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Inspire 2017 - Data Community Insiders - Acceleration of IoT
- 2. The Acceleration of IoT Mike Branstein Director of Applications Development Microsoft Inspire 2017
- 3. Personal Computing Smart Phones 1st Technology Generation Maker Culture Open Source Inexpensive Hardware Platforms, APIs, SDKs, CLIs Moore’s Law Battery Technology Inter- connectedness Data Storage Cloud IoT Acceleration Factors
- 4. A Generation that only knew Technology Personal Computing’s Rise 1980’s and 1990’s setup the 2000’s for laptops 1999 First Smart Phones By 2003 – 2006, widespread adoption 2003 iPhone development began We built a generation that didn’t need to tinker Personal Computing Smart Phones 1st Technology Generation
- 5. Maker culture revitalized “tinkering” 2006 was the year Maker Faire was founded Open Source Growing Open source hardware: Arduino Open source software: CodePlex, GitHub Feedback Loop Greater use of Hardware Platforms, APIs, SDKs, CLIs Maker culture and sharing Accessibility
- 6. Open Source and Maker Feedback Loop Opened new opportunities for business Arduino, 2003 Raspberry Pi Accessible Platforms Systems become more composable Size 18pt for the subtopics Moore’s Law Computing power (circuit density) doubling every 2 years Size 18pt for the subtopics Greater use of Hardware Platforms, APIs, SDKs, CLIs Maker culture and sharing Accessibility
- 7. Increased density across industries Power density Lithium Ion Longer life, smaller form factors Shorter recharge Widespread higher-speed connections Standards for connectivity arose: WiFi, Bluetooth, etc. Drove data storage needs Also contributing to data Cost, $18/GB in 2000 to $0.04/GB in 2017 Cloud data storage Access speeds then drove bandwidth needs Cloud It’s a new API for composing systems together Reduced price and increased accessibility for innovation Battery Technology Inter- connectedness Data Storage Cloud
Editor's Notes
- Imagine it’s 20 years ago: it's the golden age of Web 2.0. You want to build an internet-connected solution that bridges tens of thousands of connected devices and a mobile app. But, mobile apps (as we know it today) don't exist, and supporting that many devices streaming data concurrently is expensive. How long would it take to prototype a solution? Days, weeks, months, and what does the transition from prototype to production look like? We'll explore the factors making this solution possible in days, where it would have taken months 20 years ago. Factors: Battery power Size Affordability Capacity Li-Ion Small commodity hardware – Rpi (2012), Arduino (2003), based on open-source standards Interconnectedness – cable, broadband, connected Bandwidth Availability Open source Hardware - Arduino platform Sharing platforms Codeplex - 2006 Github Cross-Platform Standards – HTTP, JSON, XML, WiFi, Bluetooth, etc. Bandwidth drives data – we’ll always fill the pipe and stretch it Or does the data drive the bandwidth? What can we measure now that wasn’t possible before Data storage Speed of access increase Reduced cost Cloud computing APIs Open source movement Rise of sharing SDKs, APIs, CLIs Cloud system composition Maker culture The new generation of open source Modern subculture that is a technology-based extension of DIY Reaction to physical devaluation of exploration – taking devices for granted There’s been an explosion in the number and attendance since 2006: http://makerfaire.com/media-center/#fast-facts Rise of the smart phone As technology become too accessible for the every day person, it caused a revolution for the masses We forgot how to repair technology We’ve become a society of consumers – phone’s broke, get another one First Generation that didn’t have to struggle with technology