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AI & Machine Learning
by John C. Liu, Ph.D. CFA
Nashville CIO Council
November 9, 2018
Disclaimer
THE INFORMATION SET FORTH HEREIN HAS BEEN OBTAINED OR DERIVED FROM SOURCES GENERALLY
AVAILABLE TO THE PUBLIC AND BELIEVED BY THE AUTHOR TO BE RELIABLE, BUT THE AUTHOR DOES NOT MAKE
ANY REPRESENTATION OR WARRANTY, EXPRESS OR IMPLIED, AS TO ITS ACCURACY OR COMPLETENESS. THE
INFORMATION IS FOR EDUCATIONAL PURPOSES ONLY AND IS NOT INTENDED TO BE USED AS THE BASIS OF ANY
BUSINESS OR INVESTMENT DECISIONS BY ANY PERSON OR ENTITY. ALL OF THE INFORMATION CONTAINED IN
THE PRESENTATION IS SUBJECT TO FURTHER MODIFICATION AND ANY AND ALL FORECASTS, PROJECTIONS OR
FORWARD-LOOKING STATEMENTS CONTAINED HEREIN SHALL NOT BE RELIED UPON AS FACTS NOR RELIED
UPON AS ANY REPRESENTATION OF FUTURE RESULTS WHICH MAY MATERIALLY VARY FROM SUCH
PROJECTIONS AND FORECASTS. THIS INFORMATION DOES NOT CONSTITUTE INVESTMENT ADVICE, NOR IS IT AN
OFFER OR A SOLICITATION OF AN OFFER TO BUY OR SELL ANY SECURITY.
WHAT WE DO
Cognitive Computing
platform that understands
human communication
OFFICE LOCATIONS:
Nashville
Washington
New York
London
INVESTORS:
Goldman Sachs, Credit
Suisse, Nasdaq, In-Q-Tel,
HCA & Lemhi Ventures
RESULTS PROVEN IN:
Government
Financial Services
Health Care
Data Science
STRATEGIC PARTNERS
DIGITAL REASONING
THE POWER TO IMPROVE YOUR WORLD
ARTIFICIAL
INTELLIGENCE:
The ability of a machine
to replicate intelligent
human behavior
MACHINE
LEARNING:
The ability to improve
performance on a task
progressively, without
being explicitly
programmed
4 Big Ideas
Data Driven Decision Making
Cloud Computing
Machine Learning
COGNITIVE
COMPUTING:
ML + BigData + NLP
OUTLOOK
WORLDWIDE
SPENDING ON
COGNITIVE AND
ARTIFICIAL
INTELLIGENCE SYSTEMS
WILL REACH $19.1
BILLION IN 2018
SOURCE: IDC
40% OF DIGITAL
TRANSFORMATION
INITIATIVES WILL USE AI
SERVICES.
AI SPENDING WILL
GROW TO $52.2
BILLION IN 2021.
SOURCE: IDC
AI Spending in Retail ($3.4B)
AI Spending in Banking ($3.3B)
AI Spending in Manufacturing ($2B)
AI Spending in
Healthcare ($1.7B)
WHERE ARE COMPANIES SPENDING?
In the Cloud
On
Data
Science
Teams
On ML Tools
On Deep Learning
On Microservices/Mesh
With
Lots of
Proof-of-
Concepts
What	is	working?	WHAT HAS TRACTION?
Applications
Majority
•  SPAM filtering
•  Business Analytics
•  Risk Scoring (insurance, banking, credit cards)
Early Adopters
•  RPA (e-discovery, QA)
•  Customer Service (chatbots)
•  Marketing (sales lead automation)
•  Behavior Design (captology)
Market Effect
Source: Grand View Research
The Next 5 Years, We Will See…
Innovation in HR Analytics
Sales(people)
Automation
NLG in News Media
Automated Voice
Customer
Service
AI in Healthcare
MAYBE IN A FEW MORE YEARS.
Thank you.
Power to Improve Your World

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