The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...

Your Azure bill is bleeding cash, but AI can be the scalpel that slashes waste, spots spikes and silently saves you thousands before finance sees the damage. Managing cloud costs in Azure has become ...

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 ...

Generative AI models have a larger attack surface than many CSOs might think. Microsoft Azure’s CTO walked through some of the more significant challenges facing developers and defenders. Generative ...

ORLANDO, Florida—A year ago, at HIMSS23 in Las Vegas, Epic announced it was working with Microsoft to integrate large language model tools and AI into its electronic health record software.

Microsoft rolled out a new electronic health records cloud database solution, leveraging Azure Large Instances, that enables health systems to scale capacity for high-volume workloads. In a ...

Microsoft SQL Server Machine Learning Services is a feature that allows you to run Python, R, Java, and other Machine Learning languages in-database, using open-source packages and frameworks for ...

The use of technology for improved automation and security data access is being hailed as key to a successful cloud migration at a major Scandinavian bank. Integration with Databricks and Microsoft ...

Microsoft’s recent Azure Open Source Day showed off a new reference application built using cloud-native tools and services, with a focus on Microsoft’s own open source tools. The app was built to be ...