Microsoft has expanded the data-analysis offerings on its Azure cloud, offering a machine learning service to help organizations derive more insight from mountains of unstructured data. The new ...

MLOps, or DevOps for machine learning, is bringing the best practices of software development to data science. You know the saying, “Give a man a fish, and you’ll feed him for a day… Integrate machine ...

A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity researchers. The flaw allows attackers with only Storage Account access to ...

Microsoft recently announced a pair of new Azure virtual machine (VM) options designed to accommodate the intense compute demands of modern -- specifically, AI -- workloads. The new Azure ND H200 v5 ...

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and an excellent playground for experimenting with agents. At first glance, ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Not all machine learning courses and certifications are equal. Here are five certifications that will help you get your foot in the door. Machine learning (ML) skills are in high demand, as ...

Community driven content discussing all aspects of software development from DevOps to design patterns. These DP-100 questions are focused on commonly misunderstood Azure Machine Learning concepts. If ...

Your data science teams want Kubeflow for its pipeline orchestration, metadata tracking, and training operators, so you build ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...