Context, Control, and Enterprise Scale March 31, 2026. Artificial intelligence has entered a new phase of enterprise adoption. Generative ...

The AI Impact Awards don’t celebrate what AI could do — they honor what AI is doing right now, in real organizations, with real results. The TDWI AI Impact Showcase & Awards is a regional event series ...

Let your résumé show that your in-depth knowledge has been certified by TDWI, the industry’s premier provider of data and analytics education. Recognized by CIO Magazine as the top business ...

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 ...

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 ...

There are numerous rapidly evolving technologies for analyzing data and building models. In a remarkably short time, they have progressed from desktops to massively parallel warehouses with huge data ...

It’s no myth or mystery that digital transformation has created a massive influx of information; data is everywhere, all the time, and it’s not slowing down. With this influx of data, everybody ...

The forces that gave rise to data warehousing in the 1980s are just as important today. History has revealed the benefits and drawbacks of the traditional data warehouse, the NoSQL options, and, more ...

We have simplified the category structure for our Best Practices Awards based on feedback from prior years. The new Data Management category focuses on management of information resources; the ...

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, ...

AI adoption is accelerating across the enterprise, yet a striking paradox persists: most data leaders report confidence in their infrastructure, skills, and data readiness for AI, while simultaneously ...