While many “front-to-back systems” promise seamless integration, few are truly built as one platform. Learn how Bloomberg's ...

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 ...

While the component supply crunch remains the headline, this also underscores that AI infrastructure architectures need to adapt.

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 ...

Deliverance AI is building the operating system for sovereign enterprise AI. Enterprise adoption of AI has stalled not ...

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 ...

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 ...

Consultants advising clients. Bankers structuring complex transactions. Lawyers navigating regulatory change. Marketers shaping brand and growth strategy. Analysts turning data into direction. These ...

At two recent Hubbis-hosted roundtable discussions in Hong Kong and Singapore, senior marketing and communications leaders ...

Most projects benefit from having a data model. This article gives an overview of the most common types. At its heart, data modeling is about understanding how data flows through a system. Just as a ...