PASS BA Virtual Chapter Presents: “Rise of the Machine (Learning)” November 18,

PASS Business Analytics Virtual Chapter Chapter Leader – Dan English Dan is a Microsoft SQL Server MVP, author, on the leadership team for the MN Microsoft BI User Group, and is the Senior Data Warehouse Architect at Constellation, Inc. in MN. Chapter Co-Leader – Paras Doshi Paras started out with the chapter as VP of marketing helping double the membership base in 9 months and then transitioned into his current leadership role. Paras is passionate about helping businesses extract valuable insights from data and currently works as BI Architect at Thomas Jefferson University Hospitals PASS Business Analytics Virtual Chapter Twitter YouTube Channel

Select Virtual Chapter Meetings more events and info at sqlpass.org/events VIRTUAL CHAPTERMEETINGTOPIC VirtualizationNov 18 12:00-13:00 UTC-05:00Architecting Virtual Environments for Business Intelligence Global SpanishNov 18 12:00-13:00 UTC-05:00JSON Support en SQL Server 2016 presented by Carlos Andres Ulate Hernandez Business AnalyticsNov 18 12:00-13:00 UTC-05:00Rise of the Machine (Learning) – Azure ML in BI, in Apps, and as a product in Azure Marketplace presented by Greg Beaumont HealthcareNov 19 13:00-14:00 UTC-05:00Health Plan – Payer Analytics: Uncover Insights, Reveal Trends, and Take Action presented by Carrie Nielsen PerformanceNov 19 14:00-15:00 UTC-05:00Optimizing your data warehouse for OLAP Processing presented by Konstantin Melamud Saturday Night SQLNov 21 21:00-22:00 UTC-05:00Reporting Tool Efficiency Discussion Global SpanishNov 25 12:00-13:00 UTC-05:00Vista 360 grados de DataZen presented by Juan Alvarado

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November 18 – Rise of the Machine (Learning) Abstract Machine Learning no longer requires expensive infrastructures and knowledge of specialized statistical coding languages. Azure ML lowers the barriers of entry for predictive analytics using Machine Learning. In this session, review the similarities and differences of Machine Learning compared to traditional Predictive Analytics, Data Mining, Data Science, and Artificial Intelligence. Learn how to integrate predictive analytics into your existing analytics and reporting strategy and infrastructure. I will demonstrate how a BI solution using only Excel with Power Pivot can connect to an Azure ML Model in the cloud for predictions and new types of analysis. Learn how Azure ML can be used to add value to Apps. Also, review ways to turn your Azure ML Model into a source of revenue using Azure Marketplace. Machine Learning is now quietly rising all around us as it integrates with technology, improves processes and workflows, and transforms how data drives business. Empower your organization with new competitive advantages using Azure ML. Presenter Greg Beaumont has been working as a consultant using Microsoft BI tools since 2007, and I have experience with a wide array of industry verticals including but not limited to healthcare, manufacturing, Government, and Six Sigma. My preferred areas of focus are Data Science, data visualization, data modeling, and designing analytic solutions.