1. IoT Primer Stephen Bates seb@osisoft.comseb@osisoft.com | +1 202-730-9760 http://www.linkedin.com/in/batess Energy Huntsville: Tues 15 Dec 2015 1

2. What would life be like without electricity?

3. What if you didn’t have any water?

4. How would work change without the internet?

5. How complex would your business be without data?

6. Without visibility into your data what direction would you take?

7. What if you couldn’t understand your data? 

8. 8 “ The Industrial Awakening will generate $14.2 trillion of global output by 2030. ” KleinerPerkins

9. IoT will significantly affect every vertical Agriculture Connected home Defense Financial services Food services Healthcare Hospitality Infrastructure Insurance Logistics Manufacturing Oil, Gas, and Mining Retail Smart buildings Transportation Connected car Utilities 9

10. Glossary…. Internet of Things: A network of internet-connected objects able to collect and exchange data using embedded sensors. Internet of Things device: Any stand-alone internet- connected device that can be monitored and/or controlled from a remote location. Internet of Things ecosystem: All the components that enable businesses, governments, and consumers to connect to their IoT devices, including remotes, dashboards, networks, gateways, analytics, data storage, and security. Entity: Includes businesses, governments, and consumers. Physical layer: The hardware that makes an IoT device, including sensors and networking gear. Network layer: Responsible for transmitting the data collected by the physical layer to different devices. 10

11. Glossary continued… Application layer: This includes the protocols and interfaces that devices use to identify and communicate with each other. Remotes: Enable entities that utilize IoT devices to connect with and control them using a dashboard, such as a mobile application. They include smartphones, tablets, PCs, smartwatches, connected TVs, and nontraditional remotes. Dashboard: Displays information about the IoT ecosystem to users and enables them to control their IoT ecosystem. It is generally housed on a remote. Analytics: Software systems that analyze the data generated by IoT devices. The analysis can be used for a variety of scenarios, such as predictive maintenance. Data storage: Where data from IoT devices is stored. Networks: The internet communication layer that enables the entity to communicate with their device, and sometimes enables devices to communicate with each other. 11

12. Sources Intelligence Business Insider Vendor Competitive Intelligence Gartner: Internet of Things Verizon: Internet of Things 2015 Cisco: Internet of Everything Mary Meeker Internet Trends Report, Kleiner-Perkins Mobile World Congress 2015 O’Reilly SOLID Interviews with trusted authoritative data sources 12

13. Cloud, Mobility, Social, Big Data, Analytics Millennials, blah, blah, blah… 13

14. Gartner Internet of Things Hype Cycle 14

15. 1957: 13 men delivering a computer 2017: a person may wear 13 computing devices 15

16. Wearables will get the most press…. 16

17. Parking is a great IoT example Parking availability IoT Networked sensors Mobile payments vs coin Auto-updates boards, smartphones Usage metrics 17 * SFO car rental 37/day. SF hotel parking 54/day.

18. Internet Trends for 2015 – Mary Meeker typically released end of May Focus on findable and shareable data, generated by mobile devices and sensors 5 platforms, photo sharing quadrupled over last year…set to rise by 600M per day from 1.2B to 1.6B Fitness tracking: 47B steps 2013 to 2.4T in 2014 800M swipes per day on Tinder 18 ….As well as being uploadable and sharable, the data is findable. That means it can be mined, and "has potential to yield patterns that help solve basic [or] previously unsolvable problems, but create new challenges related to individual rights".

19. 19 Businesses -- not consumers, will be biggest adopters of the IoT

20. What can sensors measure? Position Occupancy and Motion Velocity and Acceleration Force (tacile and threshold) Pressure (force per unit) Flow (volume and rate) Acoustic (digital or analog) Humidity (absolute/relative) Light Radiation Temperature Chemical (type/concentration) Biosensors (enzymes, acids..)

21. Can you see the problem? 4:301766.8071770.0411735.5841712.0941748.9541760.2491756.5131746.8131751.224 4:451782.5931783.5821740.0051713.6251763.21776.2021772.5231762.4321765.907 5:001804.6191804.3111753.2021722.1051782.7871798.31796.2141783.1991785.155 5:151851.6971851.9831775.2651738.8781833.1211848.0691846.021832.9591832.181 5:301891.1731889.4031791.7791749.4281874.771890.1691887.1941871.3831867.261 5:451918.681914.8491803.5381749.2291901.1051913.3181905.9741891.4611883.946 6:001927.7511928.1281797.3341736.3431917.2931927.7591919.7871900.4531889.87 6:152001.6372003.8041827.4631753.161994.7412006.4151996.2891975.2211958.406 6:302054.952058.0361848.3211764.3492050.1962060.0412051.0252028.242008.001 6:452112.2582103.881872.5491778.8432095.1312102.3282094.2922072.5292050.109 7:002160.6292137.3861888.9321790.6022135.8882143.7322138.5942116.4362091.379 7:152232.5162211.8391943.3591834.5182220.9432225.6542219.6142192.2662166.789 7:302267.8122254.5371978.2181865.1472270.1422268.7462261.5282233.3582211.937 7:452294.7742288.2512006.2331889.3592308.1422303.4872294.1722266.282249.907 8:002325.942322.892040.281920.232345.2822336.9932324.8382299.4742286.259 8:152370.6212371.5342099.0761970.1892400.8572389.8882377.0862352.5182342.512 8:302398.0122401.1692140.3962007.3062437.1422420.3442408.7942385.1622377.984 8:452427.2692429.596217.2612038.4432468.242449.5272436.2732415.0562409.495 9:002452.3562457.2492208.3522074.0632499.2392478.3012465.4812444.8792441.46 9:152490.6272502.2162255.252117.8352544.7852520.4632509.1262488.0762487.573 9:302521.5972540.4632288.5212151.3652584.22557.2042550.5182526.2442525.164 9:452551.8442575.422321.1382182.9952621.0572593.6612588.4342561.9012560.209 10:002588.2982611.4752350.4992213.8572655.3572626.7722622.8222596.662594.748 10:152619.032650.9112388.7682256.9562699.7022668.7772666.8282638.9442637.933 10:302645.6522678.5062411.0972283.2472724.452695.7792698.5032667.6952667.878 10:452668.1842703.6422430.1732307.0432749.0662720.2542725.1962691.4542693.37 11:002682.5642718.0792442.6082324.4052763.2422733.8372741.9582709.3032710.661 11:152705.3872736.6482461.4282349.5432780.9642750.5942762.5982728.4872728.311 11:302715.5912742.2622472.0072365.6562788.9492764.6532778.6972743.692742.778 21

22. How about now? 22

23. The right visualizations make information consumable 23 Operational view Process view Geospatial view

24. What business benefits are gained by IoT? Asset Health Quality Control Regulatory Compliance Safety and Security Utilization Rates Process Efficiency 24

25. Thoughts on The IoT Cloud Enables Big Data Big Data is generated from multiple sources, humans, computers, sensors, beacons, IoT Big Data enables Analytics ….if it is secure and the data can be trusted. Analytics Transform business and provide competitive advantage …enabling speed to decision, via human or machine. 25

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