Udo Sglavo leads Applied Artificial Intelligence and Modeling Research and Development at SAS. With a 25-year track record of ...

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

TDWI research shows that while organizations cite generative AI as a top priority, most are struggling with implementation and lagging in maturity. Join us for an insightful TDWI Summit event where ...

TDWI instructor Chris Adamson defines dimensional data modeling as “the nexus of a holistic approach to managing business intelligence, analytics, and governance programs. Used at a program level to ...

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 ...

Enterprises are increasingly exploring opportunities to productize their data assets where appropriate. They are monetizing their data by packaging it—along with such data-derived assets as trained ...

Why Google is a Leader and positioned furthest in vision among all vendors evaluated in the 2024 Gartner Magic Quadrant for Cloud Database Management Systems Google’s strengths and challenges among ...

Discover how Google Cloud's multi-layered data security approach can help safeguard your sensitive data assets in the cloud. From data platform-level security features to access controls, perimeter ...

Your enterprise already uses operational data—such as customer information, financial transactions, and inventory levels—to improve processes and customer experience. But if this information isn’t ...

Are you ready to harness the full potential of AI for your organization? In today's rapidly evolving business landscape, organizations are increasingly turning to AI to drive innovation, optimize ...