This webinar brings together experts from TDWI, Informatica, and Databricks to address the critical challenge of operationalizing AI at enterprise scale.

The Data Quality Maturity Model can help guide organizations on their data quality journey. It provides a framework for companies to understand where they are, where they’ve been, and where they still ...

AI has moved from speculation to reality, yet most organizations remain stuck between experimentation and execution. While leadership teams understand AI's potential, the gap between testing and ...

The biggest companies may say they're increasingly using data to drive their decisions and that they're investing heavily in prioritizing data within their organizations, but in fact, two-thirds of ...

Note: TDWI’s editors carefully choose press releases related to the data and analytics industry. We have edited and/or condensed this release to highlight key information but make no claims as to its ...

The "big" in "big data" is a function of the volume, variety, and velocity of the information that constitutes it. If you read a dozen articles on big data, there's a good chance the 3 Vs -- volume, ...

For years, TDWI research has tracked the evolution of data warehouse architectures as well as the emergence of the data lake. The two have recently converged to form a new and richer data architecture ...

Storage engineers and IT infrastructure managers have more on their plates than ever. Beyond managing the performance of on-premises and cloud storage and backup technologies, they need to manage the ...

If you're analyzing only structured data, you're missing a wealth of insights. Edward Cui, founder of Graviti, explains how to access the value in phone calls, emails, and even social media posts.

At TDWI's Executive Summit in San Diego, Mark Madsen posed the provocative question: is there a statistically significant correlation between sales of beer and sales of diapers? Madsen, a research ...

Predictive analytics can help companies optimize existing processes, better understand customer behavior, identify unexpected opportunities, and anticipate problems before they happen. Almost all of ...

Data governance is a continuous journey that must evolve alongside the changing needs of an organization. It focuses on the people, practices, and platforms that ensure business data is always ...