AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Gartner predicts that by 2028, 50% of organizations will have had to adopt a zero-trust posture for data governance as a ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI-generated data, often known as AI slop.

Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...

Artificial intelligence is no longer a “nice to have” in cybersecurity – it’s embedded everywhere. From detecting suspicious activity to responding to incidents in real time, AI now sits at the heart ...

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live substrate through which decisions are executed, policies are enforced, and ...

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 ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

Dr Gulzar Singh explains how algorithmic decision-making in banks has outpaced the institutional structures designed to govern accountability, oversight, and escalation ...