For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered ...

As AI projects move from the realm of technologists to the business environment, major organisations including Telstra and Fonterra share how they are tackling legacy data issues to prepare for agenti ...

SAP is building what it calls a “database for AI”, with India driving both core engineering and the company’s fastest-growing ...

This creates a continuous feedback loop where proven AI insights evolve into new operational rules, strengthening reliability ...

Imagine a seamlessly orchestrated flow—studies designed smarter, delivered more smoothly, risks reduced and communications ...

With Azure HorizonDB, Microsoft introduces a cloud-native PostgreSQL database with up to 3072 vCores, VS Code Extensions, and ...

Splitero reports that automated valuation models (AVMs) quickly estimate property values using data, offering speed and affordability over traditional appraisals.

With data positioned as a national asset, 12 major databases are being integrated to support digital governance and ...

Explore how AI-driven solutions are transforming unstructured clinical data into valuable healthcare insights, advancing ...

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk assessment, achieving systematic evaluation and preventive ...

EVE is a deep generative model combining evolutionary and human population data to estimate variant deleteriousness on a proteome-wide scale.

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...