To adopt AI responsibly, organizations must understand the high-stakes risk profile of video data and take concrete steps to ...

What will shape enterprise data in 2026? We look at insights from Bloomberg’s Enterprise Data & Tech Summit in London on ...

For healthcare data strategy projects, there are four essential elements to turn aspiration into a plan for recurring ...

A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective ...

India has data at scale, but it is not integrated. A unified data stack could be the only way out to achieve successfully the ...

AI readiness rests on three foundational pillars: a modern data ecosystem, robust data governance and a strong data-driven ...

Enterprises hustling to embed AI across their operations came to an uncomfortable realization in 2025: they lost track of the ...

Most enterprises assume their governance systems are built for modern risk. Policies are mature. Controls are defined. Programs are resourced. Yet beneath ...

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

The Indian government has outlined plans to democratise AI infrastructure by expanding access to compute power, datasets and ...

Cloud may not be the best option for artificial intelligence projects, which is prompting a broader reconsideration of hybrid ...

Explore how organisations can create lasting value through ongoing digital transformation, leveraging AI, data, and a culture ...