Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data actively support decisions as operations unfold.

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create synthetic data in a can solve this bottleneck.

The Customer Cyber Exposure Scan is available now across the insurance market, for reinsurers, insurers, MGAs, brokers and affinity partners at any stage of the distribution chain. The launch is ...

Last year, The European Union Agency for Cybersecurity (ENISA) launched the European Union’s Vulnerability Database (EUVD), which marked a pivotal moment in the evolution of global cybersecurity. For ...

Cardinal Health was recognized for a project, “Enhancing DSCSA Transparency Through EDI 852 Quarantine Field Implementation.” ...

Outset Media Index (OMI) entered its soft launch as a standardized benchmark designed to bring data-driven clarity to media ...

A new Bloom Energy report finds power availability emerging as the defining constraint on AI data center growth, driving gigawatt campuses, onsite generation, and shifts in ...

AI workloads are pushing the power demands of server racks beyond the practical limits of 48VDC distribution. With current levels reaching several MW, data centres using traditional architectures face ...

Microsoft on Thursday, March 5, resumed its community outreach effort with a second data center open house for Lowell-area ...

The growth of data centers and AI is sparking mergers and acquisitions in the microgrid and renewables space, according to a new report from Deloitte. Some entities are ...