Fragmented data management is a limiting factor in successful AI adoption in the enterprise. Matia meets this challenge with ...

Report acknowledges comprehensive, mature approach to the data model and proper relationships and granularity between ...

By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and ...

New research published in Operations Research shows that health care systems can substantially reduce overtime, idle time, and overall staffing costs by adopting a multilocation, dynamic ...

Databricks’ latest research shows rapid growth in agentic AI deployments, but enterprise progress remains shaped by data visibility, governance, and operational oversight. EMEA CTO Dael Williamson ...

Data driven physician staffing at UPMC reduces overtime and idle time, saving over $800,000 annually across 11 hospitals.

AI has not reduced the need for human judgment in database management: It has exposed how dangerous it is to operate without ...

A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving ...

PitchBook debuts PitchBook Valuation Estimates, a daily valuation framework using machine learning and market data to value ...

Outlook 2026, Farzad Billimoria, Head of Barclays Private Bank, UAE, says UHNW and HNW clients are increasingly looking beyond pure investment performance towards more integrated, family office-style ...

For years, the industry standard for data ops has been a ticket-based service bureau. A product manager wants a new dashboard? Ticket. A data scientist needs a new feature pipeline? Ticket. A ...

OpenAI has significantly upgraded ChatGPT's Deep Research feature by integrating the latest GPT-5.2 model and allowing users ...