Without governance, the AI revolution risks becoming a crisis of trust. We will not get a second chance to do this right.

At its core, data governance aims to ensure that data is managed throughout its lifecycle, from acquisition to consumption, in a way that supports the organization’s business objectives. Genesis ...

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As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

Stating a mission and objectives is an important first step in defining AI governance. The next step should be to answer key questions about where, how, and why employees should use AI capabilities.

Companies need to establish holistic data governance frameworks that prioritize ethical governance, security, bias mitigation, accuracy, and enrichment along with relevant business rules, Lontoh says.

Leveraging established AI governance frameworks, such as NIST’s AI Risk Management Framework or ISO/IEC 38507, can guide organizations in assessing and managing AI-related risks systematically. These ...

This article explores the governance challenges posed by AI note-taking tools and offers strategies to mitigate these risks while harnessing the benefits of AI responsibly.

The just-established Texas Business Court represents more than just a judicial development, it marks a transformative moment for corporate governance in the United States.. With this bold ...

Movate, a global leader in digital technology and IT services, today announced a strategic partnership with Anzenna, a ...

MCLEAN, Va.--(BUSINESS WIRE)--FairNow, a leading provider of AI governance software, announced today that it has secured $3.5 million in a seed funding round.The investment will help FairNow ...