Experts at Technical.ly’s Builders Conference shared tips on how to confront automation’s new cybersecurity threats.

Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

Trilateral Research’s Amelia Williams examines the gap between enterprise A.I. adoption and the quality of the data powering ...

On July 23, 2025, the Trump Administration released its AI Action Plan (“the Plan”), a long-anticipated roadmap for the federal government’s approach to AI governance that presents a number of ...

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 AI becomes increasingly embedded in healthcare operations and strategy, organizations are working on how to govern its use responsibly amid evolving regulations and rising risk. Becker’s Healthcare ...

Data has transitioned from a secondary consideration to the backbone of business metamorphosis, tailored mainly by the opportunities engendered by artificial intelligence. In contradistinction, data ...

Data governance is transforming the world of business and IT as organizations increasingly acknowledge and embrace the importance of data in the modern world. And this transformation significantly ...

To ensure your migration drives actual business value, here are four best practices for integrating data governance into your migration process.

AI’s rapid adoption in talent acquisition (TA) has proven to be a double-edged sword. While TA teams have seen expanded capabilities and increased efficiency, layering these tools across every aspect ...