AI applications require good data to be effective. Consequently, universities and colleges are fine-tuning their data ...

Aside from improving data quality, governance ... repository. Who made changes to what studies, standards, and assets, and when. And, you can check the differences between them. For example ...

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

such as the potential for the model to adapt in ways that are unintended or introduce new biases as it interacts with evolving data. At SAS, we address this by emphasizing hybrid governance models ...

IAPP Westin Research Fellow C. Kibby explores potential ethical concerns ranging from data privacy risks to algorithmic bias ...

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...

Announced at its Build developer conference, Microsoft is adding independent AI Agents across Windows and the web. But what ...

AI-powered automation will give rise to the " zero-knowledge threat actor ." Threat actors will leverage AI tools and ...

Artificial intelligence (AI) governance is a tricky topic in the health care industry. Stakeholders must collaborate to set ...

As AI becomes more central to enterprise security, ignoring adversarial risks is like leaving the back door wide open.

Alteryx Introduces a Unified Platform for Enterprise Analytics and AI Orchestration Alteryx One unifies the full Alteryx suite with new pla ...