Algorithms of IoT

Algorithms & IoTWorld Change Driven By The Unseen

March 31, 2017

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Today

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Internet of Things

Change by innovation

Artificial Intelligence

Machine Learning Algorithms

Change“Learning and innovation go hand in hand. The arrogance of success is to think that what you did yesterday will be sufficient for tomorrow.”

William Pollard


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Inflexion

Marketinsidersrarelypredicttheexpansiondurationcorrectly


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13y1900 1913

HORSE

CAR


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7 y1993Expected900K

2000(109M)

Landline

Cell Phone


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5y

202020%efficient

$15,000ingas2,000+moving

parts

202595%efficient$1,500ingas18movingpartsGreatertorque$30kunsubsidized

GAS AUTO

ELECTRIC CAR


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12y2018Nomorepeakers

2009zeromoneydownSince2000doublescapacityevery2yearsBelowgridparityworldwideby20172030=100%PV2400ximprovementincostoveroilSolaris6000xcheaperthanN-gas

OIL & GAS SOLAR


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50+ billion connected things

by 2020Inflexion

Internet of Things“…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 Gershenfeld“When Things Start to Think”


"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, Business Week

“

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WHAT IS IOT?

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The Internetworking of physical devices /

"connected devices”/ "smart devices”. Embedded with electronics, software, sensors, actuators, and network connectivity that enable these

objects to collect and exchange data and be controlled remotely. Creating opportunities for more direct integration of the physical world into computer-based systems, improved efficiency, accuracy and economic benefit in addition to reduced human intervention.Is expected to usher in

increased automation in nearly all fields.


WHY IT MATTERS SO MUCH?

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If everything / person / place generates

fine-grained streams of information…

More information = larger the problems we can solve .We will see what could

never could be seen before…


HOW BIG IS IoT?

connected devices by2020

$15 billion Spent on smart home in 2015

$2 trillionIndustrial impact

by 2020

$500B/yDriverless market

$100B/ysmart office

50+billion

Spent on IoT in next 5 years

$6trillion

bizLower costs, increase productivity, open markets

govImprove

citizens quality of life

$1 trillionSmart city market

$2t/ysmart factory market


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The sausage making

of IoT is AI

Artificial Intelligence


AI IS ALREADY EVERYWHERE


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AIArtificial Creativity –Artificial life –Automated planning and scheduling –Automated reasoning –Automation –Automatic target recognition –Biologically inspired computing –Computer Audition –Computer vision –Diagnosis (artificial intelligence) –Expert system –Game artificial intelligence –Hybrid intelligent system –

Intelligent agent –Intelligent control –Knowledge management –

Concept mining –E-mail spam filtering –Information extraction –Knowledge representation –Semantic Web –

Machine learning –Natural language processing –Nonlinear control –Pattern recognition –Robotics –Speech generating device –Strategic planning –Vehicle infrastructure integration –Virtual Intelligence –Virtual reality –

Machine Learning“Doctors can be replaced by software – 80% of them can. I’d much rather have a good machine learning system diagnose my disease than the median or average doctor.”Vinod Khosla


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“SmartMode”


Typical ML Cycle

Historical source data

Predicted outcomes

Incident Data

Test data

Training data

80%

20%

Machine Learning Training

Machine Learning Models

Model weights

Quality Metric

Predicted outcomes


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Deep Learning

Showing impressive results for language modeling, POS tagging, named entity recognition, sentiment analysis and paraphrase detectionPerforms well without any external hand-designed resources or time-intensive feature engineering


Kinect for Windows

“…wearenotreallysurehowitworks.”MSFTLead

Algorithms


Decisions that affect our lives — are being made by mathematical models.In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated

Living in the Age of the algorithm

DECISIONS FAIRMODELS =

38Traveling salesm

an

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Runway scheduling heuristic

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"A tour of machine learning algorythm

s"Jason Brownlee

“I am in the camp that is concerned about super intelligence. First the machines will do a lot of jobs for us and not be super intelligent. That should be positive if we manage it well. A few decades after that though the intelligence is strong enough to be a concern. I agree with Elon Musk and some others on this and don’t understand why some people are not concerned.”

Bill Gates

“Success in creating AI would be the biggest event in human history,…” “Unfortunately, it might also be the last, unless we learn how to avoid the risks. In the near term, world militaries are considering autonomous-weapon systems that can choose and eliminate targets.” “…humans, limited by slow biological evolution, couldn’t compete and would be superseded by A.I.”

Stephen Hawking


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Karl Seiler | PresidentPIVIT – TURN [email protected]@pivitguru+321 750 5165

Algorithms of IoT

Data & Analytics

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