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 ...

“Asset Owners in Focus: Operational and Data Adaptation in the Era of Digital Disruption,” its second annual global peer study examining how asset owners are adapting investment strategies and ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. This voice experience is generated by AI. Learn more. This ...

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 ...

Public health systems sit on mountains of data — yet insight remains scarce. The organizations closing that gap aren’t just investing in better dashboards. They’re fundamentally rethinking who gets to ...

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 ...

Liquid AI, founded by former MIT computer scientists, today released its smallest AI language model yet, LFM2.5-230M, and enterprises would do well to consider it for their uses in data extraction and ...

For the past few years, artificial intelligence in lending has largely been discussed in operational terms—faster underwriting, stronger fraud detection, quicker collections, and lower turnaround ...

Researchers have demonstrated a way to run a 70-billion-parameter language model across four consumer home devices while ...