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Azure is the best place for analytics

The confluence of cloud, data, and AI is foundational to innovation and is driving unprecedented change. This week at Spark + AI Summit, I talked about how Microsoft enables organizations to take advantage of Azure to build advanced machine learning ... continue reading
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Azure.Source – Volume 30

Microsoft Build 2018 is just a few days away on May 7-9. Whether you can’t make it to Seattle or you just want to enhance your on-the-ground experience at the event, Microsoft Build Live brings you live as well as ... continue reading

Microsoft extends AI support to PyTorch 1.0 deep learning framework

Today Microsoft is announcing the support for PyTorch 1.0 in Azure Machine Learning Services and Data Science Virtual Machine. PyTorch 1.0 takes the modular, production-oriented capabilities from Caffe2 and ONNX and combines them with PyTorch's existing flexible, research-focused design to ... continue reading
How artificial intelligence stopped an Emotet outbreak

How artificial intelligence stopped an Emotet outbreak

At 12:46 a.m. local time on February 3, a Windows 7 Pro customer in North Carolina became the first would-be victim of a new malware attack campaign for Trojan:Win32/Emotet. In the next 30 minutes, the campaign tried to attack over ... continue reading
#Microsoft Project Olympus #Cloud hardware #Innovation at Scale in #Azure

#Microsoft Project Olympus #Cloud hardware #Innovation at Scale in #Azure

Microsoft’s Project Olympus delivers cloud hardware innovation at scale. Deployed in Azure Project Olympus hardware is now deployed in volume production with the Fv2 virtual machine (VM) family. The Fv2 family are the fastest VMs in Azure and offer the ... continue reading
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Getting Started with #Azure Data Science Virtual Machine on Windows 2016 #DSVM #winserv #VSTS #DevOps

The Data Science Virtual Machine (DSVM) is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development. Highlights: Microsoft R Server – Dev. Ed. (Scalable R) Anaconda Python SQL Server 2017 Dev ... continue reading
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Serving AI with Data: A Summary of Build 2017 Data Innovations

This post was authored by Joseph Sirosh, Corporate Vice President, Microsoft Data Group This week at the annual Microsoft Build conference, we are discussing how, more than ever, organizations are relying on developers to create breakthrough experiences. With big data, ... continue reading

Python in SQL Server 2017: enhanced in-database machine learning

We are excited to share the preview release of in-database analytics and machine learning with Python in SQL Server. Python is one of the most popular languages for data science and has a rich ecosystem of powerful libraries. Starting with ... continue reading
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Delivering AI with data: the next generation of Microsoft’s data platform

This post was authored by Joseph Sirosh, Corporate Vice President, Microsoft Data Group Leveraging intelligence out of the ever-increasing amounts of data can make the difference between being the next market disruptor or being relegated to the pages of history ... continue reading
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