A review of some of my thoughts on AI in the enterprise.

1. AI & Business
Opportunities and Dangers
Will Murphy
@willmurphy
Talla.com

2. MY BACKGROUND
2
2001 – 2016 FedEx 2016
Pioneer in the use of cross-
company APIs to create new
platforms
Pioneer in the area
Intelligent Agents.
Pioneer in the area of IoT
Sensor-based logistics.
FedEx IT Corporate Entrepreneur Startup Entrepreneur
API
Connect companies
via tech
Connect physical/
digital worlds
Create new intelligent agents that
connect people and machines

3. MY BACKGROUND
3

4. MY BACKGROUND
4
This is a presentation for executives and entrepreneurs.
I’m not an A.I. expert exploring innovation.
I’m an innovation expert exploring A.I.

5. Overview
Dangers
Opportunities

6. WHAT IS A.I. ?
6
Artificial Intelligence (A.I.)
A branch of computer science
focused on getting computers
to exhibit intelligence.
Machine Learning
A set of techniques for
computers to have cognitive
functions.
Deep Learning
Successful Machine Learning techniques
that use Neural Nets with additional layers
(deep).

7. WHAT IS A.I. ?
7
A.I.
A branch of computer science
focused on getting computers
to exhibit intelligence.
Machine Learning
A range of techniques for
computers to have cognitive
functions.
(Mainly pattern recognition
and prediction.)
Deep Learning
Type of Machine Learning that uses
Neural Nets with additional layers (deep).
(Accurate and productive)
Applied A.I. technology
Pattern Recognition & Prediction
Which leads to…
Perception, insights, decisions, automation
What we are usually discussing:
Narrow A.I. (focused)

8. ALPHAGO: UNMASKED INTELLIGENCE
8
Sources:
http://arstechnica.com/information-technology/2017/01/alphago-is-back-and-secretly-crushing-the-worlds-best-human-players/
http://www.wsj.com/articles/ai-program-vanquishes-human-players-of-go-in-china-1483601561
“After humanity spent thousands of years
improving our tactics, computers tell us that
humans are completely wrong,”
Mr. Ke, 19, wrote on Chinese social media platform
Weibo after his defeat.
“I would go as far as to say not a single human
has touched the edge of the truth of Go.”

9. TECH IS DOMINATING

10. TECH IS DOMINATING

11. Data is the oil that fuels A.I.

12. A.I. IS THE TECH FOCUS RIGHT NOW
12
"It’s the first inning. It might even be the first guys up
at bat. We're on the edge of the golden age [of A.I.].”
- Jeff Bezos, CEO, Amazon
“In the long run, I think we will evolve in computing
from a mobile-first to an A.I.-first world.”
- Sundar Pichai, CEO, Google

13. THE INTELLIGENT AUTOMATION AGE
13
The Web connects
millions of people.
The Internet becomes
more social, creating
networks of people.
Mobile + Internet +
social capabilities –
create networks of
people. Collaborative
commerce begins.
CONNECTED
1995
SOCIAL
2005
COLLABORATIVE
2010
INTELLIGENT
AUTOMATION
2015
Intelligent automation
augments humans then
replaces them.

14. TRANSITIONING TO THE INTELLIGENT AUTOMATION AGE
14
CONNECTED
1995
SOCIAL
2005
COLLABORATIVE
2010
INTELLIGENT
AUTOMATION
2015
Hybrid
UI
Mobile
Interface
Browser
The Web connects
millions of people.
The Internet becomes
more social, creating
networks of people.
Mobile + Internet +
social capabilities –
create networks of
people. Collaborative
commerce begins.
Intelligent automation
augments humans then
replaces them.
A.I.
Smart
Phone
Web
Interface
Tech

17. Overview
Dangers
Opportunities

18. More intelligence,
More problems
A.I. dangers

19. 19
EXISTENTIAL DANGERS
Optimization without
humanity
Too much like humanity
(but more powerful)

20. 20
EXISTENTIAL DANGERS
Optimization without
humanity
Too much like humanity
(but more powerful)
But, I don’t want to talk about that.
Let’s talk about business dangers
that will happen sooner.

21. DATA MONOPOLIES

22. DATA MONOPOLIES
22
Data * Processing * Talent
Do we need data neutrality?

23. POTENTIAL SOLUTIONS
23
Decentralization:
• Build policies that encourage decentralization of data
• Blockchains for data decentralization?
Data Valuation Statement Tax (Will cover proposal later)
• Retained data could be taxed at an increasing rate (more
data, more tax)

24. A.I. Overview & Issues
Dangers
Opportunities

25. 25
A.I. IN BUSINESS
Legal
Health
Marketing & Sales
Transportation Finance
Customer Service
Security
Office Workflow Automation
Decisions, actions, communication, and insights

26. DATA ABRITRAGE
Opportunities created by data being worth
different amounts in different contexts.

27. 27
DATA VALUATION MODEL
Time Value
Legal
Constraints
Context
Value
Quality Access
Training
Value
New: Data Valuation Statement

28. 28
RECOMMENDATIONS FOR ENTERPRISE
Create Your
Data Resources
Strategy
Data Value Model
Design products
that learn
Look For
Valuable Data
Sets
(Sell, Data Arbitrage)
Create ideas
using Sense &
Respond
Utilize your
Innovation &
Data Science
Groups
Utilize
Networked A.I.
A.I. strategy is just part of your business strategy and data strategy

29. 29
AI SENSE & RESPOND FRAMEWORK
Predict
operational
challenges
Which customers
are the best?
What text
performs the best
upsells?
Find future
customers,
predict optimal
marketing
Optimize
processes,
identify experts
Pattern Recognition Prediction
Operational
Efficiency
Generate
Revenue
Notify experts
when an
operational
challenge is
predicted.
Automatically
contact best
customers and
upsell using the
optimal text.
Automation
SENSE
(Perception, insights, decisions)
RESPOND
(Actions)

30. 30
Where technology and A.I. is headed
It will the water we will swim in.

31. Will Murphy
@willmurphy
Talla.com
sales@talla.com
Thank You!