In a diverse and dynamic technology landscape, how can companies create a more intelligent approach to data management? Composable data systems based on open standards may be the next big thing for ...

Overview: AI tools now support planning, tracking, and risk detection in everyday project work.Understanding AI helps teams ...

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 substantial volume of data collected and analyzed by modern laboratories - irrespective of their sector - means that effective lab data management has never been so important. In this context, ...

The health care industry produces an astonishing amount of data: nearly one-third of the world’s data volume. The amount of data health care providers generate can seem overwhelming—and it can ...

Informatics solutions such as Electronic Lab Notebooks (ELN) and LIMS systems (Laboratory Information Management System or LIS) may be insufficient to manage this amount of data, leading to ...

In today’s fast-paced world, retailers are generating more data than ever before. From customer transactions to inventory management, retailers need to be able to manage, integrate and govern their ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

This article was written by Keith Bunnell, Global Head of Data Management Services at Bloomberg and is reproduced from A-Team Insight. Information has always been the lifeblood of the financial ...