In the world of manufacturing, the Industrial Internet of Things (IIoT) has come, and that means data. A loT of data. Smart machines, equipped with sensors, add to the large quantity of data already generated from quality systems, MES, ERP and other production systems.
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.
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 to allow any organization with a large archive of media content to unlock insights from their content.
Want to train Video Indexer to recognize people relevant specifically to your account? We have great news for you!
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. This week, we are excited to announce two integrations that Microsoft and NVIDIA have built together to unlock industry-leading GPU acceleration for more developers and data scientists.
Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds.
Azure Machine Learning service is the first major cloud ML service to support NVIDIA’s RAPIDS, a suite of software libraries for accelerating traditional machine learning pipelines with NVIDIA GPUs.