An innovative, interdisciplinary project co-led by the University of Illinois Chicago will use artificial intelligence to unify data from a broader range of health professions and create novel ...

The ETL frameworks Kishore Ande implemented ensured not only operational efficiency but also data quality—a critical prerequisite for advanced analytics and, eventually, artificial intelligence ...

Data integration and data ingestion are two IT disciplines that are often confused. Here's how they differ and challenges you may encounter.

Every data integration initiative-whether it supports better decision making, a merger/acquisition, regulatory compliance, or other business need-requires a set of processes to be completed before the ...

Data integration is a crucial aspect of workplace efficiency and compliance. Read how data integration tools give more visibility and control.

Many are either in the midst of a data integration project that they feel will solve efficiency issues and yield more accurate forecasting capabilities, or they’re foregoing that aspect, hoping ...

I'd like to share insights on the interplay between AI and data integration in reshaping the analytics landscape.

Two vendors have rolled out versions of their data integration servers that enable end users and developers to cull data from multiple sources and display it in a single view, such as an ...