Progress has been made in healthcare with improving data interoperability, or "data liquidity," the ability of data to securely flow from one place to another, as needed and appropriate, for patient ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

Although federal EHR technology investments had disappointing results, they were necessary to start digitizing the nation's health care data and set the stage for a promising future. An architecture ...

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 ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...

Lara A. Jacobs, editor; Oregon State University Press, 2025; 440 pages; $39.95. In recent years, in Alaska and elsewhere, Indigenous knowledge has found respect and inclusion in scientific research ...