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 ...

New AI Deal Engine helps managers across private equity, private credit, real assets, infrastructure, real estate, and secondaries compete on intelligence, not manual effort ...

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 ...

Most companies are not short on data. They are short on decision-grade insight. Dashboards often describe what happened, but ...

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 ...

In regulated healthcare, the hardest part of scaling AI is often not the model, it is the data boundary. The data privacy management software market is projected to grow from $5.37 billion in 2025 to ...

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 ...

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 ...

Your engineering team ships weekly, but somehow pricing changes still take months. That gap stems from structural issues, and it reflects how most software companies were built: to monetize access, ...