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

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will ...

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...

Open banking, embedded finance, and AI are changing where bank data flows. Data privacy now determines how far innovation can ...

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...

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 ...

Overview of the Agentic Trust Framework (ATF), an open governance spec applying Zero Trust to autonomous AI agents, with ...

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

The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...

Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...