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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/09/news-from-ignite.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>It's been a big day for the team here at Microsoft, with a flurry of announcements from the <a rel="nofollow" href="https://www.microsoft.com/en-us/ignite/default.aspx" target="_blank">Ignite conference in Orlando</a>. We'll provide more in-depth details in the coming days and weeks, but for now here's a brief roundup of the news related to data science:</p>
<p><strong><a rel="nofollow" href="https://blogs.technet.microsoft.com/machinelearning/2017/09/25/introducing-microsoft-machine-learning-server-9-2-release/" target="_blank">Microsoft ML Server 9.2 is now available</a></strong>. This is the new name for what used to be called Microsoft R Server, and now also includes support for operationalizing the Python language as well as R. This <a rel="nofollow" href="https://www.youtube.com/watch?v=7i19-s9mxJU" target="_blank">2-minute video</a> explains how to deploy models with ML Server (and with this release, <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/whats-new-in-machine-learning-server" target="_blank">real-time scoring</a> is now also supported Linux as well). <a rel="nofollow" href="https://docs.microsoft.com/en-us/machine-learning-server/r-client/what-is-microsoft-r-client" target="_blank">Microsoft R Client</a> 3.4.1, featuring R 3.4.1, was also released today and provides desktop capabilities for R developers with the ability to deploy computations to a production ML Server.</p>
<p><a rel="nofollow" href="https://azure.microsoft.com/en-us/blog/diving-deep-into-what-s-new-with-azure-machine-learning/" target="_blank"><strong>The next generation of Azure Machine Learning is now available</strong></a>. This new service includes the <strong>AML Workbench</strong>, a cross-platform client for AI-powered data wrangling and experiment management; the <strong>AML Experimentation service</strong> to help data scientists increase their rate of experimentation with big data and GPUs, and the <strong>AML Model Management service</strong> to host, version, manage and monitor machine learning models. <a rel="nofollow" href="https://techcrunch.com/2017/09/25/microsoft-launches-new-machine-learning-tools/" target="_blank">This TechCrunch article</a> provides an overview.</p>
<p><a rel="nofollow" href="http://www.zdnet.com/article/review-sql-server-2017-adds-python-graph-processing-and-runs-on-linux/" target="_blank"><strong>SQL Server 2017 is now generally available</strong></a>, bringing support for in-database R and Python to both Windows and Linux.</p>
<p><strong><a rel="nofollow" href="https://azure.microsoft.com/en-us/services/sql-database/" target="_blank">Azure SQL Database</a></strong> now supports <a rel="nofollow" href="https://blogs.msdn.microsoft.com/sqlserverstorageengine/2017/09/25/announcing-general-availability-of-native-scoring-using-predict-function-in-azure-sql-database/" target="_blank">real-time scoring for R and Python</a>, and a preview of <a rel="nofollow" href="https://blogs.msdn.microsoft.com/sqlserverstorageengine/2017/09/25/announcing-preview-of-machine-learning-services-with-r-support-in-azure-sql-database/" target="_blank">general in-database R services</a> is now available as well.</p>
<p><strong><a rel="nofollow" href="https://azure.microsoft.com/en-us/blog/at-ignite-microsoft-is-updating-its-cognitive-services-collection-of-intelligent-apis/" target="_blank">Microsoft Cognitive Services</a></strong> offers new intelligent APIs for developing AI applications, including general availability of the <a rel="nofollow" href="https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/" target="_blank">text analytics API</a> for topic extraction, language detection and sentiment analysis.</p>
<p><strong><a rel="nofollow" href="https://github.com/Microsoft/vscode-tools-for-ai" target="_blank">Visual Studio Code for AI</a></strong>, an extension for the <a rel="nofollow" href="https://code.visualstudio.com/" target="_blank">popular open-source code editor</a>, provides new interfaces for developing with Tensorflow, Cognitive Toolkit (CNTK), Azure ML and more.</p>
<p>Finally, Microsoft announced a <strong><a rel="nofollow" href="https://arstechnica.com/gadgets/2017/09/microsoft-quantum-toolkit/" target="_blank">new high-level language for quantum computing</a></strong> to be integrated with Visual Studio, and a simulator for quantum computers up to 32 qubits. This <a rel="nofollow" href="https://www.youtube.com/watch?v=doNNClTTYwE" target="_blank">2-minute video</a> provides an overview of Microsoft's vision for Quantum Computing.   </p>
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