A deep dive into what’s new with Azure Cognitive Services
Microsoft Build 2019 marks an important milestone for the evolution of Azure Cognitive Services with the introduction of new services and capabilities for developers.
AI + machine learning
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AI-first content understanding, now across more types of content for even more use cases
Today, data isn’t the barrier to innovation, usable data is. -
Introducing new product innovations for SAP HANA, Expanded AI collaboration with SAP and more
We, in partnership with SAP, are very happy to announce multiple enhancements to SAP on Azure at SAPPHIRE NOW. -
Simplifying AI with the new automated machine learning UI
Artificial intelligence (AI) has become the hottest topic in tech. -
Take your machine learning models to production with new MLOps capabilities
At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. -
Accelerate bot development with Bot Framework SDK and other updates
Conversational experiences have become the norm, whether you’re looking to track a package or to find out a store’s hours of operation. -
Visual interface for Azure Machine Learning service
During Microsoft Build we announced the preview of the visual interface for Azure Machine Learning service. -
A look at Azure’s automated machine learning capabilities
The automated machine learning capability in Azure Machine Learning service allows data scientists, analysts, and developers to build machine learning models with high scalability, efficiency, and productivity all while sustaining model quality. -
Building a better asset and risk management platform with elastic Azure services
Elasticity means services can expand and contract on demand. -
Using Text Analytics in call centers
Azure Cognitive Services provides Text Analytics APIs that simplify extracting information from text data using natural language processing and machine learning. -
Build more accurate forecasts with new capabilities in automated machine learning
Build more accurate forecasts with the release of capabilities in automated machine learning.
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