Companies are set to be faced with 150% more data, large organizations will see double by 2026 More than half of organizations test new AI systems in real-time without sandboxing Businesses should ...

The true value emerges not from the quantity of data alone but from the ability to ensure its reliability and make it readily ...

Microsoft, IBM and Cisco are among the vendors backing the OASIS Data Provenance Standards Technical Committee announced last ...

Randomized clinical food trials are essential to this task, for which data management and quality management are synonymous with best clinical practice. Aoife Hayes, Kevin O’Regan, and Julie ...

The Role of Data in AI Quality equips business leaders with the insights needed to establish effective data management practices, ensuring AI solutions produce meaningful and trustworthy results.

Poor data quality often leads to AI failures, making trust models essential in assessing data value and risk, providing ...