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IOT and Big Data - The Perfect Marriage

If you have somehow missed the hype, the Internet of Things (IoT) is a fast-growing constellation of internet-connected sensors attached to a wide variety of 'things'. Sensors can take a multitude of possible measurements, Internet connections can be wired or wireless, while 'things' can literally be any object to which you can attach or embed a sensor. If you carry a smartphone, for example, you become a multi-sensor IoT 'thing', and many of your day-to-day activities can be tracked, analysed and acted upon. <br><br>Many of the conversations taking place around the IoT are incomplete without a mention of big data. Big data is characterised by “4 V’s”: volume, variety, velocity and veracity. That is, big data comes in large amounts (volume), is a mixture of structured and unstructured information (variety), arrives at (often real-time) speed (velocity) and can be different levels of uncertainty (veracity). <br><br>As organizations step into IoT, they must understand the symbiotic relationship between IoT and big data. Just like with any big-data play, merely collecting the data isn't enough. The data must be processed and analyzed to derive meaningful insights, and those insights must drive actionable steps that can improve the business. <br><br>What that means is that, without Big Data, the IoT can offer an enterprise little more than noise. But wait…! On the other hand, without IoT, the Big Data is little more than any other software lying idle. Actually you need two to Tango. That’s when you get the perfect marriage!

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IOT and Big Data - The Perfect Marriage

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  1. INTERNET OF THINGS & BIG DATA THE PERFECT MARRIAGE Dr. Mazlan Abbas CEO, REDtone IOT Sdn Bhd International Conference on Soft Computing in Data Science 2015 (SCDS2015), 2-3 Sept. 2015, Pullman, Putrajaya Copyright © RIOT 2015 All Rights Reserved

  2. THE PERFECT MARRIAGE •  Introduction - Internet of Things and its Business Opportunities •  Making Sense of Data •  Encourage Adoption and Innovation of IoT •  IOT and Big Data Marriage Challenges •  Summary Copyright © RIOT 2015 All Rights Reserved

  3. How Big is the IOT Market How Big is the IOT Market? ? Copyright © RIOT 2015 All Rights Reserved

  4. THE CURRENT ERA OF IOT HOW IS IT DIFFERENT FROM M2M?
 Copyright © RIOT 2015 All Rights Reserved

  5. CHANGE IN BUSINESS MODEL Copyright © RIOT 2015 All Rights Reserved

  6. [Source: http://postscapes.com/what-exactly-is- the-internet-of-things-infographic ] Copyright © RIOT 2015 All Rights Reserved

  7. 10/90 RULE The Last 100 meter connectivity Connected World Still Disconnected The “last 100 meters” represent > 90% potential number of connections Today, the devices used in the “last 100 meters” are typically not connected. The wide-area network is to a larger extent connected e.g. through smartphones, home routers (e.g. ADSL routers) and GSM / 3G / 4G Routers. Copyright © RIOT 2015 All Rights Reserved

  8. BRING IOT TO THE NEXT LEVEL FUTURE OF COMMUNICATIONS AND PRODUCTIVITY
 Copyright © RIOT 2015 All Rights Reserved

  9. BUSINESS OPPORTUNITIES Capabilities Benefits Improved Performance Monitor Control Reduced Costs Create Innovative Products Optimize New Revenue Streams Autonomous Copyright © RIOT 2015 All Rights Reserved

  10. WHAT ARE THE BUSINESS CHALLENGES Fragmented industry Security and Privacy of data Managing vast amounts of data Finding the right business model Copyright © RIOT 2015 All Rights Reserved

  11. 4 REASONS WHY TELCOS HAVE DIFFICULTY TO EMBRACE IOT Copyright © RIOT 2015 All Rights Reserved

  12. LEGACY BUSINESS IS STILL CONNECTIVITY SIM-CARD BASED OLD HABITS DIE HARD M2M HIGH VOLUME LOW ARPU LESS COMPLEX Copyright © RIOT 2015 All Rights Reserved

  13. LACK OF DOMAIN EXPERTISE THINK BEYOND CONNECTIVITY SOLUTIONS, SELLING AND MANAGED SERVICES NEED GO-TO-MARKET PARTNER Copyright © RIOT 2015 All Rights Reserved

  14. MINDSET BLOCK FULL OF SKEPTISM LOW SINGLE DIGIT GROWTH CONTRIBUTION Copyright © RIOT 2015 All Rights Reserved

  15. STABLE BUSINESS VS. RISKY VENTURES IOT BUSINESS IS FLUID NEED TO WORK Copyright © RIOT 2015 All Rights Reserved LIKE STARTUP

  16. THE END GAME END-TO-END IOT SERVICE PROVIDER Copyright © RIOT 2015 All Rights Reserved

  17. END-TO-END IOT SERVICE PROVIDER s m a r t c i t y Network Platform smart transport s a u t o m o t i v e m a r t Device Provider Network Provider Platform Provider Application Provider Customer Copyright © RIOT 2015 All Rights Reserved

  18. PHASE-1 CONNECTIVITY PLAYER Copyright © RIOT 2015 All Rights Reserved

  19. 1 BUSINESS MODEL Platform s m a r t c i t y Network smart transport Platform s a u t o m o t i v e m a r t Device Provider Network Provider Platform Provider Application Provider Customer Copyright © RIOT 2015 All Rights Reserved

  20. PHASE-2 IOT ENABLER PLAYER Copyright © RIOT 2015 All Rights Reserved

  21. 2 BUSINESS MODEL s m a r t c i t y Network Platform smart transport s a u t o m o t i v e m a r t Device Provider Network Provider Platform Provider Application Provider Customer Copyright © RIOT 2015 All Rights Reserved

  22. 3 BUSINESS MODEL IOT Subsidiary s m a r t c i t y Network Platform smart transport s a u t o m o t i v e m a r t Device Provider Network Provider Platform Provider Application Provider Customer Copyright © RIOT 2015 All Rights Reserved

  23. PHASE-3 IOT SOLUTIONS PLAYER Copyright © RIOT 2015 All Rights Reserved

  24. 4 BUSINESS MODEL s m a r t c i t y Network Platform smart transport s a u t o m o t i v e m a r t Device Provider Network Provider Platform Provider Application Provider Customer Copyright © RIOT 2015 All Rights Reserved

  25. PHASE-4 IOT SERVICE PROVIDER Copyright © RIOT 2015 All Rights Reserved

  26. 5 BUSINESS MODEL s m a r t c i t y Network Platform smart transport s a u t o m o t i v e m a r t Device Provider Network Provider Platform Provider Application Provider Customer Copyright © RIOT 2015 All Rights Reserved

  27. 6 BUSINESS MODEL -HYBRID s m a r t c i t y Network Platform smart transport s a u t o m o t i v e m a r t Device Provider Network Provider Platform Provider Application Provider Customer Copyright © RIOT 2015 All Rights Reserved

  28. THE GOLD RUSH MAKING SENSE OF SENSOR DATA … BUT WHAT DATA? Copyright © RIOT 2015 All Rights Reserved

  29. TO OVERCOME 3 KEY CHALLENGES Automating the collection of data Analyzing data to effectively identify actionable insights Integrating data from multiple sources Only by addressing all three can organizations turn raw data into information and actionable insights. Copyright © RIOT 2015 All Rights Reserved

  30. VALUE IS CREATED BY MAKING SENSE OF DATA Wisdom More Important Evaluated understanding WHY Appreciation of Understanding Knowledge Answers to questions. HOW Answers to questions WHERE WHEN WHO WHAT Information Less Symbols Data Important VALUE PYRAMID Copyright © RIOT 2015 All Rights Reserved

  31. EXAMPLE SMART PARKING Wisdom More Important N/A Why this parking area is not fully occupied? Understanding How to implement a tiered charging? How to find “overstayed” vehicles? Knowledge Who park at this lot? What kind of vehicle? Where is the empty parking lot? When is the peak period? Information Less Data Empty (0), Full (1) Important Who Benefits? - Citizens / Parking Operators / City Council / Shops Copyright © RIOT 2015 All Rights Reserved

  32. DATA BLENDING Waste Home Health Transport Office Creating New Compound Applications Copyright © RIOT 2015 All Rights Reserved

  33. CHALLENGES – DATA OWNERSHIP Commercial Sensor Data Providers Organizations Personal and Households Private Public Business entities who deploy and manage sensors by themselves by keeping ownership. They earn by publishing the sensors and sensor data they own through sensor publishers. Public infrastructure such as bridges, roads, parks, etc. All the sensors deployed by the government will be published in the cloud depending on government policies. All personal items, such as mobile phones, wrist watches, spectacles, laptops, soft drinks, food items and household items, such as televisions, cameras, microwaves, washing machines, etc Private business organization has the right to take the decision whether to publish the sensors attached to those items to the cloud or not. [Source: “Sensing as a Service Model for Smart Cities Supported by Internet of Things”, Charith Perera et. al., Transactions on Emerging Telecommunications Technology, 2014] Copyright © RIOT 2015 All Rights Reserved

  34. HOW-TO ENCOURAGE ADOPTION AND INNOVATION OF IOT
 Copyright © RIOT 2015 All Rights Reserved

  35. “Makers, startups and crowdsourcing efforts result in high numbers of low-revenue niche IoT applications.” Copyright © RIOT 2015 All Rights Reserved

  36. WHERE ARE THE IOT DEVELOPERS? [Source: http://arc.applause.com/2015/07/27/internet-of-things-big-data-and-analytics/] Copyright © RIOT 2015 All Rights Reserved

  37. WHAT-IF SENSING-AS-A-SERVICE Copyright © RIOT 2015 All Rights Reserved

  38. COMMERCIAL IOT SENSOR PROVIDER Gathering temperature, light, pressure, humidity and pollution. The street town council center would want the temperature and humidity data for planning during rough weather The city would pay for access to the light sensors in order to decide when to turn on and off the street lights The weather department would want the temperature and pressure data A university may want access to the pollution information for research purposes for a limited period Copyright © RIOT 2015 All Rights Reserved

  39. HARNESSING THE CREATIVITY Copyright © RIOT 2015 All Rights Reserved

  40. PARTICIPATORY SENSING – “RAPID DEPLOYMENT” Copyright © RIOT 2015 All Rights Reserved

  41. REDUCTION OF DATA ACQUISITION COST – “SUSTAINABLE BUSINESS MODEL” Copyright © RIOT 2015 All Rights Reserved

  42. DIFFERENT BUSINESS MODELS Copyright © RIOT 2015 All Rights Reserved

  43. COLLECT DATA PREVIOUSLY UNAVAILABLE – “ASSIST SCIENTIFIC OR SURVEY ACTIVITIES” Copyright © RIOT 2015 All Rights Reserved

  44. EMPOWER THE CITIZENS TO SENSE GETTING INSIGHTS FROM CROWDSENSING Copyright © RIOT 2015 All Rights Reserved

  45. SMARTPHONE AS YOUR “SENSING ASSISTANT” Sensors: ①  Camera – “Eyes” ②  Audio – “Ears” ③  Accelerometer – “Speed” ④  GPS – “Location” ⑤  Gyroscope – “Movement” ⑥  Compass – “Direction” ⑦  Proximity – “Closeness” ⑧  Ambient light – “Eyes” ⑨  Others… Crowdsourcing Via Crowdsensing Context ① ①  Spatial – Location / Speed Orientation ② ②  Temporal – Time / Duration ③ ③  Environmental – Temperature / Light / Noise Level ④ ④  User Characterization – Activity (Mobility Pattern) / Social (Friends, Interactions) Copyright © RIOT 2015 All Rights Reserved

  46. MAKING CITIES BETTER USING CITIZENS Network Coverage (WiFi/3G/4G) Traffic Environment Noise Copyright © RIOT 2015 All Rights Reserved

  47. LET ALL CITIZENS BE OUR “EYES” Copyright © RIOT 2015 All Rights Reserved

  48. COLLECTIVE COLLABORATION WITH CITIZENS Incident reporting facilities - citizens can report on issues concerning public infrastructure allowing collective collaboration to ensure an active response Copyright © RIOT 2015 All Rights Reserved

  49. EMPOWERING SMART CITIZENS LIVABILITY LOCAL AREA SERVICES PUBLIC SAFETY NATURAL DISASTER MOBILE APPLICATION Users Smartphone Users PORTAL CITISENSE.COM Open Data Social Media CASE MANAGEMENT SYSTEM DASHBOARD Copyright © RIOT 2015 All Rights Reserved

  50. Copyright © RIOT 2015 All Rights Reserved

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