neil sahota - lunch & learn june 16, 2017

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

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Page 1: Neil Sahota - Lunch & Learn June 16, 2017

© 2016 International Business Machines Corporation

IBM Watson:Create the Future Today!

Neil Sahota (萨冠军 )06/16/2017

Page 2: Neil Sahota - Lunch & Learn June 16, 2017

2 © 2016 International Business Machines Corporation

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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3 © 2016 International Business Machines Corporation

Hello Computer!

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

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4 © 2016 International Business Machines Corporation

We’ve come a long way…

Imagination Innovation

… and this is only the beginning!

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5 © 2016 International Business Machines Corporation

Transform Today

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6 © 2016 International Business Machines Corporation

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7 © 2016 International Business Machines Corporation

A Brief History of IBM Watson

IBM ResearchProject

(2006 - )

Jeopardy!Grand

Challenge

(Feb 2011)

Watson for

Healthcare

(Aug 2011)

WatsonIndustry

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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8 © 2016 International Business Machines Corporation

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

Page 10: Neil Sahota - Lunch & Learn June 16, 2017

10 © 2016 International Business Machines Corporation

Putting the Pieces Together at Point of Impact Can Be Life Changing

Sym

pto

ms

UTI

Diabetes

Influenza

hypokalemia

Renal failure

no abdominal painno back painno coughno diarrhea

(Thyroid Autoimmune)

Esophagitis

pravastatinAlendronate

levothyroxinehydroxychloroquine

Diagnosis Models

frequent UTI

cutaneous lupus

hyperlipidemiaosteoporosis

hypothyroidism

Sym

ptoms

Fam

. History

Pat. H

istoryM

edicatio

ns

Fin

din

gs

Confidencedifficulty swallowing

dizziness

anorexia

fever dry mouththirst

frequent urination

Fa

mil

yH

isto

ry

Graves’ Disease

Oral cancerBladder cancer

HemochromatosisPurpura

Pa

tien

tH

isto

ryM

ed

icat

ion

s

Fin

din

gs

supine 120/80 mm HG

urine dipstick: leukocyte esterase

urine culture: E. Coliheart rate: 88 bpm

SymptomsA 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 HistoryHer 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.

MedicationsFindingsA 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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11 © 2016 International Business Machines Corporation

Video

Cognitive Dance Partyhttps://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 Europehttps://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/watch?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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20 © 2016 International Business Machines Corporation

Demo

IBM Watson Celebrity Match

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How would you use IBM Watson?

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22 © 2016 International Business Machines Corporation