Many companies are choosing to build their own AI systems, rather than buy. Financial services firm Kapitus shares lessons learned.

About three years ago, Steven Adler was running the privacy consulting practice at IBM. As he talked with IBM customers, he discovered that many of the large customers had some pretty complex IT ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

AI regulation and risk governance have evolved from niche concerns to board-level priorities in under three years.

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Unified data control startup Securiti Inc. today announced the release of “AI Governance,” a new solution that offers comprehensive management of artificial intelligence compliance and risk across ...

A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...

AI isn’t just expensive to run — it’s expensive to govern. And unless finance, risk and tech align, AI projects stall or fail ...

China data compliance trends highlight stricter audits, cross-border rules, and enforcement—what foreign firms must know now.

The openness to tap into the power of generative AI will likely continue to grow with an estimated $15.7 trillion dollars of potential contribution to the global economy by 2030, according to PwC’s ...