Why Data Quality Should Start At The Beginning, Not The End

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...
SiliconANGLE

Confluent buffs up its cloud with data quality controls and managed connections

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 ...
SD Times

The hidden crisis behind AI’s promise: Why data quality became an afterthought

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
JD Supra

UK FCA findings on multi-firm review of data quality control frameworks in benchmarks sector

The UK Financial Conduct Authority (FCA) has published a new webpage summarising the findings of its multi-firm review into how benchmark administrators (BMA) manage data-related risks. While the FCA ...
InfoWorld

Solving the data quality problem in generative AI

It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI. The potential of generative AI has captivated both businesses and ...