IoT Change Driven By Algorithms & AI

Algorithms & IoT
World Change Driven By
The Unseen
March 31, 2017

PIVIT | Turn Smart karl@piviting.com l www.piviting.com | +1 321 750 5165
O U R C O M P A N Y A B O U T U S I N F O G R A P H I C S C O N T A C T
HELPING YOU CREATE ARTIFICIAL INTELLIGENCE INFUSED APPS & SERVICES
2
Applied AI Strategy
Product Management
From Build To Launch
Process Mentoring
Invent, Learn, Turn

HELPING YOU CREATE ARTIFICIAL INTELLIGENCE INFUSED APPS & SERVICES
3

Today
4
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

6

7
Inflexion
Market insiders
rarely predict the
expansion duration
correctly

8
13 y1900 1913
HORSE
CAR

9
7 y1993
Expected 900K
2000 (109M)
Landline
Cell Phone

10
5 y
2020
20% efficient
$15,000 in gas
2,000+ moving
parts
2025
95% efficient
$1,500 in gas
18 moving parts
Greater torque
$30k unsubsidized
GAS AUTO
ELECTRIC CAR

11
12 y
2018
No more peakers
2009 zero money down
Since 2000 doubles capacity every 2
years
Below grid parity worldwide by 2017
2030 = 100% PV
2400 x improvement in cost over oil
Solar is 6000x cheaper than N-gas
OIL & GAS SOLAR

12
50+ billion
connected things
by 2020
Inflexion

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
“
14

WHAT IS IOT?
15
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?
16
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 by
2020
$15
billion
Spent on smart
home in 2015
$2
trillion
Industrial impact
by 2020
$500
B/y
Driverless market
$100
B/y
smart office
50+
billion
Spent on IoT
in next 5 years
$6
trillion
biz
Lower costs,
increase
productivity,
open markets
gov
Improve
citizens quality
of life
$1
trillion
Smart city market
$2
t/y
smart factory
market

20
The sausage
making
of IoT
is AI

AI IS ALREADY EVERYWHERE

24
AI
Artificial 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

27
“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

30

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

Kinect for Windows
“…we are
not really
sure how it
works.”
MSFT Lead

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
=

40
"Atourofmachinelearningalgorythms"JasonBrownlee

“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

45

46
Thank You
Get in touch with us!
46
Karl Seiler | President
PIVIT – TURN SMART
karl@piviting.com
Piviting.com
@pivitguru
+321 750 5165

IoT Change Driven By Algorithms & AI

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to IoT Change Driven By Algorithms & AI

Similar to IoT Change Driven By Algorithms & AI (20)

More from Karl Seiler

More from Karl Seiler (13)

Recently uploaded

Recently uploaded (20)

IoT Change Driven By Algorithms & AI