This webinar brings together experts from TDWI, Informatica, and Databricks to address the critical challenge of operationalizing AI at enterprise scale.
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 ...
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 ...
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 ...
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 ...
Predictive analytics can help companies optimize existing processes, better understand customer behavior, identify unexpected opportunities, and anticipate problems before they happen. Almost all of ...
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, ...
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 ...
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 ...
A misdiagnosed patient. A denied mortgage. A fraud alert that locks out a legitimate customer. These aren’t edge cases—they’re recurring failures of systems never meant to make high-stakes decisions ...