By fostering collaboration and ensuring data flows easily between tools, your organization can unlock the full potential of ...

Data visualization and visual data discovery can enable diverse types of users—from data scientists working with big data to nontechnical business managers and frontline users—to see significant ...

As organizations collect higher volumes of more diverse data, data integrity is more challenging than ever. Organizations are dealing with vast amounts of data, making manual approaches to maintaining ...

As organizations look to integrate generative AI into their IT infrastructure, concerns about security and compliance often slow down adoption. These challenges can hinder the potential of AI to ...

Data science is an interdisciplinary field that combines social sciences, advanced statistics, and computer engineering skills to acquire, store, organize, and analyze information across a variety of ...

[NOTE -- My new TDWI report about High-Performance Data Warehousing (HiPer DW) is finished and will be published in October. The report’s Webinar will broadcast on October 9, 2012. In the meantime, ...

At Quicken Loans, we believe that optimal model function is best achieved by supplementing our models and data scientists with an advanced suite of supporting technology. We call this our “model ...

Where data, analytics, and AI teams go to transform their strategy, skills, and careers.

Big data analytics, mobile devices, cloud-based solutions, social media data, and predictive analytics—these are the major trends in today’s decision-making environments. Exciting, yes, but ...

This is a list of the winners of TDWI's Best Practices Awards 2007 program, which is designed to identify and honor companies that have demonstrated excellence in developing, deploying, and ...