportunity to gain practical insights into the power of SDI and how it can transform your data analysis!