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 ...

AI isn’t just another tool layer to plug into existing structures. It fundamentally changes how work should flow.

As organizations scale from co-pilots to fully autonomous digital colleagues, the challenge is building smarter operating ...

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 ...

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 ...

AI-powered orchestration transforms perioperative roles by improving scheduling, staffing, and workflow across the surgical continuum.

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 ...

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 ...