A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...

Data integration as a formal practice gained prominence in the late 20th century with the rise of relational databases and the need for a more efficient way to manage and analyze data. It has come a ...

Interest in autonomous AI is rising, but firms are holding back investment as integration, governance and data quality issues ...

To examine enabling technologies and best practices for adopting a data fabric architecture, experts from TimeXtender and Acceldata joined DBTA's webinar, Moving to a Data Fabric: Key Challenges and ...

A new global survey of IT leaders finds that while artificial intelligence is widely adopted across enterprises, many ...

As power companies build hybrid projects combining solar, wind, battery storage and hydrogen assets, they face the challenge of integrating dozens of different control systems and data types from ...

In the video presentation below, Alex Clark, Chief Software Architect & Founder at BitStew, talks about Industrial Internet of Things (IIoT), its challenges, and opportunities. There will be 50 ...

Despite record IT spending, airlines and airports struggle to unlock full value due to fragmented data systems. Industry ...

I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...

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 ...

Cloudera, the only company bringing AI to data anywhere, today released its latest global survey, The Data Readiness Index: Understanding the Foundations for Successful AI, examining how prepared ...