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 ...

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 ...

At the core of this strategy lies the imperative task of establishing the right data foundations for AI and machine learning (ML) endeavors. Business leaders must navigate these hurdles as they embark ...

REDWOOD CITY, Calif., March 03, 2025 (GLOBE NEWSWIRE) -- Alation Inc., the data intelligence company, today introduced Alation Data Products Marketplace and a new Data Products Expert Services ...

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 ...

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, ...

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 ...

It is clear that banks and other financial institutions need to implement an enterprise-wide data driven culture if they are to succeed in meeting the regulatory demands of BCBS239. With the directive ...