Microsoft SPAmatch Tampere, March 6, 2015
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The document summarizes a HealthSPA Tampere meetup on March 6, 2015. It discusses how Microsoft and startups can work together to disrupt healthcare through innovations in smart data, hardware, and software. Specific technologies mentioned that could help lower barriers to creating intelligent systems include Windows 10 IoT, Azure PaaS, PowerBI, and Azure Machine Learning. Devices like Kinect, Band, and HoloLens are also discussed for their healthcare applications and developer SDKs.
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- Information rights management and eDiscovery features that automatically categorize and restrict data based on policies.
- A consistent experience across devices through desktop virtualization which mirrors the "at work" experience remotely.
- The ability to quickly design a fully responsive and mobile-enabled workspace in SharePoint that can be accessed from any device.
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Microsoft SPAmatch Tampere, March 6, 2015
- 1. HealthSPA Tampere meetup / March 6 2015 Petro Soininen petro.soininen@microsoft.com / @petrosoininen +358 50 486 9661 Disrupting health care with smart data, hardware and software innovation
- 4. Microsoft? Startups / ISVs – Supporting you as you grow www.microsoft.com/bizspark/ Toni Perämäki / a-topera@microsoft.com Enterprise / Institution / Government
- 5. Me and my crew? We work on problems that enable us to future-proof Microsoft.
- 12. Key boundaries • Equality • Privacy – ISO 27018 is a good start • Regulations • Legacy
- 15. Taming the disruption themes Lower the barrier for creating truly intelligent systems Expose access to innovative devices as part of your system
- 16. Lowering the barrier for creating truly intelligent systems E.g. How do you create a high scale IoT service and offer it as SaaS? Roll your sleeves, hack local sensor hubs, spin up VMs plus create spaghetti to ingest and visualize 100M events per second? Oh, and take care of authentication and security as well? …or let e.g. Windows 10 IoT, Azure PaaS enablers and PowerBI ease the pain?
- 17. Lowering the barrier for creating truly intelligent systems E.g. How do you tie high scale custom forecasting to your Excel data analysis workflow? Spend a fortune on Matlab licenses and manage the machines needed for running data crunching? …or directly use ready made or custom algorithms and models from Azure Machine Learning?
- 19. Kinect Image, depth and IR sensing Sound input Developer SDK
- 20. Kinect Rehab, patient monitoring applications already today Hand Tracking experiment exposes new interaction model options
- 21. Band Sleuth of sensors – e.g. movement, heart rate, skin temperature, UV Developer SDK
- 22. HoloLens Holographic headset and computing platform for integrating holograms to the physical world