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 ...

In today’s research world, data is produced faster than ever. Old methods like paper records or simple spreadsheets can’t keep up with the volume and complexity of this data. Lab Data Management ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

An MDM program offers a competitive advantage by creating a two-way data clearinghouse with automation and tools to manage data that all your systems can access Until now, as a developer, you’ve been ...

In 2018, two industry experts forecast that the world’s collective data growth would be staggering. Research firm IDC predicted that data would rise from 33 zettabytes (ZB) in 2018 to 175ZB by 2025, ...

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 ...

A solid customer master data management system should give you design and functionality freedom, whether for marketing, service, sales or support, or anything else. That way, you can cope with all ...

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.