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We speak to security experts about how IT departments and security leaders can ensure they run artificial intelligence systems safely and securely.
As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.
This blog is about the strategic importance of Target Operating Models (ToMs) in regulatory compliance and change transformation.
I advocate for operating models as a lens through which to consider how AI can be safely and effectively implemented across an organisation or even complex system. Operating models help ensure ...
Without a unified operating model, the institution can struggle to maintain a consistent and robust compliance posture, resulting in operational inefficiencies and growing regulatory scrutiny.
DBS Bank’s Responsible Data Use (RDU) Governance Operating Model wins best data management initiative in the 2025 Asia Awards.
Universities are re-evaluating their data governance strategies and technology as they embrace AI.
Keeping your data house in order on a daily basis may be no easy feat, especially in today’s digital world, but it has significant downstream impacts on the cost and efficiency with which data ...
Security, AI, risk and governance leaders must take a proactive approach to data security and governance, ensuring that their organizations are not just reacting to threats but staying ahead of them.
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