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 ...

In the challenging landscape of enterprise data management, the remarkable transformation of a fragmented data infrastructure into a unified, cloud-based operating model stands as a testament to ...

Railpen, the fiduciary and investment manager of the UK railways’ pension schemes, has appointed BNY Mellon to provide a data operating model. BNY Mellon’s cloud-based data platform aims to deliver ...

Railpen, the fiduciary and investment manager of the UK railways’ pension schemes, has appointed BNY Mellon (NYSE:BK), the global financial services company, to provide a cloud-based data platform ...

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 ...

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 ...

With AI pushing systems to their limits, enterprise leaders are rethinking storage – not as a destination, but as the engine for smarter, faster decision-making Artificial intelligence (AI) is moving ...

Gokul Subramanian has consistently demonstrated his ability to drive business transformation through data. With over 18 years of experience in leading large-scale data programs and implementing ...

Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...