The possibilities that IoT brings to the table are endless. IoT continues its run as one of the most popular technology buzzwords of the year, and now the new phase of IoT is pushing everyone to ask hard questions about the data collected by all devices and sensors of IoT.

1. How Artificial Intelligence
Will Kickstart the Internet
of Things
Ahmed Banafa
College of Engineering
San Jose State University
San Jose, CA , USA

2.  The possibilities that IoT brings to the
table are endless.
 IoT continues its run as one of the
most popular technology buzzwords of
the year, and now the new phase of
IoT is pushing everyone to ask hard
questions about the data collected by
all devices and sensors of IoT.

3.  IoT will produce a tsunami of big data,
with the rapid expansion of devices
and sensors connected to the Internet
of Things continues, the sheer volume
of data being created by them will
increase to an astronomical level.
 This data will hold extremely valuable
insights into what’s working well or
what’s not.

4.  IoT will point out conflicts that arise
and provide high-value insight into
new business risks and opportunities
as correlations and associations are
made.

5. Growth of the IoT

7. Examples of IoT data

8.  Data that helps cities predict accidents
and crimes
 Data that gives doctors real-time insight
into information from pacemakers or
biochips
 Data that optimize productivity across
industries through predictive
maintenance on equipment and
machinery
 Data that creates truly smart homes with
connected appliances
 Data that provides critical communication
between self-driving cars

9. But…!

10.  That’s the good news, but it’s simply
impossible for humans to review and
understand all of this data with traditional
methods, even if they cut down the
sample size, simply takes too much time.
 The big problem will be finding ways to
analyze the deluge of performance data
and information that all these devices
create.
 Finding insights in terabytes of machine
data is a real challenge, just ask a data
scientist.

11.  But in order for us to harvest the full
benefits of IoT last mile (data), we
need to improve:
◦ Speed of big data analysis
◦ Accuracy of big data analysis

12. The only way to keep up with this IoT-
generated data and gain the hidden
insights it holds is using AI (Artificial
Intelligence) as the last mile of IoT.

13. Natural Language of IoT

15. Artificial intelligence (AI)
and IoT

16.  Artificial intelligence (AI) is the
intelligence exhibited by machines or
software.
 It is an academic field of study which
generally studies the goal of emulating
human-like intelligence.
 John McCarthy, who coined the term in
1955, defines it as "the science and
engineering of making intelligent
machines"

17.  In an IoT situation, AI can help
companies take the billions of data
points they have and boil them down
to what’s really meaningful.
 The general premise is the same as in
the retail applications – review and
analyze the data you’ve collected to
find patterns or similarities that can be
learned from, so that better decisions
can be made.

18.  To be able to call out potential
problems, the data has to be analyzed
in terms of what’s normal and what’s
not.
 Similarities, correlations and
abnormalities need to be quickly
identified based on the real-time
streams of data.
 The data collected, combined with AI,
makes life easier with intelligent
automation, predictive analytics and
proactive intervention.

19. AI in IoT applications

20.  Visual big data, for example – will allow
computers to gain a deeper understanding of
images on the screen, with new AI
applications that understand the context of
images.
 Cognitive systems will create new recipes
that appeal to the user’s sense of taste,
creating optimized menus for each individual,
and automatically adapting to local
ingredients.
 Newer sensors will allow computers to “hear,”
gathering sonic information about the user’s
environment.

21.  These are just a few promising
applications of Artificial Intelligence in
IoT.

22.  The potential for highly individualized
services are endless and will
dramatically change the way people live,
for example helping Pandora to
determine what other songs you may
like, Amazon.com to suggest other
books and movies to you and your
doctor would receive notification if a
certain condition was met – your heart
rate increased to an unsafe level.

23. Challenges facing AI in IoT

24.  Compatibility
 Complexity
 Privacy/Security
 Safety
 Ethical and legal Issues
 Artificial Stupidity

25. What is next …?

26.  Gartner predict that by 2018, 6 billion
connected objects will be requesting
support – meaning that strategies,
technologies and processes will have
to be in place to respond to them.

27.  It will become necessary to think of
connected devices less as ‘things’, but
more as customers and consumers of
services in themselves – and as such
in need of constant support.

28.  The need for AI will be more
prominent at that stage under the
pressure of the huge number of
devices and sensors.

29. Thank you!