To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...

How can enterprises secure and manage the expanding ecosystem of AI applications that touch sensitive business data? Start with a governance framework. From automating workflows to unlocking new ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

AI regulation and risk governance have evolved from niche concerns to board-level priorities in under three years.

Singapore has released a draft governance framework on generative artificial intelligence (GenAI) that it says is necessary to address emerging issues, including incident reporting and content ...

To adopt AI responsibly, organizations must understand the high-stakes risk profile of video data and take concrete steps to ...

The no-code approach has changed the nature of software development. However, if you're in IT, the idea of no-code apps being written without the involvement of professional developers may trigger ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

In the evolving landscape of higher education, institutions are grappling with how to adapt their governance models to address new trends and technologies. The traditional balance of power and ...