The shift from integration to intelligence is fundamental. Data is the foundation, but intelligence is the product.

Artificial intelligence (AI) is now woven into nearly every enterprise technology stack. Salesforce, SAP, Microsoft and others position AI as central to their platforms, while boards press executives ...

Data integration aims to provide a unified and consistent view of all enterprise wide data. The data itself may be heterogeneous and reside in difference resources (XML files, legacy systems, ...

Data integration on its own is not enough. For real success, an organisation also needs to exploit data and analytics right across the business, embedding them in activities at every level, from the ...

Customer data integration (CDI) unifies data from multiple sources, creating a complete and accurate view of customers. It’s how your favorite online store knows exactly what you’re looking for—even ...

In a modern ICU alone, it’s estimated that tens of thousands of data points are generated from a single patient each day, for ventilators, IV pumps, and other medical devices. This information must ...

This article was written by Saba Mirsattari, Data Management Specialist at Bloomberg. ESG data is not a new consideration, but it has never been more relevant than it is today. These issues are ...

Data integration is a crucial aspect of workplace efficiency and maintaining compliance. Learn how data integration tools provide greater visibility and control. Image: Andrey Popov/Adobe Stock ...

The proliferation of remote and online work maximizes workforce potential for companies but spreads data thin from platform to platform. From customer relationship management software to cloud ...

Clinical trials produce more patient data than ever before, and yet sponsors still make critical decisions that can affect ...