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 ...
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 ...
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 ...
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, ...
Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...
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 ...
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 ...
Health plans have been pouring resources into data analytics for years. They’ve mapped chronic disease trends, pored over prescription data, and chased cost-savings across every corner of the ...
The solution isn’t to stop measuring data center efficiency. It’s to measure device sustainability with the same rigor.
Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful systems rely on designs that rarely appear in traditional programming ...
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