This paper advances a single claim: in the AI era, privacy risks are increasingly metadata risks—and metadata risks are professional responsibility risks.

We examine the challenges organizations grapple with in the complexities of the modern data stack and look toward a sixth data platform, one assembled from modular, multivendor components. Dbt Labs ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Fivetran announced yesterday the release of an API designed to propel ...

Metadata is a term for data that describes the attributes of another set of data. Metadata can determine much of what you encounter online, from the top search results returned in Google to the ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group founder. When we talk about data management, we refer to a broad ...

In this special guest feature, Jörg Schad, Head of Machine Learning at ArangoDB, discusses the need for Machine Learning Metadata, solutions for storing and analyzing Metadata as well as the benefits ...

MIAMI--(BUSINESS WIRE)--Kurve, a venture-backed startup building an AI-powered developer tool that automates data discovery, featuring engineering, and interoperability management, is coming out of ...

The Data Integration Companies Quadrant provides an in-depth analysis of the global Data Integration market, highlighting the top 20 leaders among over 100 evaluated companies. This quadrant assesses ...

New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...

In 2019, LinkedIn’s engineering team announced DataHub, a metadata tool it had built to help it organise, search and discover insights from its vast data trove. In 2020, LinkedIn open sourced it. Now, ...