Artificial intelligence and machine learning are technologies that 43% of IT decision makers believe need investment. 61% of innovative businesses use AI to uncover new data opportunities. By 2020, insights-driven businesses will gain $1.2 trillion annually from less informed competitors. 81% of executives believe AI will significantly impact their business in the next four years.

1. Artificial Intelligence
& Machine Learning
– A CIOs Perspective
Ken Piddington

3. 43%
of IT decision-makers believe Artificial
Intelligence is one of the top technologies they
need to invest in
(source: eMarketer 2017)

4. 61%
of businesses with an active innovation
strategy are using Artificial Intelligence to
uncover new data opportunities that their
other analytics solutions would have missed
(source: Narrative Science 2017)

5. $1.2 trillion
amount insights-driven businesses will steal
per annum from their less-informed peers
– by 2020
(source: Forrester Predictions 2017: Artificial Intelligence will Drive the Insights Revolution)

6. 81%
of business executives believe that Artificial
Intelligence & Machine Learning will
dramatically effect their businesses within the
next four years
(source: eMarketer 2017)

7. What is Artificial Intelligence?

9. Artificial Intelligence (AI)
the theory and development of computer systems able
to perform tasks that normally require human
intelligence, such as visual perception, speech
recognition, decision-making, and translation
between languages

10. Machine Learning
an application of Artificial Intelligence (AI) that
provides systems the ability to automatically learn
and improve from experience without being
explicitly programmed

11. Deep Learning
part of a broader family of Machine Learning based
on learning data representations, as opposed to task
specific algorithms

12. Robotic Process
Automation (RPA)
the application of technology that allows a person to
configure computer software or a robot to capture
and interpret existing applications for processing a
transaction, manipulating data, triggering
responses, and communicating with other digital
systems

13. Cognitive Automation
brings together a variety of Artificial Intelligence
(AI), Machine Learning, and Robotic Process
Automation (RPA) to enable organizations to
emulate and enhance the strength of the
human mind

15. There are sexy and not so sexy use
cases for Artificial Intelligence –
don’t focus only on the sexy ones

16. Find ways to reduce the Run cost of IT
- reinvest savings in people, process,
and technology to Transform the
business

17. Artificial Intelligence will have a huge
impact on technology talent

18. Majority of organizations are very
immature in their Artificial Intelligence
capabilities – develop a multifaceted
strategy to increase maturity level

19. Utilize your peers, network, industry,
and universities to gain knowledge and
get ahead on the
Artificial Intelligence curve

20. Create an environment for your teams
to experiment with Artificial
Intelligence concepts and technologies

21. “AI is only as good as the data that we can
feed it” - BYRON REESE
"The Power of Artificial Intelligence is to Make Better Decisions", Huffington Post,
January 28, 2017

22. Without great data management
capabilities able to deliver data at the
speed of business you are wasting your
time with Artificial Intelligence

23. Understand your audience and
communicate about Artificial
Intelligence from a business value
perspective – not a technical
perspective

24. Technology Doesn’t Provide Value To A Business
Technology’s Value Comes From Doing Business
Differently Because Technology Made It Possible

25. “A lot of what AI is being used for today only
scratches the surface of what can be done. It
will become so ubiquitous that we won't
even call it AI anymore” - BABAK HODJAT
"AI Meets ROI: Where Artificial Intelligence Is Already Smart Business", Investor's
Business Daily, March 10, 2016

28. Ken Piddington
kpiddington@mre-consulting.com
https://www.linkedin.com/in/kenpiddington
@kenpiddington