5. Delivering on one of the old dreams of Microsoft co-founder Bill Gates: Computers that can see, hear and understand. John Platt Distinguished scientist at Microsoft Research What is Machine Learning? Computing systems that become smarter with experience “Experience” = past data + human input “ ”

6. Bing maps launches What’s the best way home? Microsoft Research formed Kinect launches What does that motion “mean”? Azure Machine Learning launches What will happen next? Hotmail launches Which email is junk? Bing search launches Which searches are most relevant? Skype Translator launches What is that person saying? Microsoft & Advanced Analytics Answering questions with experience John Platt, Distinguished scientist at Microsoft Research 1991201420091997201420102008 Machine learning is pervasive throughout Microsoft products. “ ”

7. How Are We Different? Enable custom predictive analytics solutions at the speed of the market The main benefit we have experienced is that everything is in one place. Data is stored in the same place that hosts computations on the data. Corey Coscioni West Monroe “ ”

8. Huge set-up costs of tools, expertise, and compute/storage capacity create unnecessary barriers to entry Siloed and cumbersome data management restricts access to data Complex and fragmented tools limit participation in exploring data and building models Many models never achieve business value due to difficulties with deploying to production Expensive Siloed data Disconnecte d tools Deployment complexity Break away from industry limitations

11. This is Karl. Karl owns a company that operates vending machines in Washington state. His job is to make sure that his 100 vending machines are selling drinks & obtaining revenue. Karl wants revenue to always be high & his business to be profitable

12. Sadly, vending machine will occasionally break & may take up to 7 days to fix, thus hurting sales. To eliminate this occurrence, Karl must maintain operations & figure out the best way to utilize resources in order to optimize revenue.

13. 3. How Do We Plan Maintenance? 1. Which Machines Have Failed? 2. Which Machines Will Soon Fail?

14. ML Studio API M

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18. Predictive maintenance

19. “ Microsoft has a long history of making complicated technology simple to use. Love it or hate it, Microsoft has done more to democratize technology than any other vendor. Matt Asay on InfoWorld VP of Mobile at Adobe ”