The Breach Was Just the Symptom. Data governance has always been one of financial services' most stubborn problems. The ...

Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding customer trust and increasing risk.

A lifecycle-based guide to securing enterprise AI—covering models, data, and agents, with five risk categories and governance guidance for leadership.

The next generation of financial crime prevention will be built on smarter architectures, not bigger data pools.

The explosion in usage of tools like ChatGPT—offering the promise of increased productivity and creativity—is pushing across both personal and professional boundaries. In fact, analyst firm Gartner ...

Trilateral Research’s Amelia Williams unpacks the governance risks emerging from rapid enterprise A.I. adoption, arguing that the debate has focused too narrowly on regulation and technical ...

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 ...

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 ...

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 access empowerment operating models enable public health leaders to make timely, informed decisions with trusted intelligence and faster insights.