What’s new in Azure Machine Learning service
Today we are very happy to release the new capabilities for the Azure Machine Learning service.
AI + machine learning
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Getting AI/ML and DevOps working better together
Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations. -
Video Indexer – General availability and beyond
Earlier today, we announced Video Indexer as generally available. -
Current use cases for machine learning in retail and consumer goods
This blog was co-authored by Marty Donovan. -
Two seconds to take a bite out of mobile bank fraud with Artificial Intelligence
The future of mobile banking is clear. People love their mobile devices and banks are making big investments to enhance their apps with digital features and capabilities. -
Turn your whiteboard sketches to working code in seconds with Sketch2Code
User interface design process involves a lot a creativity that starts on a whiteboard where designers share ideas. -
Speech Services August 2018 update
We are pleased to announce the release of another update to the Cognitive Services Speech SDK (version 0. -
Current use cases for machine learning in healthcare
Machine learning (ML) is causing quite the buzz at the moment, and it’s having a huge impact on healthcare. -
Azure Search – Announcing the general availability of synonyms
Today we are announcing the general availability of synonyms. -
Reasons why retail and consumer goods brands should address Artificial Intelligence today
The digital experience (DX) era is here, and AI is one of the primary technologies to fuel productivity and innovation in the retail and consumer goods industry. -
Autocomplete in Azure Search now in public preview
Today, we are happy to announce public preview support for autocomplete in Azure Search, one of our most requested features on UserVoice. -
Structured streaming with Azure Databricks into Power BI & Cosmos DB
In this blog we’ll discuss the concept of structured streaming and also how to build a data ingestion path directly using Azure Databricks enabling the streaming of data in near-real-time.
Explore Microsoft Foundry
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