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IBM Watson
10.9.17/ Phil Salm
The	Power	of	Artificial	
Intelligence
About Your Speaker
Phil Salm
email: phil.salm@cdw.com
Twitter: @PhilSalm
• Analytics Solution Architect at CDW focused on
solutions for Healthcare and Education
• Been with CDW for 16 years
• Thesis research on developing predictive models for
identifying patients at risk for premature
readmission to hospitals (Northwestern MS in
Predictive Analytics)
• Helped customers with IBM enterprise software
solutions for the past 19 years as developer,
consultant and pre-sales resource
• Father of 3 daughters
| © CDW LLC 20142
Agenda
• CDW’s Analytics Practice
• What is AI?
• IBM Cognitive Solutions
• Little ‘Dub Demo
CDW Analytics: UNLOCKING DATA’S POSSIBILITIES
IoT
ANALYTICS
IT
OPERATIONAL
ANALYTICS
DATA
MANAGEMENT
BUSINESS
INTELLIGENCE
MACHINE
LEARNING
What is Artificial Intelligence?
| © CDW LLC 20145
| © CDW LLC 20146
From The New York Times, July 8, 1958
“The Navy revealed the embryo of an electronic computer
today that it expects will be able to walk, talk, see,
write, reproduce itself an be conscious of its
existence … Dr. Frank Rosenblatt, a research psychologist
at the Cornell Aeronautical Laboratory, Buffalo, said
Perceptrons might be fired to the planets as mechanical
space explorers”
Winter is Coming… the AI winter
| © CDW LLC 20147
AI Spring
• At the turn of the
century, some major
breakthroughs
(Hinton)
• 2011 IBM Watson
wins on Jeopardy
• In 2016, there were
4x the number of
articles referencing
artificial intelligence
compared to 2014
| © CDW LLC 20148
| © CDW LLC 20149
Decomposing Intelligence
McKinsey: ARTIFICIAL INTELLIGENCE THE NEXT
DIGITAL FRONTIER?
| © CDW LLC 201410
Deep Learning
| © CDW LLC 201412
Key Ingredient to Avoid Overfitting
| © CDW LLC 201413
Not just for video games anymore
| © CDW LLC 201414
Sample from Range of IBM Cognitive Solutions
Embedded	
ML
Watson	
Analytics
Qradar with	
Watson	
Advisor
ML	GUIs
SPSS	Modeler
Watson	
Explorer
Watson	
Discovery
ML	APIs
Watson	APIs
Full	ML
Data	Science	
Experience
PowerAI
Industry	
Solutions
Watson	for	
Clinical	Trial	
Matching
Watson	
Element	for	
Educators
| © CDW LLC 201415
Watson APIs
Conversation
Conversation
Virtual	Agent
Vision
Visual	
Recognition
Speech
Speech	to	text
Text	to	speech
Empathy
Personality	
Insights
Tone	Analyzer
Language
Language	
Translator
Natural	
Language	
Classifier
Discover
Natural	
Language	
Understanding
Knowledge	
Studio
Discovery
Discovery	News
Document	
Conversion
Who am I?
Demo of IBM Watson Visual Recognition API
| © CDW LLC 201417
Visual Recognition Demo: What’s Happening?
1. Little	Dub	
takes	
photo	and	
sends	to	
Watson
2. Watson	
receives	photo	
and	runs	it	
through	visual	
classifier
3. Watson	identifies	
categories	and	
confidence	levels	
and	returns	results	
in	JSON	format
4. Little	Dub	receives	
the	results,	parses	
them,	and	uses	
native	text	to	speech	
to	give	results
| © CDW LLC 201418
John Deere & Visual Analytics
• Spent $305 million to
acquire Blue River
Technology
• “See and spray”
technology
• Blue River claims it
can save “up to 90
percent” of the
volume of chemicals
being sprayed, while
also reducing labor
costs.
Paging Dr. Twitter
Demo of IBM Watson Personality Insights API
| © CDW LLC 2014
1
9
| © CDW LLC 201420
Personality Insights Demo: What’s Happening?
1. Little	Dub	
retrieves	
last	200	
tweets.
2. Watson	receives	
tweets,	recognizes	
text,		and	runs	it	
through	PI	service.
3. Watson	prepares	
lengthy	
personality	profile	
and	returns	results	
in	JSON	format.
4. Little	Dub	receives	
the	results,	parses	
them,	and	uses	
native	text	to	speech	
to	give	results.
NLP real-life example: Readmission Predictors at
Seton Healthcare
The Data They Thought Would Be Useful … Wasn’t
• Structured data not available, not accurate enough, without the unstructured data - which was
more trustworthy
What They Thought Was Causing 30 Day Readmissions … Wasn’t
• 113 possible candidate predictors expanded and changed after mining the data for hidden
insights
New Hidden Indicators Emerged … Readmissions is a Highly Predictive Model
• 18 accurate indicators or predictors
Predictor Analysis %	Encounters
Structured Data
%	Encounters
Unstructured	Data
Ejection	Fraction	(LVEF) 2% 74%
Smoking	Indicator 35%
(65%	Accurate)
81%
(95% Accurate)
Living	Arrangements <1% 73%
(100% Accurate)
Drug	and	Alcohol	Abuse 16% 81%
Assisted	Living 0% 13%
97%	at	80th percentile
49%	at	20th percentile
| © CDW LLC 201422
Fear Not…
| © CDW LLC 201423
Recommended Reading
THANK YOU
Come	up	and	have	Little	‘Dub	
tweet	a	photo	of	you.

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Nutanix Event - Watson AI Presentation

  • 1. IBM Watson 10.9.17/ Phil Salm The Power of Artificial Intelligence
  • 2. About Your Speaker Phil Salm email: phil.salm@cdw.com Twitter: @PhilSalm • Analytics Solution Architect at CDW focused on solutions for Healthcare and Education • Been with CDW for 16 years • Thesis research on developing predictive models for identifying patients at risk for premature readmission to hospitals (Northwestern MS in Predictive Analytics) • Helped customers with IBM enterprise software solutions for the past 19 years as developer, consultant and pre-sales resource • Father of 3 daughters | © CDW LLC 20142
  • 3. Agenda • CDW’s Analytics Practice • What is AI? • IBM Cognitive Solutions • Little ‘Dub Demo
  • 4. CDW Analytics: UNLOCKING DATA’S POSSIBILITIES IoT ANALYTICS IT OPERATIONAL ANALYTICS DATA MANAGEMENT BUSINESS INTELLIGENCE MACHINE LEARNING
  • 5. What is Artificial Intelligence? | © CDW LLC 20145
  • 6. | © CDW LLC 20146 From The New York Times, July 8, 1958 “The Navy revealed the embryo of an electronic computer today that it expects will be able to walk, talk, see, write, reproduce itself an be conscious of its existence … Dr. Frank Rosenblatt, a research psychologist at the Cornell Aeronautical Laboratory, Buffalo, said Perceptrons might be fired to the planets as mechanical space explorers”
  • 7. Winter is Coming… the AI winter | © CDW LLC 20147
  • 8. AI Spring • At the turn of the century, some major breakthroughs (Hinton) • 2011 IBM Watson wins on Jeopardy • In 2016, there were 4x the number of articles referencing artificial intelligence compared to 2014 | © CDW LLC 20148
  • 9. | © CDW LLC 20149 Decomposing Intelligence
  • 10. McKinsey: ARTIFICIAL INTELLIGENCE THE NEXT DIGITAL FRONTIER? | © CDW LLC 201410
  • 12. | © CDW LLC 201412 Key Ingredient to Avoid Overfitting
  • 13. | © CDW LLC 201413 Not just for video games anymore
  • 14. | © CDW LLC 201414 Sample from Range of IBM Cognitive Solutions Embedded ML Watson Analytics Qradar with Watson Advisor ML GUIs SPSS Modeler Watson Explorer Watson Discovery ML APIs Watson APIs Full ML Data Science Experience PowerAI Industry Solutions Watson for Clinical Trial Matching Watson Element for Educators
  • 15. | © CDW LLC 201415 Watson APIs Conversation Conversation Virtual Agent Vision Visual Recognition Speech Speech to text Text to speech Empathy Personality Insights Tone Analyzer Language Language Translator Natural Language Classifier Discover Natural Language Understanding Knowledge Studio Discovery Discovery News Document Conversion
  • 16. Who am I? Demo of IBM Watson Visual Recognition API
  • 17. | © CDW LLC 201417 Visual Recognition Demo: What’s Happening? 1. Little Dub takes photo and sends to Watson 2. Watson receives photo and runs it through visual classifier 3. Watson identifies categories and confidence levels and returns results in JSON format 4. Little Dub receives the results, parses them, and uses native text to speech to give results
  • 18. | © CDW LLC 201418 John Deere & Visual Analytics • Spent $305 million to acquire Blue River Technology • “See and spray” technology • Blue River claims it can save “up to 90 percent” of the volume of chemicals being sprayed, while also reducing labor costs.
  • 19. Paging Dr. Twitter Demo of IBM Watson Personality Insights API | © CDW LLC 2014 1 9
  • 20. | © CDW LLC 201420 Personality Insights Demo: What’s Happening? 1. Little Dub retrieves last 200 tweets. 2. Watson receives tweets, recognizes text, and runs it through PI service. 3. Watson prepares lengthy personality profile and returns results in JSON format. 4. Little Dub receives the results, parses them, and uses native text to speech to give results.
  • 21. NLP real-life example: Readmission Predictors at Seton Healthcare The Data They Thought Would Be Useful … Wasn’t • Structured data not available, not accurate enough, without the unstructured data - which was more trustworthy What They Thought Was Causing 30 Day Readmissions … Wasn’t • 113 possible candidate predictors expanded and changed after mining the data for hidden insights New Hidden Indicators Emerged … Readmissions is a Highly Predictive Model • 18 accurate indicators or predictors Predictor Analysis % Encounters Structured Data % Encounters Unstructured Data Ejection Fraction (LVEF) 2% 74% Smoking Indicator 35% (65% Accurate) 81% (95% Accurate) Living Arrangements <1% 73% (100% Accurate) Drug and Alcohol Abuse 16% 81% Assisted Living 0% 13% 97% at 80th percentile 49% at 20th percentile
  • 22. | © CDW LLC 201422 Fear Not…
  • 23. | © CDW LLC 201423 Recommended Reading