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 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 ...

Data has become a main asset for businesses, which is why leaders and managers are increasingly trying to optimize this area. There are many reasons for this, but one of the most important is that ...

As part of NIH’s long-standing commitment to promote the sharing of scientific data, NIH has issued the Data Management and Sharing (DMS) policy (effective 01/25/2023) to “promote the management and ...

An innovation council brought together some of the nation’s largest health plans to raise issues and look for ways to improve complex processes, including credentialing and provider data management.

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 ...

In 2023, the integration of generative AI (GenAI) into the constantly evolving landscape of data management emerged as a game changer, promising to reshape the way organizations interact with ...

Collibra, Oracle, Tableau and Google Cloud Platform are among the best data management software that help businesses efficiently store, organize and analyze data. Data management software, not to be ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Once a promising but mostly supportive tool, artificial intelligence now stands at the center of how businesses manage and interpret customer data. Its capabilities are reshaping industries, enabling ...

Robotics companies often have to deal with a simple but confounding problem: Robots produce a lot of data. Even a simple robot can easily produce up to a terabyte of data per day, since they ...