AI + machine learning

Whether you’re just starting off in tech, building, managing, or deploying apps, gathering and analyzing data, or solving global issues —anyone can benefit from using cloud technology.

After sweeping up multiple awards with the general availability release of Azure Media Services’ Video Indexer, including the 2018 IABM for innovation in content management and the prestigious Peter Wayne award, the team has remained focused on building a wealth of new features and models

Stories entertain us, make us laugh and cry, and are the lens through which we perceive our world. In that world, increasingly overloaded with information, they catch our attention and, if they catch our hearts, we engage.

Everyone’s talking about machine learning (ML). Business decision makers are finding ways to deploy machine learning in their organizations. Data scientists are keeping up with all the advancements, tools, and frameworks available.

Want to train Video Indexer to recognize people relevant specifically to your account? We have great news for you!

Azure Search is an AI-powered cloud search service for modern mobile and web app development. Azure Search is the only cloud search service with built-in artificial intelligence (AI) capabilities that enrich all types of information to easily identify and explore relevant content at scale.

Microsoft creates deep, technical content to help developers enhance their proficiency when building solutions using the Azure AI Platform.

As companies increasingly look to transform their businesses with AI, we continue to add improvements to Azure AI to make it easy for developers and data scientists to deploy, manage, and secure AI functions directly into their applications.

Along with the general availability of Azure Data Box Edge that was announced today, we are announcing the preview of Azure Machine Learning hardware accelerated models on Data Box Edge.

With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale.