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

For decades, banks have wrestled with fragmented regulatory data by investing billions in lakes, warehouses and point solutions that promised control but delivered more silos. What financial ...

In an age in which data governance has become all but synonymous with data privacy and data protection, there are numerous aspects of data management that are regarded much differently than how they ...

The RDU Governance Operating Model was initially launched for Singapore use-cases and has since been rolled out to the bank’s core markets of China, Hong Kong, India, Indonesia and Taiwan to guide and ...

Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...

This blog focuses on the importance of preparing the public sector more rapidly for modernization to take advantage of AI and stresses the importance of getting the fundamentals right – which must be ...

As organizations accelerate AI adoption and expand analytics capabilities, many still struggle to execute their data strategies due to unclear operating models, siloed decision-making, and ...

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 ...

Many higher education institutions are migrating their data centers to a cloud operating model. It's a movement that has its roots over a decade ago. And while that may not be news, it's a growing ...

Transform is the leading event on applied AI for enterprise business and technology decision makers. As part of that, we’ve tapped industry thought leaders for insights into one of the most critical ...