What is Machine Learning?

1. Microsoft Azure MLFranck MercierArchitecte Solutions | DX | Microsoft France@FranmerMShttp://aka.ms/franck

2. Whatis Machine Learning? “ Delivering on one of the old dreams of Microsoft co-founder Bill Gates: Computers that can see, hear and understand. John PlattDistinguished scientist at Microsoft Research Computing systems that improve with experience ”

3. Whatis Machine Learning? The United States Postal Service processed over 150 billion pieces of mail in 2013—far too much for efficient human sorting. But as recently as 1997, only 10% of hand-addressed mail was successfully sorted automatically.

4. Whatis Machine Learning? The challenge in automation is enabling computers to interpret endless variation in handwriting

5. Whatis Machine Learning? Training examples Accurate digit classifier Machine learning system 2 Training labels

6. Whatis Machine Learning? By providing feedback, the Postal Service was able to train computers to accurately read human handwriting. Today, with the help of machine learning, over 98% of all mail is successfully processed by machines.

7. Microsoft & Machine Learning20years of realizing innovation 1999 2004 2005 2008 2010 2012 2014 Computers work on users behalf, filtering junk email Microsoft search engine built with machine learning SQL Server enables data mining of databases Bing Maps ships with ML traffic-prediction service Microsoft Kinect can watch users gestures Successful, real-time, speech-to-speech translation Microsoft launches Azure Machine Learning, making years of innovation available Machine learning is pervasive throughout Microsoft products. “ John Platt, Distinguished scientist at Microsoft Research ”

8. Azure Machine Learning: How it works Azure Machine Learning offers a data science experience that is directly accessible to business analysts and domain experts, reducing complexity and broadening participation through better tooling. Hans KristiansenCapgemini “ • Enable custom predictive analytics solutions at the speed of the market ”

9. Machine learning todayComplexities in a nascent market Huge set-up costs create unnecessary barriers to entry Break away from industry limitations • With our solution you literally need just a Microsoft Azure subscription Siloed and cumbersome data management restricts access to data Our ML solution contains its own storage space in the cloud and is seamlessly connected to HDInsight, SQL Server in a Virtual Machine, SQL Database, Blobs and Tables Complex and fragmented tools limit participation in exploring data and building predictive models With our solution data scientists can share their workspaces with colleagues securely with a click. Many models never achieve business value due to difficulties with deploying to production Most revolutionary of all, our models can be deployed to production in minutes, allowing data scientists to show value to the business at the speed of the market.

10. One solution for Machine Learning — from data to results PowerBI/Dashboards Business users easily access results:from anywhere, on any device Web Apps Mobile Apps • ML API serviceand the Developer • Tested models available as an url that can be called from any end point • ML Studio and the Data Scientist • Access and prepare data • Create, test and train models • Collaborate • One click to stage for production via the API service • Azure Portal & ML API serviceand the Azure Ops Team • Create ML Studio workspace • Assign storage account(s) • Monitor ML consumption • See alerts when model is ready • Deploy models to web service HDInsight Azure Storage Desktop Data

11. La suite Learn more and sign up for a free trial of Azure azure.com/ml Azure ML is the future of Analytics. It seamlessly brings together statistics/mathematics with ML, AI, and advances in data storage and computing. Corey CoscioniWest Monroe Partners, LLC “ ”

12. Azure ML