While the term “data management” inevitably conjures up mental images of vast server farms, the basic tenets predate the computer age. From censuses and elections to the dawn of banking, individuals ...

Organisations are beginning to implement zero-trust models for data governance thanks to the proliferation of poor quality AI ...

Long before COVID-19, disruptive technologies had already made significant inroads into traditional enterprises, compelling them to evolve their operating models for the digital age. The pandemic only ...

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 ...

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 ...

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 ...

Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...

It’s been a huge 12 months for data and models. From the emergence of generative artificial intelligence (GenAI) tools such as ChatGPT in late 2022 to the ever-increasing reliance on machine learning ...

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 ...

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 ...