The end of the unstructured data problem perfectly encapsulates the transformative benefits and potential risks of agentic AI ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost. The gap between what we can demonstrate and what we can operate at scale ...

Despite all our technological advancements, data quality remains the grit in the gears of the modern marketing engine. It’s the silent killer of campaigns, the drain on ROI, and the reason your ...

The Senate recently confirmed Martin O’Malley as the next commissioner of Social Security. O’Malley sailed through the confirmation process, even picking up support from some Republicans. O’Malley’s ...

Thomson Reuters Corp. is betting big on generative artificial intelligence, and it has the data foundation in place to do so. The global provider of professional information for the legal, accounting, ...

Data collection is not the principal roadblock behind issues with health care's massive data problem and how it hinders the referral process. In this contributor piece, Curtis Gattis, CEO and ...

About the author: Derek Horstmeyer is a professor of finance at George Mason University’s Costello College of Business. The Federal Reserve faces a problem of data reliability. It is an issue that has ...

Healthcare data accounts for 30% of the world’s data, and that proportion will jump to 36% by next year. Yet healthcare leaders say just 57% of their data is used to make intelligent business ...

A recent influx of digital technology has unlocked tremendous potential for clinical trials. For an industry that has traditionally relied on patients’ paper intake forms and manual data entry into ...