Sensors, Wearables and the Internet of Things: A Revolution in the Making
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This document discusses the emerging field of sensors, wearables, and the Internet of Things. It describes how physical devices are increasingly being connected to networks and being able to both sense data and communicate. This represents a transition to the "Internet of Things" where not just computers and people but physical objects are part of the network. The document outlines several industries that will be impacted and technologies enabling this transition like mobile connectivity, open source platforms, and new applications across various verticals. It poses questions about what challenges may emerge as more of the physical world becomes networked and quantifiable.
Sensors, Wearables and the Internet of Things: A Revolution in the Making
- 1. Sensors, Wearables and The Internet of Things: A Revolution in the Making IIS 2014: Breakthrough @mattturck January 29. 2014
- 2. Matt Turck Twitter: @mattturck Blog: http://mattturck.com Making Sense Of The Internet Of Things Posted May 25, 2013 The Battle For The Connected Home Is Heating Up Posted Nov 23, 2013
- 3. Our physical world is changing.
- 4. All sorts of devices are appearing.
- 6. And it’s only accelerating.
- 7. At first, a lot of it felt like toys and science projects.
- 8. First validation point: The $3.2 billion thermostat
- 9. Hype "Biggest Business in the History of Electronics“ (Fairchild) “$19 trillion market” (Cisco) “$8.9 trillion market in 2020, 212 billion connected things” (IDC)
- 10. Internet 1.0: Connecting computers to the network
- 11. Internet 2.0: Connecting People to the Network
- 12. Internet 3.0: Connecting everything else to the network
- 13. Internet of Things Internet of Everything Connected Devices Industrial Internet Machine to Machine (M2M)
- 14. Not just things.
- 15. Not just the Internet.
- 16. Not just “gadgets” Manufacturing floors Energy grids Healthcare facilities Transportation systems
- 17. All things become data.
- 18. Everything becomes quantifiable (One way interaction)
- 19. Everything becomes programmable (Two way interaction)
- 20. Everything becomes social (Network Interaction)
- 21. All industries are impacted. Consumer goods Industrials Consumer services Energy Banking/Insurance Manufacturing Manufacturing Technology Healthcare Transportation
- 22. Every company becomes a software (and information) company.
- 25. Open Hardware.
- 26. Crowdfunding.
- 27. 3D Printing for Prototyping.
- 28. 3D Printing Green tech Automotive Energy Efficiency Pets Robotics Retail Home Automation Leisure Wearable Computing Healthcar e Fitness Industries © Matt Turck (@mattturck), Sutian Dong (@sutiandong) & FirstMark Capital (@firstmarkcap) Distributio n Smart Grid Infrastructure Tracking M2M New Interfaces Agriculture Home Security Music Toys Health Connected Home Funding Open Garde n Telecom Garden ing Family Lifestyle Incubators Networks 2G 3G 4G RuBee 6LoWPAN LWM2M Connectivity Open Source Platforms Corporates Security Sensor Networks Software Platforms Nimbits Services Parts /Kits Protocol s Quantified Self Hardware Mobile Software Platforms & Enablement (Horizontals) INTERNET OF THINGS LANDSCAPE VERSION 2.0 Applications (Verticals) Industrial Internet Asset Tracking Building Blocks Anvil
- 31. Wearables.
- 33. Robotics.
- 35. Security – Huge!
- 36. Infrastructure. The “Internet of my living room” or a true global network?
- 37. What happens next? The good: More excitement, more startups, more funding, more exits The bad: funded products that never make it to market (hardware is hard), hacking incidents, privacy disasters Eventually: Lots of value creation, consolidation In 10 years: ubiquity and invisibility
- 38. Exciting area for entrepreneurs.
Editor's Notes
- #2: This is going to be a talk for people who love the internet.
- #7: Harvard creates brain-to-brain interface, allows humans to control other animals with thoughts alone
- #11: We build the system on this data, and then scale it for production use.
- #18: .We build the system on this data, and then scale it for production use.