Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

Operational and analytical IT systems have always needed lots of data. But the wave of artificial intelligence and generative AI systems now being developed are pushing the demand for data to new ...

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...

The authors argue that effective data management must be treated as an end-to-end supply chain capability rather than a set ...

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

Katherine Haan, MBA, is a Senior Staff Writer for Forbes Advisor and a former financial advisor turned international bestselling author and business coach. For more than a decade, she’s helped small ...

Pure Storage’s recent launch of its Enterprise Data Cloud reignited debate around storage and data management. Pure claims its EDC addresses the management of growing volumes of data in a complex ...

California has long lagged behind most other states when it comes to education data systems, choosing to focus on compliance rather than program improvement, but that could change later this year when ...

The Integrated Data Systems and Services (IDSS) program supports operations-level national-scale cyberinfrastructure systems and services that broadly advance and facilitate open, data-intensive and ...

For the first time in Korea, Hallym University Medical Center (Director Kim Yong-sun) has obtained the highest grade ...