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 ...

When the fundamentals are in place—connected systems, clear ownership and stable processes—AI can start delivering real value ...

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 ...

Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration - SiliconANGLE ...

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 ...

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 ...

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 ...

If you’ve been around long enough to see a few CRM projects come and go, then you have probably noticed a pattern. Technology changes, the logos change, and the dashboards look shinier every few years ...

Investment managers are operating in an environment defined by constant, relentless change. Whether expanding into private markets, navigating evolving regulatory reporting requirements, or ...

Taken together, these signals operationalize a data-centric oversight model. They also raise a practical question for CMC and ...