Data governance must ensure users can trust data enough to move faster, make smarter decisions and build better products, ...

Why the success of your enterprise AI initiatives depends on data unification, governance, and operational alignment.

Intelligence without integrity is just sophisticated risk. To build AI that lasts, you have to apply zero-trust principles to ...

The addition of Okera’s data governance technology to the Databricks Lakehouse Platform will boost data protection and governance for AI and machine learning tasks. Data lakehouse platform developer ...

Organizations need to be less trustful of data given how much of it is AI-generated, according to new research from Gartner. As more enterprises jump on board the generative AI train — a recent ...

Artificial intelligence (AI) is transforming industries by automating processes, enabling smarter decisions, and unlocking new avenues for innovation. According to recent Semarchy research, 74% of ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence continues to expand across enterprise environments, the governance of data and AI ...

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 ...

As a concerned father and a professional in the field, I believe AI safety must be prioritized, and the data layer is the ...

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 ...

Data governance should be a top priority for every organization due to the risks and benefits directly linked to it. Poor data governance can lead to performance issues, lawsuits and fines. Even more ...