PowerPoint Presentation

testIoT

& Big DataWHY ITS SO BIG

Feb 13, 2017 @ FIT

Welcome everyone. Thanks to our hosts Big Data Florida and the Florida Institute of Technology.

Intro selfKarl Seiler founder of PIVIT helps companies incorporate Artificial Intelligence, Machine Learning and IoT product capabilities into product lines and business processesAm also VP of ZONTAL a new startup focused on the Internet of things for R&D labratoriesVP of Big Data FloridaLead the Central Florida Machine Leaning Group

This a session on the state of the nation of the evolving Internet Of Things technical innovation wave and its relationship to Big Data1

in retrospect it looks like the rapid growth of the World Wide Web may have been just the trigger charge that is now setting off the real explosion, as things start to use the Net.

Neil GershenfeldWhen Things Start to Think

The most important thing I want you to leave with tonight is a better appreciation of the scope of change in our lives that IoT represents.Certainly the Internet has changes our lives in many was, how we are informed, communicate, transact, meetup, run our businesses and so on.

One point of view is that the Internet / The World Wide Web has just been a trigger event, that is starting to set off the real explosion, now that we have things starting to use the Net.

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"In the next century, planet earth will don an electronic skin. It will use the Internet as a scaffold to support and transmit its sensations.

Neil Gross in Business Week

Another insight from Neil Gross of Business Week is that our planet earth is donning an electronic skin, that will use the Internet as it scaffold to support and transmit is sensations.

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WHAT IS IOT?Internet of Things (IoT)Internet of EverythingInternet AppliancesIndustrial InternetSmart/Connected car, city, shoe,Web 3.0Ubiquitous Computing

So lets talk about what IoT is. It has gone by many names. It is not that new an idea.

Internet of everythingInternet applianceThe industrial internetThe smart car, smart city, smart watch, the connected fleet, the connected supply chainWeb 3.0Or ubiquitous computing

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WHAT IS IOT?The Internetworkingof physical devices / "connected devices" / "smart devicesEmbeddedwithelectronics,software,sensors, actuators, andnetwork connectivitythat enable these objects to collect and exchange dataAllows objects to be sensed and/or controlled remotely Creating opportunities for more direct integration of the physical world into computer-based systemsImproved efficiency, accuracy and economic benefit in addition to reduced human interventionExpected to usher in automation in nearly all fields

So What is the internet of things. It is the internetworking of physical devices, connected device, and smart devices.These devices have embedded sensors, actuators, network connectivity, in some cases built in security, local storage, local compute power. Sometimes these devices are their own web servers. The point of the connectivity of these objects is to collect and exchange sensory data.

This in turn can allow the devices to be remotely controlled from our other computer systems connected to the larger Internet.

All with the goal to improve knowledge, efficiency, accuracy, precision, leading to less need for hands-on human intervention.

This is expected to result in new automation in nearly every field.

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WHY IT MATTERSIf everything / person / place generates fine-grained streams of information

More information = larger the problems we can solve

We will see what could never be seen before

So if we logically follow.

That if every thing person and place generates fine-grained streams of information about the world.This wealth of information, should empower us to work out and solver larger, subtler, harder problems.We will see patterns that we never could before and that we never knew existed before.

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Such as. Does anyone know what pattern this is a picture of.

The threads represent strings of time.Which are overlaid on a map of an apartment floorplan.The height of the bumps represent the frequency of occurrence.The text above are words and strings of phrases.

This is a map of a toddler learning to speak. Word acquisition over time over space.

The Lesson here is that physical context matters matters in language acquisition, perhaps more than repetion.

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WHY IT MATTERSTHE BIG THEORYData on everythingVisibility over timePatternsReactive optimization

Smarter = faster, cleaner, healthier, safer

So why IoT matters, in short. The big theory of its value reads like this:

Data on everything, provides more visibility into what is really happening over time, from which we detect patterns, big, sooner, better, in new ways, from which we can classify and optimize and react more quickly or more intelligently, so our new world our next future is faster, cleaner, healthier, safer.

However, of course our increased power of can just as easily be used for bad as for good.

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SCALE

Here is a view of the projected scale of IoT build out

It is already estimate that by the end of 2017 we will be at ~28 billion deployed IoT devices. Leading to 50 billion at work by 2020 a mere 3 years from now.

Please note that Estimates range from 20 to 50 B devices by 2020

An important point here is that this ramp up runs up steeply as we continue into the future.9

Another view of the scale up. A little older. But the point here is the relative ratio of adoption. The IoT wedge ramps faster and gets bigger then any previous technology adoption curve.

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HOW BIG IS IT?20-50 billionconnected devices by2020$6 trillionspent on IoTIn next 5 yearsbottom line impacts

lowering costsincreasing productivitynew marketsGOV improving their citizens quality of life$15 Billion spenton smart home 2015$2 trillionIndustrial impactby 2020Rides on 5G, the next generation of wireless50-100 Connected devicesper smart home$500B/ydriverlessmarket$1 trillion/ySmart city market$100B/ysmart office$2T/ysmart factory

Some more interesting growth and adoption data:

As we said 20-50 billion connected devices by 2020.$6 trillion to be spent on IoT in the next 5 yearsCompanies are looking at IoT to lower costs, improve productivity and open new marketsGovernments are looking for IoT to improve their citizens quality of life$15 billion was already spent of smart home products in 2015Each fully tricked-out smart home is expected to host 50-100 connected devicesThe industrial impact is expected to be $2 trillionWe will need 5G wireless connectivity to proliferate for all this traffic to ride on less IoT will clog the pipes.Projected income of $500 billion per year across the driverless vehicle markets$1 trillion per year in the smart city market$2 trillion per year in the smart factory marketAnd $100 billion per year in the smart office market

Big stuff

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Lets explore the working parts of IoT. It is a layer cake.From the bottom up.1 - The things, devices, sensors and controllers. Low power, small, compute strong, sensitive, ubiquitous2 connectivity. The hop. Bluetooth, Wi-Fi, hubs, etc.3 The edge. Local processing and analysis for faster reaction time that can not cycle up to the cloud and back in time. The fly by wire car is the best example. Also, called fog computing. 4 data accumulation where does the data go, cloud, NAS, SAN, public / private models, hybrids, elastic capacity5 Data abstraction your data, my data, cohorts of data, control, access, security of the stored asset, backup recovery, retention policies6 the application layer, trending, categorization, classification, machine learning, decision automation, control commands7 Collaboration and processes integration with business processes, transactions, other systems integration across the enterprse, etc.

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WEARABLES

So lets tour some IoT market sectors.

Wearables.

We think fitbits, garmins, apple watches.

But the scope is much vaster. From business operations for identity control, event access, stock managementTo biometric identification, presence / absence detectionTo a myriad of healthcare monitors in hospital, clinic, ALS and homeTo body augmentationTo wellness control for weight, injury, overwork, energy management, to sleep hackingTo sport and fitness performance improvement, in shoe, glove, helmet, ball, bike, trackTo lifestyle AR / VR , optimized learningTo communication, voice, gesture controlsTo glamour, mood clothes, ambient lights, pattern changing clothes

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WEAR-ABLES

GPS Buttons

Fingernails for gestures

Virtual assistants in contact lens

Power capture shoes

Emotion detection shirts

Health monitoring ear rings

Whats ahead

Health monitoring earringsGPS location tracking in your buttonsVisual assistants in your contact lensFingernail impacts for gesturesPower capture shoes to drive the charging of you other wearablesand emotion detection shirts

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TRANS-PORT

Fuel savingsFatigueNo more crashes

Shifting gears to the transportation sector

The driverless car is oft thought of as the leading edge of Iot, capturing everyones attention. It is here now. Adapative cruise control, blind spot warnings, lane drift minders, auto bumper to bumper traffic hands free

But pay attention to the trucks. IoT impacts their bottom line directly. For a conservative industry they are certainly early adopters.You will son see close convoying of tight flying formations of trucks on off hours. Save fuel to the tune 15% , making better use of the time cycle of the driver, less fatigue, rest while in transit, and less accidents.15

The self-driving vehicle revolution has started and rolls out something like this:Era 1 out to 2025 fully autonomous vehicles for consumersEra 2 out to 2040 car insurance shifts to covering fleets and bugs, supply chain and logistics are redefinedEra 3- out to 2050 autonomous vehicle dominate the landscape, people get 50 min / per day back, parking collapses, collisions are down by 90%, this in turn drives the adoption of autonomous robots in out sectors

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Personally owned driver driven plummetsShared-driver driven rises Personally owned autonomous stays smallNew dominance is Shared autonomous think on-demand public transport by local fleets

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TRANS-PORT

Another angle is drones. Commercial activity and the legalization of drones leads to their use for Law enforcementConstruction surveysRescue mission supportFirefighting by delivering fast HD imageryBridge and road inspectionsSnow and avalance surveysEtc

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CON-TAIN-ERS

Containers get smartThey know if you are taking your pillsIf the box got too hot or too cold in transportOf if the shipping container is lost, compromised, and the stuff inside is still fresh

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HOMEOFFICE

Smart vents(SOLD OUT)

The smart homeShow of hands of how many have some smart home device now? Lights, door bell video, Amazon Alexa / Dots, Gggole Home,Smarthome features focus on entertainment, water controls, lighting, heating/cooling, security and smart appliances

I love this smart vent idea. Sold out already. Set the target temp per room and the thing opens and closes as needed. Communicates and collaberates with the smart thermostat.Simple, smart, awesome20

HOMEOFFICE

The smart office is also on its way.Dynamic lighting as needed when neededLocksClimate control by presence / absence lead to big savingsAutomatic blinds, windowsAccess controls with remote and local controls. Who can get in when with biometric IDs21

HOMEOFFICE

Smart home and smart office grow up to the even bigger savings in cities the smart big building. With energy recapture. Co-generation. Local reclamation and recycling. Close integration with autonomous transport ingress egress.

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The smart building aggregates up in part to the push for smart cities. Cities start to vie with other cities to attract talent and business due to the optimized transport, low cost of energy, integrated health access systems, responsive security systems, flexibility designed in for events, etc.

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BIG (IOT) DATAIoT devices generate a lot of dataFrom many sourcesWith a lot of diversityOver timeAll the time

So lets also explore the impact all this wonderful new smart stuff has on our approaches to big data.IoT devices generate lots of data, from different sources, in different formats, over longer periods of time, all the time

Soits lots more data, fine-grained, streaming at us, 24x7

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BIG (IOT) DATAMassive storageFlexible access paradigmsAnalyticsPattern recognitionDecision automation

The implications are for massive storageFlexible access I sync my wearables while on business in China and it is available to my wellness advisor up the street where I liveEver increasing need for analytics for pattern detection, classification, trend analysis, alertsEver smarter algorithms reacting to the analysis to do somethings, warn someone, buy or sell or move something.

All this circles around and is part of the big data ecosystem needed to support iot.

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BIG (IOT) DATA

So it is a cyclic ecosystem revolving around things and their data, the massive / fast / flexible data stores and the analytics engines driving the applications, which in turn feedback to and control the devices and environments26

BIG (IOT) DATA

And remember not all decision making can be done in the cloud. Decision making is needed at the edge for faster response. Also, not all data needs to round trip up to long term retention. The edge computing can refine, filter, distill and transform to only post upstairs what is really needed.

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THE WARN-INGSSecurityPrivacyFake dataThe digital divideOvercoming the creepy factorOptimal everything, who is left behind

I tend the thinks over the long haul of history and technical innovation that life improves. However, fair warning. This connected world of things has its dark side. Such as:Hackers seizing control of your stuff and hurting you, more thing watching and monitoring inevitably invades your privacy.

Like fake news we will have to be warry of fake data injected into flows to cause harm.

And all the advantages can and do tend to flow to the wealth nations / groups / people before the needy who could get the most benefit.

And it is all so damn creepy. Being sounded by mechanical eyes and ears. And smart things that go bump in the night. Rumbas are neat but sort of creepy.

And finally when everything is optimized who gets left behind. The path to ruin is short and step in this faster paced, finely tuned world.

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Always be yourself, unless you can be Batman, then always be Batman.

I heard this the other day and it just seemed to fit. The utimate IoT geek of cool stuff.

So I leave you with always be yourselfUnless you can be be batmanThen always be batman29

Karl Seiler | PresidentPIVIT TURN SMARTkarl@piviting.comPiviting.com@pivitguru