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IEEE CS Phoenix - Internet of Things Innovations & Megatrends Update

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Mark Goldstein, President of International Research Center explored the next Internet wave, the Internet of Things (IoT), expected to connect tens of billions of new sensors and devices in the coming years. Waves of change will roll through home, business, government, industrial, medical, transportation, and other complex ecosystems. Mark examined how IoT will be implemented and monetized creating new business models from pervasive sensor deployments and data gathering, accompanied by new privacy and security risks. Explore IoT’s roadblocks and operational challenges, emerging standards and protocols, gateway and wireless integration, and big data strategies and opportunities in this presentation.

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IEEE CS Phoenix - Internet of Things Innovations & Megatrends Update

  1. 1. Internet of Things (IoT) Innovations & Megatrends Update Wednesday, December 13, 2017 Mark Goldstein, International Research Center PO Box 825, Tempe, AZ 85280-0825, Phone: 602-470-0389, markg@researchedge.com, URL: http://www.researchedge.com/ Presentation Available at http://www.slideshare.net/markgirc © 2017 - International Research Center Arizona Chapter Phoenix Chapter http://ewh.ieee.org/r6/phoenix/compsociety/
  2. 2. Internet of Things (IoT) Presentation Outline IoT Overview and Ecosystems IoT Computing Platforms and Sensors IoT Gateways, Programming, and Platforms IoT Network Connections IoT Application Arenas • Consumer and Home Automation • Healthcare and Life Science • Retail and Logistics • Industrial Internet of Things (IIoT) • Smart Buildings • Smart Cities and Environment • Transportation IoT Security, Privacy, and Blockchain IoT Standards and Organizations IoT Big Data, Applications, and Analytics IoT Business Models and Outlook
  3. 3. IoT Overview and Ecosystems
  4. 4. https://en.wikipedia.org/wiki/The_Third_Wave_(Toffler_book) (1980)
  5. 5. Source: Teradata Corporation Internet of Things Basics
  6. 6. Source: Postscapes (http://postscapes.com/)
  7. 7. Source: Postscapes (http://postscapes.com/)
  8. 8. Source: Postscapes (http://postscapes.com/)
  9. 9. Source: IDC & Peplink 2015 IoT Vision
  10. 10. Source: TE Connectivity IoT Adoption Landscape
  11. 11. IoT Solutions Architecture Source: TechBeacon (https://techbeacon.com/4-stages-iot-architecture)
  12. 12. Source: CompTIA
  13. 13. https://thumbs.dreamstime.com/z/internet-things-word-cloud-words-which- related-to-concept-iot-refers-to-uniquely-38616417.jpg
  14. 14. IoT Computing Platforms
  15. 15. The Exponential Curve of Technological Innovations Leading Up to the Singularity
  16. 16. http://www.intel.com/content/www/us/en/ embedded/embedded-design-center.html
  17. 17. Arduino Mega 2560 Raspberry Pi 2 Model B Nwazet Pi Media Center Night Vision Camera Modules MicroSD Card Adapter BLE Mini Bluetooth 4.0 Interface Arduino, Raspberry & Other Microcontrollers Ultimate GPS Breakout UDOO Quad Core w/SATA
  18. 18. 16GB NOOBS SD Card Raspberry Pi Camera Board PiFace Relay+ https://www.element14.com/community/community/raspberry-pi/
  19. 19. AT&T Dedicated IoT Starter Kit for Amazon Web Services https://starterkit.att.com/
  20. 20. https://www.raspberrypi.org/products/pi-zero/ The Raspberry Pi Zero is half the size of a Model A+, with twice the utility. A tiny Raspberry Pi that’s affordable enough for any project! • 1Ghz, Single-core CPU • 512MB RAM • Mini HDMI & USB On-The-Go ports • Micro USB power • HAT-compatible 40-pin header • Composite video & reset headers • Can utilize Raspbian Jessie OS Adafruit Raspberry Pi Zero Starter Pack http://www.adafruit.com/products/2816 65 mm x 30 mm x 5 mm
  21. 21. http://www.ti.com/product/cc2541 The Texas Instruments CC2541 is a power- optimized true system-on- chip (SoC) solution for both Bluetooth low energy and proprietary 2.4-GHz applications. It enables robust network nodes to be built with low total bill- of-material costs. The CC2541 combines the excellent performance of a leading RF transceiver with an industry-standard enhanced 8051 MCU, in- system programmable flash memory, 8-KB RAM, and many other powerful supporting features and peripherals. The CC2541 is highly suited for systems where ultralow power consumption is required. TI CC2541 SOC
  22. 22. Intel’s Edison computer is housed in an SD card form factor and comes with built- in Linux and both Wi-Fi and Bluetooth wireless. The computer, which is based on Intel's 22-nanometer Quark chips, can be the basis for a new wave of products and will become available summer 2014. Source: eWeek
  23. 23. Intel Curie Module Unleashing Wearable Device Innovation http://www.intel.com/content/www/us/en /wearables/wearable-soc.html Intel’s Curie module is a complete low- power solution for the wearable space with compute, motion sensor, Bluetooth Low Energy, and battery charging capabilities. Key Features: • Low-power, 32-bit Intel Quark SE SoC • 384kB Flash memory, 80kB SRAM • Small and efficient open source real- time operating system (RTOS) • Low-power integrated DSP sensor hub with a proprietary pattern matching accelerator • Bluetooth Low Energy • 6-Axis combo sensor with accelerometer and gyroscope • Battery charging circuitry (PMIC) • Released January, 2015
  24. 24. Approximately 26 mm x 35 mm https://software.intel.com/en-us/node/675623
  25. 25. Netclearance Systems, Inc.’s (NCS) mBeaconSense hub embeds temperature, vibration, accelerometer, magnetic, and light sensors into a 15mm x 20mm form factor making it the industry's smallest beacon technology to incorporate multiple data sensors into one device. Combined with the Netclearance Systems' Wi-Fi, Ethernet, and mesh gateways, mBeaconSense enables multiple remote sensing capabilities in a single tag allowing for streamlined, and cost-effective deployments. mBeaconSense includes everything necessary to create next generation IoT sensing capabilities utilizing low power Bluetooth and Wi-Fi. The mBeaconSense incorporates a near field communication (NFC) antenna and memory to provide close proximity passive identification capabilities making the product both a hybrid passive and active tag. http://www.netclearance.com/
  26. 26. This summer, ASUS will launch a new type of Chrome device: the Chromebit. Smaller than a candy bar, the Chromebit is a full computer that will be available for less than $100. By simply plugging this device into any display, you can turn it into a computer. It’s the perfect upgrade for an existing desktop and will be really useful for schools and businesses. Source: http://chrome.blogspot.com/2015/03/more-chromebooks-for-everyone.html ASUS Chromebit Turns Any TV into a Chrome PC • Rockchip RK3288 (with quad-core Mali 760 graphics) • 2GB of RAM, 16GB of solid state storage • Plugs into any HDMI-equipped display • Dual-band 802.11ac Wi-Fi, Bluetooth 4.0, USB 2.0 port
  27. 27. http://www.intel.com/content/www/us/en/compute-stick/intel-compute-stick.html Intel Compute Stick
  28. 28. IoT Sensors
  29. 29. SunFounder 37 Modules Raspberry Pi B+ Sensor Kit http://www.sunfounder.com/index.php?c=show&id=47&model=Sensor%20Kit%20for%20B+ Detailed tutorial, source code & 32 lessons on project DVD
  30. 30. Sensor Cluster Trends for Mobile Phones (Inertial Measurement Units) AMS AV-MLV-P2 is a volatile organic compounds (VOC) gas sensor which can detect alcohols, aldehydes, ketones, organic acids, amines, aliphatic and aromatic hydrocarbons.
  31. 31. Source: EDN Magazine Wikipedia on Smart Dust: http://en.wikipedia.org/wiki/Smartdust Wikipedia on Wireless Sensor Network (WSN): http://en.wikipedia.org/wiki/Wireless_sensor_network Smart Dust Motes for Wireless Sensor Networks (WSN) Multihop Wireless Sensor Network
  32. 32. MEMSIC Accelerometer Structure and Chip Integration Creating a sensor-based IoT edge device is challenging, due to the multiple design domains involved. But, creating an edge device that combines the electronics using the traditional CMOS IC flow and a MEMS sensor on the same silicon die can seem impossible. In fact, many IoT edge devices combine multiple dies in a single package, separating electronics from the MEMS design. The Tanner AMS IC design flow accommodates single or multiple die techniques for successful IoT edge device design and verification, able to meet the unique challenge of fusing CMOS IC and MEMS design on a single die. Source: Mentor Graphics
  33. 33. Source: Fujitsu
  34. 34. Source: IDTechEx 2016
  35. 35. Source: IDTechEx 2016
  36. 36. Source: Cymbet Energy Harvesting Sweet Spot
  37. 37. http://www.electronicproducts.com/Po wer_Products/Power_Management/Ne w_mineral_can_simultaneously_convert _movement_sunlight_and_heat_into_el ectricity.aspx Source: Electronic Products 2/17
  38. 38. IoT Gateways, Programming, and Platforms
  39. 39. Representative IoT End-to-End Business Solution Definition of an IoT Platform: An IoT platform is a software suite or cloud service (IoT platform as a service) that facilitates operations involving IoT endpoints (such as sensors, devices, multidevice systems and fleets), and cloud and enterprise resources. The platform monitors IoT event streams, enables specialized analysis and application development, and engages back-end IT systems, and it may help control the endpoints to support IoT solutions. Source: Gartner 3/17
  40. 40. Essential Elements of an IoT Platform Source: SDxCentral
  41. 41. Telit m2m AIR Mobile Core Service http://www.telit.com/
  42. 42. https://octoblu.com/ (Now part of Citrix) Full-Stack IoT Messaging and Automation Platform
  43. 43. AWS IoT Architecture Source: VDC Research
  44. 44. Azure IoT Suite Overview Source: VDC Research
  45. 45. IoT Challenges and Cisco Jasper/Tele2 Solutions
  46. 46. Google’s Serverless Cloud IoT platform Google Cloud IoT is a comprehensive set of fully managed and integrated services that allow you to easily and securely connect, manage, and ingest IoT data from globally dispersed devices at a large scale, process and analyze/visualize that data in real time, and implement operational changes and take actions as needed. Device data captured by Cloud IoT Core gets published to Cloud Pub/Sub for downstream analytics. You can do ad hoc analysis using Google BigQuery, easily run advanced analytics and apply machine learning with Cloud Machine Learning Engine, or visualize IoT data results with rich reports and dashboards in Google Data Studio. https://cloud.google.com/solutions/iot/
  47. 47. IoT Network Connections
  48. 48. IoT Connection Technology Summary Source: Rohde & Schwartz
  49. 49. IoT Connection Data Rate and Range Needs Source: Rohde & Schwartz
  50. 50. https://www.bluetooth.com/specifications/bluetooth-core-specification/bluetooth5
  51. 51. Wi-Fi Ecosystem is Undergoing Change http://www.wirelessdesignmag.com/article/2016/05/ now-80211ac-wave-1-rolled-out-whats-next-wi-fi IEEE 802.11ah Requirements to Support M2M Communications: • Up to 8,191 devices associated with an access point (AP) through a hierarchical identifier structure • Carrier frequencies of approximately 900 MHz (license- exempt) that are less congested and guarantee a long range • Transmission range up to 1 km in outdoor areas • Data rates of at least 100 kbps • One-hop network topologies • Short and infrequent data transmissions (data packet size approximately 100 bytes and packet inter-arrival time greater than 30 s) • Very low energy consumption by adopting power saving strategies • Cost-effective solution for network device manufacturershttp://www.ieee802.org/11/Reports/tgah_update.htm
  52. 52. M2M Unlicensed Wireless Communications Comparison Source: IEEE 802.11ah: The Wi-Fi Approach for M2M Communications Paper 10/14
  53. 53. Source: Link Labs Low Power Wide Area Networks (LPWAN)
  54. 54. Source: Cisco Evolution of Mobile Standards
  55. 55. Typical Cellular IoT Use Cases Source: 4G Americas
  56. 56. 5G Scalability to Address Diverse Services and Devices Source: Qualcomm
  57. 57. Potential 5G Services Bandwidth & Latency Requirements Source: GMSA, Heavy Reading
  58. 58. IEEE 5G http://5g.ieee.org/
  59. 59. IoT Connection Technologies Operating Range Source: Keysight Technologies
  60. 60. Consumer and Home Automation
  61. 61. The Smart Home as a Service combines web intelligence, smart home sensors, data centers, with intelligence living in the cloud – all administered by service providers. Source: Qorvo Low Power Wireless
  62. 62. https://nest.com/thermostat /life-with-nest-thermostat/ Nest Thermostat Printed Circuit Board Layout Source: Mentor Graphics
  63. 63. https://www.cs.cmu.edu/news/internet- things-made-simple-one-sensor- package-does-work-many http://www.gierad.com/projects/supersensor/
  64. 64. LEDs can be engineered to produce practically any desired spectrum of visible light. Blue or violet LEDs pump mixes of phosphors, which down-convert some of the light and mix with the pump color to produce something humans perceive as white light. Near-monochrome LEDs, whose spectrum amounts to a single sharp peak, can be mixed at varying intensities to produce light of any apparent color in a wide gamut. Hue is controlled over WiFi. The bulbs and router talk amongst themselves using a wireless mesh network protocol called ZigBee, IEEE 802.15.4. Source: Phillips (http://meethue.com/en-us/)
  65. 65. Sengled Pulse AwoX StriimLIGHT MiPow PlayBulb Color Klipsch LightSpeakers http://www.klipsch.com/lightspeaker- in-ceiling-lighting-and-audio-systemhttp://www.playbulb.com/en/playbulb-color.html http://www.awox.com/connected -lighting/awox-striim-light/ http://www.sengled.com/product/pulse LED Light Bulbs That Play Audio
  66. 66. Japanese Super Toilet: This luxury toilet from Japan has controls for almost every aspect of the bathroom experience. It can warm the seat, give a massage, play music, adjust the height and temperature of the bidet stream (that plastic tube allows the tester in the showroom to see the height of the stream without getting water on the floor), and much more. It can even make flushing sounds -- without actually flushing -- to cover up the sounds of embarrassing body functions. Source: Contractor Magazine 4/15
  67. 67. Healthcare and Life Sciences (Including Wearables)
  68. 68. http://internetofthingsagenda.techtarget.com/
  69. 69. Source: The Atlantic Council & Intel Security
  70. 70. Source: U.S. Chamber of Commerce 2017
  71. 71. Selected Consumer Wearables http://www.bresslergroup.com/blog/learning-wearables-looking-edges/
  72. 72. Source: Beecham Research
  73. 73. Micro-Systems Used in Healthcare Applications Source: Yole Development
  74. 74. Atomo Diagnostics is a medical technology company bringing next generation rapid diagnostic solutions to market and radically changing the way that we diagnose disease. AtomoRapid has launched in Africa and the UK, and USA market entry is underway. The AtomoRapid blood testing platform can accommodate test strips for a wide variety of conditions from celiac disease, allergy through to infectious diseases such as malaria and HIV. Also offering AtomoRapid to leading diagnostic companies interested in converting their rapid tests onto this revolutionary rapid test platform. http://atomodiagnostics.com/ AtomoRapid Blood Testing Platform
  75. 75. https://www.theengineer.co.uk/ diagnostic-d4-disease/
  76. 76. Integrated Lab-On-A-Chip Uses Smartphone to Quickly Detect Multiple Pathogens The system uses a commercial smartphone to acquire and interpret real-time images of an enzymatic amplification reaction that takes place in a silicon microfluidic chip that generates green fluorescence and displays a visual read-out of the test at the point-of-care. The system is composed of an unmodified smartphone and a portable 3-D-printed cradle that supports the optical and electrical components, and interfaces with the rear-facing camera of the smartphone. (Credit: Micro & Nanotechnology Laboratory, University of Illinois at Urbana-Champaign) Source: https://www.mdtmag.com/news/2017/10/integrated- lab-chip-uses-smartphone-quickly-detect-multiple-pathogens
  77. 77. Source: IEEE Spectrum 11/14 Perspiration Biosensor Patches
  78. 78. https://www.eurekalert.org/pub_releases/ 2017-08/dgi-st082017.php https://www.nature.com/ articles/ncomms15894
  79. 79. http://www.uh.edu/news-events/stories/2016/September/09272016-Researchers-Create-Glucose-Sensing-Contact-Lens.php
  80. 80. The world's first smartphone with a giant six-inch screen and a built-in ADI (U.S., http://www.analog.com/) spectrometer running integrated software by Consumer Physics (U.S., https://www.consumerphysics.com/) and manufacturers by electronics giant Sichuan Changhong Electric Co. (China). (Source: Sichuan Changhong Electric) External Bluetooth spectrometers include the SCiO Pocket Molecular Sensor (https://www.consumerphysics.com/myscio/) and Tellspec Handheld Spectrometer (http://tellspec.com/en/)
  81. 81. Medtronic Micra Pacemaker http://newsroom.medtronic.com/phoenix.zhtml ?c=251324&p=irol-newsarticle&id=1883208 Ron Wilson World's Smallest, Minimally Invasive Cardiac Pacemaker Delivered directly into the heart through a catheter inserted in the femoral vein at AZBio
  82. 82. http://mimobaby.com/ Add Pacif-i Bluetooth Smart Pacifier for Temperature Mimo Smart Baby Monitor http://bluemaestro.com/pacifi-smart-pacifier/
  83. 83. First prize in the Qualcomm Tricorder XPrize was awarded to Final Frontier Medical Devices, a team in Pennsylvania. The team, led by brothers Dr. Basil Harris, an emergency medicine physician, and George Harris, a network engineer, created an artificial intelligence engine called DxtER that learns to diagnose medical conditions via data from emergency medicine and analyzing patients. Final Frontier Medical Devices was awarded $2.6 million at the Qualcomm Tricorder XPrize ceremony on April 12, 2017. http://www.zdnet.com/article/qualcomm-tricorder-xprize-goes-to-u-s-team-for-device-fusing-ai-iot-health/ https://tricorder.xprize.org/teams/final-frontier-medical-devices Final Frontier Medical Devices DxtER Tricorder XPrize Winner
  84. 84. Continua Health Alliance Enables the Personal Health Information Network (PHIN) Source: Continua Health Alliance (http://www.continuaalliance.org/)
  85. 85. National Health Information Network (NHIN) http://healthit.hhs.gov/portal/server.pt?open=512&mode=2&cached=true&objID=1142
  86. 86. http://weliveupnorth.com/plant-monitor/
  87. 87. Arable's Pulsepod Collects Hyperlocal Weather & Crop Data http://www.arable.com/
  88. 88. Unmanned Aerial Systems (UAS) Potential Applications
  89. 89. Retail and Logistics
  90. 90. Source: Cisco
  91. 91. Beacon Enabled Local Retail Offer Service Source: GSA
  92. 92. Swirl iBeacon Platform and Ecosystem http://www.swirl.com/
  93. 93. Industrial Internet of Things (IIoT)
  94. 94. Source: Intel
  95. 95. Source: LNS Research
  96. 96. Source: LNS Research Flattening of the Industrial Networking Architecture
  97. 97. Source: LNS Research
  98. 98. Wireless Connection Technologies for Industrial IoT Source: Texas Instruments
  99. 99. Source: LNS Research
  100. 100. Smart Buildings
  101. 101. Creating an Intelligent Building Starts with Sensors and LED Lighting Source: EEWeb Sensor Technology
  102. 102. Enterprise Internet of Things (EIoT) Source: Cisco
  103. 103. Source: Memoori 2014
  104. 104. Intelligent Buildings Value Chain Source: Frost & Sullivan
  105. 105. Smart Cities and Environments
  106. 106. Source: FutureStructure Water, Waste & Energy Systems 6/14
  107. 107. http://www.forbes.com/sites/jacobmorgan/2014/09/04/cities-of-the-future- what-do-they-look-like-how-do-we-build-them-and-whats-their-impact/ Cities of the Future: What Do They Look Like, How Do We Build Them, and What's Their Impact?
  108. 108. In a study of air pollution, a small pollution sensor was used to measure black carbon level continuously, combined with an Android smartphone with CalFit software for recording GPS information on user location. The indoor/outdoor study of 54 Barcelona schoolchildren was associated with BREATHE, an epidemiological study of the relation between air pollution and brain development. The researchers conclude that mobile technologies could contribute valuable new insights into air pollution exposure. Source: Kurzweil AI http://www.kurzweilai.net/turning-smartphones-into-personal-real-time-pollution-location-monitors Smartphones as Personal, Real-Time Pollution-Location Monitors
  109. 109. The Array of Things (AoT) is an NSF grant funded urban sensing project to implement a network of interactive, modular sensor boxes that will be installed around Chicago to collect real-time data on the city’s environment, infrastructure, and activity for research and public use. The nodes will initially measure temperature, barometric pressure, light, vibration, carbon monoxide, nitrogen dioxide, sulfur dioxide, ozone, ambient sound intensity, pedestrian and vehicle traffic, and surface temperature. Continued research and development will help create sensors to monitor other urban factors of interest such as flooding and standing water, precipitation, wind, and pollutants. See: http://arrayofthings.github.io/
  110. 110. Source: Ayushi Agrawal/Apple 2015 https://www.linkedin.com/pulse/big-data-analytics-internet-things-ayushi-agrawal
  111. 111. The Intel Intelligent Systems Framework provides a consistent framework for connectivity, security, and manageability. Flexible developer ‘recipes’ use scalable, off-the-shelf elements that in turn, shift resource investments from interoperability to extracting value from data. http://www.intel.com/content/www/us/en/embedded/intelligent-systems.html
  112. 112. Source: GSMA Mobile Operators Can Enable Smart City Services
  113. 113. Smart City Multidimensional Factors Source: Beecham Research
  114. 114. Source: Nesta 2014 (http://www.nesta.org.uk/blog/smart-cities-and-china)
  115. 115. 1) A growing adoption and awareness of the smart city concept by an expanding set of government leaders. Not only does IDC see more demand for strategy development and implementation road maps, but the requests come from cities, counties, states and central/federal government agencies. We predict that by 2017, at least 20 of the world’s largest countries will create national smart city policies to prioritize funding and document technical and business guidelines. 2) A high variability in understanding the impact of the Internet of Things (IoT) and the benefits and challenges that must be considered from new types of mobile and connected things (drones, wearables, connected cars). We continue to see many of the same cities investing in the smart city IoT, but even for cities with pilot projects, there is a lack of citywide strategy at the level of guidelines for implementations. As such, we predict that in 2016, 90 percent of cities worldwide will lack a comprehensive set of policies on the public and private use of drones, sensors and devices. This will result in increased privacy and security risks. Similarly, we see a more acute and faster adoption of public safety and transportation IoT investment, often without a strategic framework, which IDC believes will lead to more project risk and wasted spending, such as spending on duplicative systems or devices. 3) Information from social media, crowdsourcing and sharing economy companies will have a greater impact on cities. Cities are grappling with how to ingest this data into systems and put it to use. Not only is this data unstructured in the form of text, video, images and audio, but it also comes from a variety of sources that exist independent of government. This presents a challenge since data from these sources can be highly relevant and useful for improving government services. The Waze traffic app is a great example of this — crowdsourced traffic information for commuters, if integrated with systems in the transportation management center, would help operators update digital signs more quickly, potentially adjust traffic signals and dispatch responders more quickly. But getting this information into existing systems is not a simple task. Source: IDC 2016 Smart City Trends to Expect
  116. 116. https://www.cbinsights.com/research/iot- smart-cities-market-map-company-list/
  117. 117. Transportation
  118. 118. Intel In-Vehicle Solutions on YouTube: http://www.youtube.com/watch?v=Lk2XNc7qyJ0
  119. 119. Source: KPMG
  120. 120. Imaging Technologies for Automotive
  121. 121. Autonomous Vehicles (AV) Source: General Motors 2017 Proprietary LIDAR Cost & Size Reduction
  122. 122. NHTSA’s Levels of Autonomous Vehicle Automation Source: National Highway Traffic Safety Administration (NHTSA)
  123. 123. Automated Driving Technology Progression Source: Navigant Research 2017
  124. 124. Vehicle Terminal Software Architecture Source: Intel
  125. 125. Autonomous Vehicles (AV) Source: General Motors 2017
  126. 126. Source: Parks Associates
  127. 127. Intelligent Transportation with IoT Source: Intel
  128. 128. https://www.nytimes.com/2017/11/11/technology/a rizona-tech-industry-favorite-self-driving-hub.html
  129. 129. https://www.wired.com/story/waymo-google- arizona-phoenix-driverless-self-driving-cars/
  130. 130. Tesla Semi Electric Big-Rig Truck with 500 Mile Range and 80,000 Pounds Cargo Capacity https://www.tesla.com/semi/
  131. 131. https://techcrunch.com/2017/03/07/airbus-reveals-a-modular-self-piloting-flying-car-concept/
  132. 132. https://medium.com/@UberPubPolicy/fast-forwarding-to-a-future-of-on-demand-urban-air-transportation-f6ad36950ffa http://uber.com/elevate/whitepaper
  133. 133. Source: General Motors 2017 Autonomous Vehicles (AV)
  134. 134. IoT Security, Privacy, and Blockchain
  135. 135. https://f5.com/labs/articles/threat-intelligence/ddos/ddoss-newest-minions-iot-devices-v1-22426
  136. 136. Internet of Things (IoT) “Smart” devices incorporated into the electric grid, vehicles including autonomous vehicles, and household appliances are improving efficiency, energy conservation, and convenience. However, security industry analysts have demonstrated that many of these new systems can threaten data privacy, data integrity, or continuity of services. In the future, intelligence services might use the IoT for identification, surveillance, monitoring, location tracking, and targeting for recruitment, or to gain access to networks or user credentials. http://content.govdelivery.com/attachments/USODN I/2016/02/09/file_attachments/496870/SASC%2B201 6%2BWWTA%2BSFR%2B-%2B9%2BFeb%2B16.pdf
  137. 137. Source: Beecham Research
  138. 138. Current technologies on the “privacy panic cycle”. (Adapted from Castro, D., & McQuinn, A. (2015). The privacy panic cycle: a guide to public fears about new technologies. Washington, D. C. Source: Information Technology & Innovation Foundation ITIF) Privacy Panic Cycle
  139. 139. Source: PubNub
  140. 140. Source: RCR Wireless 2017
  141. 141. Securing an IoT Product or System Source: Zentri
  142. 142. Internet of Things Security Attributes Source: Hewlett Packard Enterprise
  143. 143. Source: CENTRI Technology
  144. 144. Source: RCR Wireless 2017
  145. 145. IoT Security for Home Devices
  146. 146. Source: Cambridge Centre for Alternative Financing
  147. 147. Applications of Blockchain in Networking and IoT Source: CB Insights
  148. 148. https://standards.ieee.org/develop/wg/blockchain_wg.html https://standards.ieee.org/develop/project/2418.html P2418 - Standard for the Framework of Blockchain Use in Internet of Things (IoT)
  149. 149. IoT Standards and Organizations
  150. 150. Source: IEEE Computer - Imagineering an Internet of Everything 6/14 Information Flow Between the Cyber and Physical Worlds
  151. 151. https://www.led-professional.com/technology/standardization/zigbee-alliance-and-thread-group-join-force http://www.threadgroup.org/ http://www.zigbee.org/
  152. 152. Source: ZigBee Alliance (http://www.zigbee.org/zigbee-for-developers/zigbee3-0/)
  153. 153. http://openinterconnect.org/
  154. 154. http://www.upnp.org/ Universal Plug and Play Forum
  155. 155. IoT Groups Merge Efforts OIC taps UPnP, eschewing rival AllSeen The Open Interconnect Consortium will acquire assets of and combine its technologies with those of the Universal Plug and Play Forum, a fifteen-year old group focused on automating links between PCs and peripherals typically over Wi-Fi. By adopting the UPnP’s widely used service discovery software and likely many of its members, OIC will bolster its position as an applications-layer software stack for the Internet of Things. All sides agree the IoT is encumbered with too many competing and overlapping platforms, networks, protocols and frameworks as the result of a land grab for what is seen as the next big thing. With the deal, OIC gets an edge over its closest rival, the AllSeen Alliance. However it’s not clear whether it gets the heft it will need to stand out against the two giants in this space – Google’s Thread/Weave and Apple’s HomeKit. Currently, AllSeen has a lead in the market with more than 185 members and shipping products using its specifications. OIC, which has about 100 members, expects first products using its recently ratified spec to appear at CES in January. Both OIC and AllSeen are hosted by the Linux Foundation. Source: EE Times 11/23/15
  156. 156. http://www.eweek.com/networking/iot-standards-groups-ocf-allseen-alliance-merge.html
  157. 157. http://www.iiconsortium.org/test-beds.htm
  158. 158. http://www.w3.org/WoT/ http://www.w3.org/WoT/IG/
  159. 159. https://www.shodan.io/
  160. 160. IoT Big Data, Applications, and Analytics
  161. 161. Source: HP
  162. 162. Growth in M2M Connections Drive New Data Analytics Needs
  163. 163. Source: AT&T
  164. 164. Why the Internet of Things Matters
  165. 165. Internet of Things Data Value Chain Source: Navigant Research
  166. 166. Source: HP
  167. 167. Source: LNS Research
  168. 168. https://awsinsider.net/articles/2017/10/12/aw s-microsoft-deep-learning-gluon.aspx Source: AWSInsider.net 10/12/17
  169. 169. IBM Watson’s System Architecture
  170. 170. Adoption Across the Analytics Spectrum
  171. 171. Advanced Analytics Maturity Path Source: Intel Corporation 2017
  172. 172. Big Data and Analytics MaturityScape Source: IDC 2015
  173. 173. IoT Business Models and Outlook
  174. 174. Future X Network Enabling a New Digital Era Source: Bell Labs Consulting
  175. 175. https://f5.com/labs/articles/threat-intelligence/ddos/the-hunt-for-iot-the-rise-of-thingbots
  176. 176. Internet of Things Playbook Source: Navigant Research
  177. 177. Barriers to IoT Success
  178. 178. Internet of Things (IoT) Roadblocks Those making their first foray into connected products can improve the success of their IoT programs by understanding the following hazards. • Too many inputs and too much data – Having too much data is nearly as bad as not having enough. It’s easy to get excited about the promise of new technology. But overdoing it on early programs can result in data explosion that overwhelms IT systems as well as stakeholders. • Too many alarms – Nothing guarantees organizational disengagement from a supposedly smart system than many “false positive” errors. False alarms are the spam of the IIoT world. They drown out the actual errors and condition stakeholders to ignore system feedback. • Missed critical alarms – If false positives are frustrating, a false negative can be catastrophically damaging depending upon the system. No notification or late notification of a potential safety concern can cause product, personnel, environmental or secondary damage, and can bring the program into question. • Unclear guidance – Feedback must be actionable, correct, and timely to the multiple stakeholders involved. Feedback that is unclear or requires time-consuming offline analysis substantially reduces system value. • Unprepared Organization – connected products often require “connected organizations”. Organizations may need to work together in new and different ways to realize revenue and margin projections. • Customer Backlash – Even in cases where the customer clearly has the most to gain through a newly connected product, there is a risk of customer backlash. Consumer privacy and security risks are substantial concerns carrying the specter of legal action. Additionally, there is a risk of Government charges. This US Federal Trade Commission Report provides a good overview of possible risks as well as the FTC’s recommendations. • Perceived cost versus benefit – Ideally, the success of an IIoT-enabled product would be easily quantified. Cost for a connected product can be high, once infrastructure costs are considered. Costs are often easier to measure than success, particularly if success is tied to lagging and less correlated metrics such as customer satisfaction. Subjective comparison of cost versus success puts a program at risk. Without positive proof of value and clearly defined and accepted targets, a single large adverse event can undermine the program. Source: LNS Research
  179. 179. Internet of Things (IoT) Maturity Mode Source: TDWI
  180. 180. IoT Success Requires an Ecosystem of Internal and External Partnerships Source: Cisco
  181. 181. https://cbi-blog.s3.amazonaws.com/blog/wp- content/uploads/2016/10/Final-Graphic-2.png
  182. 182. 12 Predictions for the IoT Market in 2018 1. IoT markets will consolidate and grow more integrated 2. IoT-related privacy concerns will continue, but won’t slow adoption 3. Technical barriers to IIoT will fade, but the talent gap will remain a hurdle 4. 3G-driven IoT deployments will fade into obscurity 5. Industrial uses of AR technology will gain ground, but will remain immature 6. Micro-location will be a star technology of 2018 7. IoT deployments will scale thanks to increased networking automation 8. Pushes for IoT regulation will continue as new data governance frameworks emerge 9. Enterprise companies will see security breaches as a cost of doing business—while stepping up their defenses 10. Medical devices will emerge as a vulnerable hacking target 11. LPWAN will pick up in industrial markets 12. Agile development picks up in hardware and manufacturing, but the Holy Grail will be services Source: Internet of Things Institute by Brian Buntz 12/8/17 http://www.ioti.com/analytics/iot-council-co-chair-provides-2018-iot-predictions
  183. 183. Source: Gartner (July 2017) Driving Analytics from Descriptive to Predictive to Prescriptive Years to Mainstream Adoption
  184. 184. Proven Efficiency Products SP Upgrades and Finances: Building Energy Efficiency Efficient Lighting, HVAC Power Conditioning & Storage Clean Energy Generation Waste to Value/Energy Clean Transportation Efficient Water Usage https://www.sustainability.partners Contact: Mark Goldstein, International Research Center, Business Partner for Sustainability Partners at 602-470-0389 or markg@researchedge.com Sustainability Partners has pioneered a new way of delivering effective and impactful energy, water and fuel efficient systems to customers by accelerating traditional project and procurement processes utilizing an innovative, value-added Sustainability-as-a-Service® (SaaS™) approach. Sustainability Partners works with customers to invest in and deploy energy efficient initiatives in a no cost, low-risk way with under a shared savings model that removes traditional barriers and risks, enabling customers to implement the latest energy, water, and fuel efficient technologies and realize immediate savings. Sustainability Partners has a broad base of investors providing ample funds for investment in qualified projects. We offer substantial referral fees for leads resulting in financed projects. We finance energy projects for commercial scale end users with no CAPEX, no OPEX, and no P&L impact, just pure P (Profit)!
  185. 185. Internet of Things (IoT) Innovations & Megatrends Update Wednesday, December 13, 2017 Mark Goldstein, International Research Center PO Box 825, Tempe, AZ 85280-0825, Phone: 602-470-0389, markg@researchedge.com, URL: http://www.researchedge.com/ Presentation Available at http://www.slideshare.net/markgirc © 2017 - International Research Center Arizona Chapter Phoenix Chapter http://ewh.ieee.org/r6/phoenix/compsociety/

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