That in turn could hasten a decline in model quality and accuracy, and an increase in hallucinations and bias. In response to ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

For today’s CISOs, the perimeter isn’t a firewall — it’s the data itself. Hybrid and multi-cloud architecture have created massive volumes of sensitive ...

When artificial intelligence fails, it rarely does so because of flawed algorithms. The real fault line lies upstream, in ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

Big AI models break when the cloud goes down; small, specialized agents keep working locally, protecting data, reducing costs ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

Dataiku’s field chief data officer for Asia-Pacific and Japan discusses how implementing AI governance can accelerate ...

As AI moves from pilots to large-scale deployment, financial institutions must ensure fairness, transparency and ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

Watsonx is IBM's next-generation AI platform for building and tuning foundation models, generative AI and machine learning systems. The platform contains a studio, data store and governance toolkit.

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...