Data lineage is a vital aspect of data management. It refers to the life-cycle of data, including its origins, movements, characteristics, and quality. This article delves into the concept of data ...

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 ...

Data provenance encompasses the systematic recording of the origins, transformations and movements of data, thereby establishing the trustworthiness and reproducibility of scientific results. Recent ...

Part of the Netskope One Platform, the new capabilities enable organizations to track provenance and lifecycle of data at rest, in motion, and in use, for compliance, investigation and policy ...

Dr Gulzar Singh explains why data issues in banks rarely surface as technology outages but instead emerge when institutions are asked to explain outcomes under scrutiny ...

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 ...

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 ...

RESEARCH TRIANGLE PARK – Can you really trust data sourced to artificial intelligence? IBM is taking steps to address that question with the acquisition announced Wednesday of Europe-based Manta ...

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 ...