The newly launched South African Blood Regulatory (SABR) dataset reveals how genetic variation influences blood traits and ...

And almost half the municipalities (24 out of 52) have inadequate service delivery for children in nine or more sub-domains.

The most famous packing problem concerns spheres. In 1611, the astronomer Johannes Kepler proposed that the densest way to ...

Distill unstructured data into structured/labeled data; There's also a fair amount of AI integration through APIs (49.5%), with 9.4% using APIs exclusively. Another area where there may be a lot of ...

SAS Bets Big on AI Agents, Governance, Data-Driven Decisions Your email has been sent From SAS Innovate, Drew Robb is reporting on the company’s new AI tools and platform updates that enhance ...

SAS Viya Intelligent Decisioning, available now, helps users build and deploy intelligent AI agents via a low-code/no-code tool, with what the company describes as “The just right AI autonomy to ...

Big data refers to large, diverse sets of information from multiple sources that can provide strategic information for companies. ... SAS Institute Inc. "Big Data, What It Is and Why It Matters." ...

And other technical areas, like low-code data integration, are set to get a boost as well, and Gartner’s 2024 Magic Quadrant report says that incorporating AI assistants and AI-enhanced ...

Seagate tested the potential impact of NVMe hard drives through a proof-of-concept integration between custom HDDs, NVMe SSDs, Nvidia BlueField data processing units (DPU), and the AIStore software.

SAS’ acquisition highlights the growing requirement for synthetic data as an integral component of a modern AI toolkit, addressing data scarcity and privacy issues and improving model accuracy ...

This enables data scientists to create more balanced, reliable data sets for innovative solutions. SAS cites Gartner statistics which claim that by 2026, 75% of businesses will use GenAI to create ...

SAS (Statistical Analysis System) is an essential application for data science, and it assists in the statistical analysis process, predictive modeling, and data management. Furthermore, its use is ...