Electronic health record (EHR) adoption was driven, in part, by a recognition of the power of data. Given the complexities of healthcare informatics, though, the full potential of health data has been ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Most organizations' digital transformation journeys are increasingly defined by hybrid cloud adoption and AI integration. These shifts demand proactive, built-in security tailored for hybrid cloud and ...

Supermicro's Fanless Compact Edge System SYS-E103-14P-H, features the new Intel Core Ultra Series 3 processor featuring built ...

Customers can purchase ModelOp Center using AWS Marketplace, helping reduce vendor onboarding and contracting complexity. Charges for ModelOp appear on customers’ AWS bills, supporting centralized ...

These advantages have set the stage for network tools powered by AI and ML to reach deeper into service provider networks and back-office systems as a predictive resource capable of correlating the ...

Founded by Marc Stad in 2012, Dragoneer takes a highly selective, research-driven approach and seeks long-term partnerships with a small number of category-defining companies. The firm has invested in ...

Explore ISRO’s free AI and Machine Learning courses offered through IIRS and online platforms. Learn eligibility, syllabus, ...

Explore five free and low-cost AI certifications that help tech professionals build AI skills across cloud, machine learning, ...

Google is hiring a Senior Staff Software Engineer, AI/ML to design, develop, and deploy AI-driven applications and platforms. The role focuses on building scala ...

Telcos consume huge amounts of energy. So does AI. Could one of those be used to help save energy used by the other?

If good data is the fuel for AI/ML and advanced analytics, smart data engineering is foundational for setting these systems up for success. Without proper data engineering practices in place, even the ...