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 ...

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 ...

• Intelligent Delivery: Knowledge assets decay rapidly without active curation. Enterprise intelligence includes self-healing ...

SageX, an AI-native enterprise data platform, today announced its position as the platform solving one of the most critical ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Woman working on desktop PC while yellow robot arms hand her papers and folders. Credit: VentureBeat made with Midjourney Is the Google Search for internal enterprise knowledge finally here...but from ...

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 ...

Here's how banks are using AI to modernize incrementally, preserve institutional knowledge and evolve legacy platforms without full-scale replacement.

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 ...