Enterprise companies have spent years modernizing their data stacks, but are they getting enough out of them? Over the last ...

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

The Bjerksund-Stensland model is a key method for pricing American options. It helps investors determine optimal times for exercising options with dividends considered.

The programs that were developed with the help of data systems had been created to transmit data elsewhere in a consistent ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

CHORD is also designed to be a prolific detector of transient signals that are fleeting but can be equally revealing. They ...

Why do AI hallucinations occur in finance and crypto? Learn how market volatility, data fragmentation, and probabilistic modeling increase the risk of misleading AI insights.