Learn everything you need to know about two of the leading cloud-based infrastructure as a service providers, including how ...

Many businesses are grappling with how to use artificial intelligence securely. There are major concerns regarding sensitive ...

Join a purpose-driven team where your data engineering expertise directly accelerates Eneco's mission to become the first CO₂-neutral energy company by 2035. Work with cutting-edge cloud technologies ...

INE Security, a global provider of networking and cybersecurity training and certifications, today released its Top 5 Cloud Security Trends of 2026, highlighting the growing need for defender-ready ...

A multi-cloud strategy involves spreading your application workload across multiple cloud providers, rather than relying solely on a single one. It's about keeping your options open. With a ...

Origin Digital today announced it has achieved the Microsoft Advanced Specialization for AI Platform on Microsoft Azure, a highly selective designation that recognizes partners with proven ...

Abstract: Future mobile use cases such as teleoperation rely on highly available mobile networks. Due to the nature of the mobile access channel and the inherent competition, the availability may be ...

"We're bringing the best of both organizations to the public sector market," said Jason Payne, Federal CTO, at Microsoft. "Government organizations using Azure Government can now access the proven, ...

Federal Reserve officials, who are unable to receive U.S. economic statistics because of the continuing government shutdown, recently lost access to a separate measure of employment data from a ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Azure Blob Storage, like any object data service, is a high-value target for threat actors due to its critical role in storing and managing massive amounts of unstructured data at scale across diverse ...

Abstract: In a world where Machine Learning (ML) is increasingly used to make predictions about critical events, such as health outcomes, it is crucial to ensure decision-makers have access to ...