In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, integrity, and accuracy of an organization''s data. Enterprise data quality ...

A little over a decade has passed since The Economist warned us that we would soon be drowning in data. The modern data stack has emerged as a proposed life-jacket for this data flood — spearheaded by ...

When publishing data to cloud data warehouse Snowflake for analytic use, data quality is of the utmost importance. Improperly curated data threatens the validity of the end analysis. Data Quality ...

NEW YORK--(BUSINESS WIRE)--The XBRL US Data Quality Committee (DQC) has published its 18th Rule Set for a 45-day public review and comment period, which closes on May 30, 2022. The freely available ...

The product feed is the single most essential element when it comes to listing shopping inventory on Google. However, feeds can be notoriously low-quality and heavily neglected. Shopping feeds work on ...

Confluent Inc., a provider of real-time data streaming tools based on Apache Kafka, today is using its London-based Kafka Summit to announce new capabilities in its Confluent Cloud that address data ...

Years ago, building financial models for banks was exhaustive – this was back when model features were hand-crafted and approved by steering committees. This was pre-deep learning days, where AI was ...

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the fast-changing field of artificial intelligence (AI), the importance of high-quality ...

BOSTON, Oct. 15, 2025 (GLOBE NEWSWIRE) -- Ataccama, the AI-powered data trust company, today announced a native integration with Atlan, bringing Ataccama’s automated data quality intelligence directly ...