Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. When you pick up a bottle of champagne, the first thing you look for isn’t the bubbles—it’s ...
The familiar adage “garbage in, garbage out” oversimplifies the challenge. Data isn’t inherently garbage. A temperature reading, a point of service transaction record made by a cashier, or a sensor ...
Sponsored Content As the property market continues its uneven march towards digitisation, one truth is becoming increasingly ...
In a world where artificial intelligence is quickly creating a situation where the average user can no longer trust the authenticity of the images, files, programs, and content they see online, the ...
NEW YORK--(BUSINESS WIRE)--Based on the work of experts from nineteen leading enterprises, the Data & Trust Alliance (D&TA) announced proposed data provenance standards, believed to be the first with ...
A new tool, Data Provenance Explorer, lets users pick through the questionable provenance of many large data sets used for AI training. A new online tool allows users to identify, track and learn ...
Data provenance encompasses the systematic recording of the origins, transformations and movements of data, thereby establishing the trustworthiness and reproducibility of scientific results. Recent ...
This content is produced by a member of The Drum Network, a paid-for membership club for CEOs and their agencies who want to share their expertise and grow their business. It would therefore appear ...
Researchers from MIT, Cohere for AI and 11 other institutions launched the Data Provenance Platform today in order to "tackle the data transparency crisis in the AI space." They audited and traced ...
The Data Provenance Explorer can help machine-learning practitioners make more informed choices about the data they train their models on, which could improve the accuracy of models deployed in the ...
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