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 ...

The firms that perform are not the ones with the most compelling theses. They are the ones with the most disciplined ...

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

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 ...

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 ...

The trust gap widens as artificial intelligence (AI) goes mainstream, according to research from Salesforce. Brands are turning to generative AI to boost efficiency while improving customer engagement ...

Omnicom CIO Craig Cuyar discusses AI, data and operating model transformation as the company evolves into a more integrated, ...

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 ...