About UCI Applied Innovation: UCI Applied Innovation is a dynamic, innovative central platform for the UCI campus, entrepreneurs, inventors, the business community and investors to collaborate and move UCI research from lab to market. About the Cove @ UCI: To accelerate collaboration by better connecting innovation partners in Orange County, UCI Applied Innovation created the Cove, a physical, state-of-the-art hub for entrepreneurs to gather and navigate the resources available both on and off campus. The Cove is headquarters for UCI Applied Innovation, as well as houses several ecosystem partners including incubators, accelerators, angel investors, venture capitalists, mentors and legal experts. Follow us on social media: Facebook: @UCICove Twitter: @UCICove Instagram: @UCICove LinkedIn: @UCIAppliedInnovation For more information: cove@uci.edu http://innovation.uci.edu/

1. © 2016 International Business Machines Corporation
IBM Watson:
Create the Future Today!
Neil Sahota ( 萨冠军 )
06/16/2017

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Introduction - Neil Sahota ( 萨冠军 )
 IBM Master Inventor
 WW Business Development Lead– IBM Watson Group
 Works with Global Fortune 500 clients and high growth business partners to ideate next
generation products/solutions powered by Watson
 Identify target markets, develop business cases, establish market launch strategy
 Industries: healthcare, life sciences, supply chain, travel and transportation, energy and
utilities, retail, automotive, telecommunications, media/communication, and government
 Business mentor for IBM Extreme Blue (incubator for new product development)
 Tech Coast Angel
 Cove Fund Investment Committee
 Professor at the Merage School of Business

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Hello Computer!
https://www.youtube.com/watch?v=hShY6xZWVGE

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We’ve come a long way…
Imagination Innovation
… and this is only the beginning!

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Transform Today

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A Brief History of IBM Watson
IBM Research
Project
(2006 - )
Jeopardy!
Grand
Challenge
(Feb 2011)
Watson
for
Healthcare
(Aug 2011)
Watson
Industry
Solutions
(2012 - )
R&D
Demonstration
Commercialization
Cross-industry
Scale up
New class of industry
specific business
analytics solutions
that leverage Big Data

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Cognitive computing
 Cognitive computing and cognitive based systems accelerate, enhance
and scale human expertise by:
Learning and building knowledge,
Understanding natural language and
Interacting more naturally with humans than traditional programmable systems
 Over time, cognitive systems will simulate more of how the brain actually
works and help us solve the world's most complex problems by penetrating
the complexity of Big Data
käg-nə-tiv (adjective): of, relating to, or involving conscious mental
activities (such as thinking, understanding, learning, and
remembering)

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Medical information
is doubling every 5
years, much of
which is
unstructured
81% of physicians
report spending 5
hours or less per
month reading
medical journals
The Healthcare Industry is beset with some of the most complex
information challenges we collectively face
Source: International Journal of Circumpolar Health, DoctorDirectory.com, Institute for Medicine"
“Medicine has become too complex (and only) about 20% of the knowledge clinicians use
today is evidence-based.” -----Steven Shapiro, Chief Medical Officer, UPMC

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Putting the Pieces Together at Point of Impact
Can Be Life Changing
Symptoms
UTI
Diabetes
Influenza
hypokalemia
Renal failure
no abdominal pain
no back pain
no cough
no diarrhea
(Thyroid Autoimmune)
Esophagitis
pravastatin
Alendronate
levothyroxine
hydroxychloroquine
Diagnosis Models
frequent UTI
cutaneous lupus
hyperlipidemia
osteoporosis
hypothyroidism
SymptomsFam.History
Pat.History
MedicationsFindings
Confidence
difficulty swallowing
dizziness
anorexia
fever
dry mouth
thirst
frequent urination
Family
History
Graves’ Disease
Oral cancer
Bladder cancer
Hemochromatosis
Purpura
Patient
HistoryMedicationsFindings
supine 120/80 mm HG
urine dipstick:
leukocyte esterase
urine culture: E. Coli
heart rate: 88 bpm
Symptoms
A 58-year-old woman complains of
dizziness, anorexia, dry mouth, increased
thirst, and frequent urination. She had
also had a fever. She reported no pain in
her abdomen, back, and no cough, or
diarrhea.
A 58-year-old woman presented to her
primary care physician after several days
of dizziness, anorexia, dry mouth,
increased thirst, and frequent urination.
She had also had a fever and reported
that food would “get stuck” when she was
swallowing. She reported no pain in her
abdomen, back, or flank and no cough,
shortness of breath, diarrhea, or dysuria
Family
History
Her family history included oral and
bladder cancer in her mother, Graves'
disease in two sisters, hemochromatosis
in one sister, and idiopathic
thrombocytopenic purpura in one sister
Patient History
Her history was notable for cutaneous
lupus, hyperlipidemia, osteoporosis,
frequent urinary tract infections, a left
oophorectomy for a benign cyst, and
primary hypothyroidism, diagnosed a
year earlier
Her medications were levothyroxine,
hydroxychloroquine, pravastatin, and
alendronate.
MedicationsFindings
A urine dipstick was positive for
leukocyte esterase and nitrites. The
patient given a
prescription fo ciprofloxacin for a
urinary tract infection. 3 days later,
patient reported weakness and
dizziness. Her supine blood pressure
was 120/80 mm Hg, and pulse was
88.
• Extract Symptoms from record
• Use paraphrasings mined from text to handle alternate
phrasings and variants
• Perform broad search for possible diagnoses
• Score Confidence in each diagnosis based on
evidence so far
• Extract Symptoms from record
• Use paraphrasings mined from text to handle alternate
phrasings and variants
• Perform broad search for possible diagnoses
• Score Confidence in each diagnosis based on
evidence so far
• Identify negative Symptoms
• Reason with mined relations to explain away
symptoms (thirst is consistent w/ UTI)
• Identify negative Symptoms
• Reason with mined relations to explain away
symptoms (thirst is consistent w/ UTI)
• Extract Family History
• Use Medical Taxonomies to generalize medical
conditions to the granularity used by the models
• Extract Family History
• Use Medical Taxonomies to generalize medical
conditions to the granularity used by the models
• Extract Patient History• Extract Patient History• Extract Medications
• Use database of drug side-effects
• Together, multiple diagnoses may best explain
symptoms
• Extract Findings: Confirms that UTI was present
• Extract Medications
• Use database of drug side-effects
• Together, multiple diagnoses may best explain
symptoms
• Extract Findings: Confirms that UTI was present
Most Confident Diagnosis: DiabetesMost Confident Diagnosis: UTIMost Confident Diagnosis: EsophagitisMost Confident Diagnosis: Influenza

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Video
Cognitive Dance Party
https://www.youtube.com/watch?v=rMqrs3nBU10

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IBM Watson Cybersecurity

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Why Cognitive Computing?
 Need to tackle a new class of complex problems
 Ambiguous
 Uncertain
 Focus on “best” rather than “right”
 Understand how to marry dynamic, information-rich, and shifting
situations with business needs
 Understanding interactions, not just requirements

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IBM Watson
IBM Watson Developer Cloud
http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/
IBM Watson Products
 Watson Wealth Manager
 Watson Explorer
 Watson Discovery Advisor
 Watson Knowledge Studio
 Watson Engagement Advisor
 Watson for Oncology
 Watson Clinical Trial Matching

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IBM Watson in Action

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AI in Action
Financial
Services
Digital
Marketing
Education
Talent
Management
Sports
Healthcare

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Watson Beat
Watson Beat - Startup fest Europe
https://www.youtube.com/watch?v=C0bAVSgSN5U

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IBM Watson Examples
Meet the World's 1st
Robotic Lawyer,
ROSS
https://www.youtube.com/wa
tch?v=sbwEO8-Vox0
Watson Analytics:
International Real
Estate Agent
https://www.youtube.com/watch?
v=mvJkkSq7_dE

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Example
Two Truths & A Lie with Watson
https://www.2truthswithwatson.com/

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Demo
IBM Watson Celebrity Match

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How would you use IBM Watson?

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