cognitive computing ein update rund um watson

Cognitive Computing –

Ein Update rund um Watson

Nicole Roik

Solution Sales Professional for Cognitive and Analytics

in Insurance

Executive IT Architect

© 2017 INTERNATIONAL BUSINESS MACHINES CORPORATION

Was ist Cognitive?

2

Beobachten

Interpretieren

Evaluieren

Entscheiden

Lernen

Motorische Funktion

Planung

Vorstellung

Emotionalität

4

© 2017 IBM Corporation

IBM Watson at Jeopardy

Natural Language & Evidence based &

Learning5

Welches sind die wesentlichen Bausteine von

Watson?

© 2017 International Business Machines Corporation6

Kognitive Systeme erschaffen eine neue Partner-

schaft zwischen Menschen und Technologie.

wo Menschen

brillieren:

Dilemmata

Mitgefühl

Träumen

Abstraktion

Vorstellungskraft

Moral

Generalisierung

wo kognitive

Systeme brillieren:

gesunder Menschenverstand

Wissen lokalisieren

Mustererkennung

Machine Learning

Vorurteile eliminieren

Beliebige Kapazität

Kreativität


Beispiel für evidenzbasierte Diagnosefindung

•Extract Symptoms from record

•Use paraphrasings mined from text to handle alternate

phrasings and variants

Sym

pto

ms

difficulty swallowing

dizziness

anorexia

fever

dry mouth

thirst

frequent urination

Symptoms

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






•Perform broad search for possible diagnoses

•Score Confidence in each diagnosis based on evidence

so far

Most Confident Diagnosis: Influenza

Sym

pto

ms

UTI

Diabetes

Influenza

Hypokalemia

Renal failure

Diagnosis Models Confidence


dizziness

anorexia

fever

dry mouth

thirst

frequent urination

Symptoms

















so far

• Identify negative Symptoms

Most Confident Diagnosis: Diabetes

Sym

pto

ms

UTI

Diabetes

Influenza

Hypokalemia

Renal failure

no abdominal pain

no back pain

no cough

no diarrhea



dizziness

anorexia

fever

dry mouth

thirst

frequent urination

Symptoms

















so far


•Reason with mined relations to explain away symptoms

(thirst is consistent w/ UTI)

Most Confident Diagnosis: UTI

Sym

pto

ms

UTI

Diabetes

Influenza

Hypokalemia

Renal failure

no abdominal pain

no back pain

no cough

no diarrhea



dizziness

anorexia

fever

dry mouth

thirst

frequent urination

Symptoms

















so far




• Extract Family History

• Use Medical Taxonomies to generalize medical

conditions to the granularity used by the models

Most Confident Diagnosis: Diabetes

Sym

pto

ms

UTI

Diabetes

Influenza

Hypokalemia

Renal failure

no abdominal pain

no back pain

no cough

no diarrhea

(Thyroid Autoimmune)



dizziness

anorexia

fever

dry mouth

thirst

frequent urination

Fam

ily

His

tory

Graves’ Disease

Oral cancer

Bladder cancer

Hemochromatosis

Purpura

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








so far








Sym

pto

ms

UTI

Diabetes

Influenza

Hypokalemia

Renal failure

no abdominal pain

no back pain

no cough

no diarrhea


Diagnosis Models

frequent UTI

cutaneous lupus

hyperlipidemia

osteoporosis

hypothyroidism

Confidence


dizziness

anorexia

fever

dry mouth

thirst

frequent urination

Fam

ily

His

tory

Graves’ Disease

Oral cancer

Bladder cancer

Hemochromatosis

Purpura

Pati

en

tH

isto

ry

Patient History

Her history was notable for cutaneous

lupus, hyperlipidemia, osteoporosis,

frequent urinary tract infections, three

uncomplicated cesarean sections, a left

oophorectomy for a benign cyst, and

primary hypothyroidism, which had been

diagnosed a year earlier








so far







•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: Esophagitis

Sym

pto

ms

UTI

Diabetes

Influenza

Hypokalemia

Renal failure

no abdominal pain

no back pain

no cough

no diarrhea


Esophagitis

pravastatin

Alendronate

levothyroxine

hydroxychloroquine

Diagnosis Models

frequent UTI

cutaneous lupus

hyperlipidemia

osteoporosis

hypothyroidism

Confidence


dizziness

anorexia

fever

dry mouth

thirst

frequent urination

Fam

ily

His

tory

Graves’ Disease

Oral cancer

Bladder cancer

Hemochromatosis

Purpura

Pati

en

tH

isto

ryM

ed

icati

on

s

Her medications were levothyroxine,

hydroxychloroquine, pravastatin, and

alendronate.

Medications








so far







•Extract Medications

•Use database of drug side-effects

•Together, multiple diagnoses may best explain symptoms

•Extract Findings: Confirms that UTI was present


Sym

pto

ms

UTI

Diabetes

Influenza

Hypokalemia

Renal failure

no abdominal pain

no back pain

no cough

no diarrhea


Esophagitis

pravastatin

Alendronate

levothyroxine

hydroxychloroquine

Diagnosis Models

frequent UTI

cutaneous lupus

hyperlipidemia

osteoporosis

hypothyroidism

Confidence


dizziness

anorexia

fever

dry mouth

thirst

frequent urination

Fam

ily

His

tory

Graves’ Disease

Oral cancer

Bladder cancer

Hemochromatosis

Purpura

Pati

en

tH

isto

ryM

ed

icati

on

sF

ind

ing

s

supine 120/80 mm HG

urine dipstick:

leukocyte esterase

urine culture: E. Coli

heart rate: 88 bpm

Findings

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.


Für Versicherungen entstehen spezifische

„Insurance Patterns”

Virtuelle Agenten im Kundenkontakt

leisten Dienste, führen und beraten

über Web oder Mobile

Transformation der

Kundeninteraktion

(Engagement)Anwendungen für Mitarbeiter, die

unterschiedliche Benutzer im

Unternehmen für Kundendienste

befähigen

Befähigte

Berater

Anwendungen für

Mitarabeiter, die Middle- und

Back-Office-Prozesse

optimieren

Optimierter

Betrieb


Optimierter Betrieb

17

© 2017 International Business Machines Corporation


„Unmutsäußerungen“ – Watson@Versicherungen

18


Watson liest und versteht Dokumente, sodass Einblicke in Relation geschaffen werden

19


Befähigte Berater

20


360 Grad Kunden- und Produktsicht für Call Center

21


Watson macht Vorschläge für Fonds u. Versicherungsprodukte

22


Schadenaufklärung und Betrugsmanagment

23


Transformation der

Kundeninteraktion

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Watson spricht mit uns über unsere Dokumente, Angebote, Produkte

25


Watson spricht mit uns über unsere Dokumente, Angebote, Produkte

26


Der kognitive Berater

27


Demo

28

Ideen des Kunden sammeln


Etappe 1: Show Case• Beispieldaten laden

• Watson Explorer Kernkompetenzen aufzeigen

Etappe 2: Erster

Prototyp, PoC• Kunden den Mehrwert von Watson

Explorer zeigen

• Zeiteffektiv

• Kostengünstig

• Prototyp nicht serienreif

Etappe 3: Produktionslevel•Produktionsbereit, lieferbar

•Löst echte Kundenprobleme

•Auf die Bedürfnisse des Kunden

abgestimmt

Etappe 4: Komplexe Vorgänge• Komplexe Kundenbedürfnisse werden erfüllt

• Produktionsbereit, lieferbar

• Löst echte Kundenprobleme

• Mehrere Systemintegrationen mit verschiedenen Systemen und Technologien

Nächste Schritte


Backup



Watson Developer Cloud - a set of cognitive capabilities

Rapidly prototype and build powerful cognitive apps in the cloud

Concept Expansion

Machine Translation

Message Resonance

Question and Answer

Personality Insights Relationship Extraction

Speech to Text

Text to speech Tradeoff AnalyticsVisualization Rendering Visual Recognition

Concept Insights

Analyzes the visual appearance of

images or video frames to

understand what is happening.

Translate text from one language to

another.

Personality insights to engage users

on their own terms

Graphical representations of data

analysis for easier understanding

Direct responses to users inquiries

fueled by primary document sources

Provides highly accurate, low latency

speech recognition capabilities

Synthesizes natural-sounding speech

from text

Communicate with people with a

style and words that suits them

Locate relevant documents that may

not directly mention your query.

Intelligently finds relationships

between sentences components

(nouns, verbs, subjects, objects, etc.)

Helps make better choices under

multiple conflicting goals with smart

visualizations and analytical

recommendations.

Maps euphemisms or colloquial

terms to more commonly understood

phrases

32


Macht Watson dasselbe wie eine Suchmaschine?

IBM Watson

Bekommt Fragen gestellt

Search engine vs.

Leitet 2-3 Schlagworte ab

Liest Dokumente

Findet Antworten

Findet und analysiert Evidenz

Findet Dokumente nach Schlagworten

Findet besonders populäre Dokumente

Stellt Fragen

Versteht Fragen

Errechnet sichere Antworten

Gibt Antworten, Evidenz und sichere Belege

Beachtet Antworten und Antwortevidenz

Gibt mögliche Antworten und Evidenz dafür

Analysiert Evidenzen

How Watson Works Video https://www.youtube.com/watch?v=_Xcmh1LQB9I© 2017 International Business Machines Corporation

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cognitive computing ein update rund um watson

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