AI + machine learning

Today at Spark AI Summit 2019, we’re excited to introduce a new set of models in the SparkML ecosystem that make it easy to leverage the Azure Cognitive Services at terabyte scales.

Cloud optimization is critical to ensuring you get the most out of your Azure investment, especially in complex environments with many Azure subscriptions and resource groups.

Move your data from AWS S3 to Azure Storage using AzCopyAzCopy v10 (Preview) now supports Amazon Web Services (AWS) S3 as a data; Announcing general availability of Apache Hadoop 3.

The QnA Maker service lets you easily create and manage a knowledge base from your data, including FAQ pages, support URLs, PDFs, and doc files.

Optimizing your cloud workloads can seem like a complex and daunting task. We created Azure Advisor, a personalized guide to Azure best practices, to make it easier to get the most out of Azure.

DevOps is the union of people, processes, and products to enable the continuous delivery of value to end users. DevOps for machine learning is about bringing the lifecycle management of DevOps to Machine Learning.

When it comes to executing a machine learning project in an organization, data scientists, project managers, and business leads need to work together to deploy the best models to meet specific business objectives.

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.

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.

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

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!