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 ...

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 ...

The financial industry faces immense pressure from both evolving regulations and sophisticated financial criminals, which leads to significant operational costs and the risk of reputational damage.

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 ...

Brittni Barnett is the associate director of IT Service Operations at Boston Dynamics, a global leader in autonomous mobile robotics. With over 15 years of experience in security, service, and IT ...

Mark Madsen works on the use of data, analytics, and AI to augment human decision-making and evolve organizational systems. Mark is president of Third Nature where he advises companies on data science ...

Whether you’re a data analyst drowning in dashboard requests or a business user struggling to find insights, you need a better way to work. What if BI tools could understand your natural language ...

Most modern enterprises have data distributed across a hybrid environment, with some on premises and some in the cloud. But what happens when you try to implement AI or advanced analytics, but your ...

AI adoption is accelerating, and every AI initiative performs only as well as the data that supplies it. Agents, analytics, and automated operations all need data that is unified, governed, secure, ...