Fragmented data management is a limiting factor in successful AI adoption in the enterprise. Matia meets this challenge with ...

Most modern businesses recognize the value of data. For small businesses, this often means relying on reports generated by the business software platforms they use for daily operations. However, ...

The bulk of investments made in data management platforms thus far has not been money well spent, according to a Data Value Scorecard published today by data lake platform Dremio. The scorecard finds ...

It’s often said that knowledge is power, and that’s never been more true for businesses than in today’s digital age. Technology tools enable businesses to collect a wealth of information from ...

Big data is continuing to proliferate at organizations, this time spurred by AI and machine learning within enterprise software tools, followed by advancements in software for managing unstructured ...

A poll of data leaders has found that many anticipate using multiple providers to help them achieve their 2026 data ...

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.

The Data department at Bloomberg is dedicated to advancing data management capabilities across the organization. This department plays a crucial role in ensuring data integrity, accessibility, and ...

Success with a multi-tenant architecture requires the close alignment of design, use case, and underlying technology. Let’s dive into the key design patterns, their benefits, and their challenges.

The Libraries provide guidance for writing Data Management (and Sharing) Plans (DMPs or DMSPs), whether they are required as part of a grant proposal or written electively to support effective ...