This report looks at six major trends in how pipelines and the practices of data engineering are changing to deliver more value and support future agentic AI applications.

Through two half-days of lectures, demos, and hands-on exercises, you’ll learn how to build and optimize retrieval-augmented generation (RAG) systems that incorporate your business data.

Led by machine learning expert Dave Langer, you will learn everything you need to get started and advance your skills – from basic techniques like classification and regression to advanced techniques ...

Led by data science expert Deanne Larson, Ph.D., this hands-on workshop teaches you how to frame problems clearly with Claude, direct its approach, evaluate its output critically, and iterate toward ...

Creating performance metrics is as much art as science. To guide you in your quest, here are 12 characteristics of effective performance metrics. 1. Strategic. To create effective performance metrics, ...

Enterprise AI in Practice Assessment NEW! TDWI’s new Enterprise AI in Practice Assessment can help organizations understand their current position across today's major AI technologies. The assessment ...

The Business Intelligence Journal is an in-depth, unbiased information resource for data management and anlytics professionals. This quarterly publication provides fresh ideas and perspectives to help ...

Typically, what most validation pipelines do when there’s a failure is report some kind of error code or even a line number and leave a human to make sense of what ...

There was a time when choosing a programming language for data analysis had essentially no choice at all. The tools were few and they were usually developed and maintained by individual corporations ...

TDWI's Best Practices Awards program is designed to identify and honor companies that have demonstrated excellence in developing, deploying, and maintaining BI and DW applications. Winners are chosen ...