Cognitive Computing: Challenges and opportunities in Building an Artificial Intelligence platform for Business

Keynote at http://www.aixia2016.unige.it/ - AIIA 2016 The 15th International Conference of the Italian Association for Artificial Intelligence

1. @pieroleo
IBM$Cognitive$Computing
Challenges)and)opportunities)in)Building)
an)Artificial)Intelligence)platform)for)
Business)
Pietro$Leo
Executive)Architect)):IBM)Italy)CTO)for)Big)Data))Analytics)&)Watson
IBM)Academy)of)Technology)Leadership
Head)of)IBM)Italy)Center)of)Advanced)Studies

2. 2
PROLOGUE

3. @pieroleo

4. @pieroleo
WISDOM
KNOWLEDGEDATA
INFORMATION

5. @pieroleo

6. @pieroleo
DATA
INFORMATION
KNOWLEDGE
WISDOM
"Olli"
Co:creative)community
Design
3D:printed
Cloud)+)IoT
30)Transportation)Sensors)+)New)ones
Artificial)Intelligence)for
Self:Drive)Vehicle)(outside)
Inside)vehicle)AI
Conversation
Recommender
Video)Recognition
Personalization
…

7. @pieroleo
DATA
INFORMATION
KNOWLEDGE
WISDOM
So,+we+need+
WISDOM,+to+
Augment,<
individual
and+collective,+
Intelligence

8. 8
THE<TECH
AGE

9. @pieroleo

10. @pieroleo
630
539
446
389
357
363
as+of+12+October+2016

11. @pieroleo
http://www.grushgamer.com/

12. In<2015<
63%<of<
CEOs<<will<
increase<
investmen
t<in<digital,<
it<is<a<
matter<of<
survive

13. Investment<
in<private<<
Fintech
companies<
increase<10x<
in<past<5<
years:<19B

14. Credits:+http://www.arkive.org/whaleIshark/rhincodonItypus/
What<is<
Fintech?
14

15. Fintech<are<«UNBUNDLING »<tranditional<banks

16. «UNBUNDLING »<is<general<phenomena<that<is<impacting<every<sectors<
or<corporations
Source:+https://www.cbinsights.com/blog/smartIhomeImarketImapIcompanyIlist/
SMART+HOMES

17. «UNBUNDLING»<logistics
Source:+https://www.cbinsights.com/blog/startupsIunbundlingIfedex/

18. The<
biggest<
taxi<
company<
do<not<
own<cars
Ubervs<Taxi<
Drivers

19. Ubervs<UberDrivers

20. Ubervs<…..

22. The<largest<
accommodation<
company<owns<
no<real<estates

23. Marriott<CIO<
acknowledgedAirbnb
asa<new<competitor

24. The<largest<
media<
company<
owns<not<
content

25. 25
What is the behind?
Digital Business + Digital Intelligence

26. 26
You<shared<
your<position<
with<me<and<
can<guess<
your<mobility<
need.<
I<can<take<you<
where<you<
need<to<be
Just<enjoy<
your<new<
experience
.<Stay<safe<
as<in<your<
home
I<know<
what<is<
needed<for<
you,<even<
before<you<
order<it
Please,<come<
with<me<and<
stay<by<me.
I<know<your<
content<I<can<
take<care<of<all<
your<digital<life

27. 27
AI (business)
spring
Digital Business + Digital Intelligence

28. Artificial<
Intelligence<
patents<have<
more<than<
tripled<in<10<
years

29. Venture<
Scanner<are<
tracking1481<
Artificial
Intelligence<
companies<
with<a<
combined
funding
amountof<
$8<Billion

30. Venture<Scanner<
AI<segments
Source:+Venture+Scanner

31. 78%<of<
Executives<say<
business<<will<
manage<
peoplealong<
side<
machines

34. 34
How is that possible?

35. 35
Image&source:&http://personalexcellence.co/blog/ideal8beauty/
City
Lifestyle
ZIPcode
Costal&vs&Inland Marital& status
Generation
Location
Family& Size
Gender
Income&Level
Competitors
Age
Loyalty&&&Card
Activity
Revenue&Size
Life&Stages
Eductation
Legal&status
Sector
Industry

36. 36
Image&source:&http://personalexcellence.co/blog/ideal8beauty/
City
Lifestyle
ZIPcode
Costal&vs&Inland Marital& status
Generation
Location
Family& Size
Gender
Income&Level
Competitors
Age
Loyalty&&&Card
Activity
Revenue&Size
Life&Stages
Eductation
Legal&status
Sector
Industry
Subscriptions
Date<on<Site
Wish<List
Size<of<
Network
Checkfins
App<usage<duration
Number<of<Apps<on<Device
Deposits/Withdrawals
Device<Usage
Purchase< History
Following
Followers
Likes
Number<of<Hashtags<used
History<of<Hashtags
Search< Strings<entered
Sequence<of<visits
Time/Day<log<in
Time<spent<on<site
Time<spent<on<page
Frequency<of<Search
Videos<Viewed
Photos<liked

37. 37
Image&source:&http://personalexcellence.co/blog/ideal8beauty/
City
Lifestyle
ZIPcode
Costal&vs&Inland Marital& status
Generation
Location
Family& Size
Gender
Income&Level
Competitors
Age
Loyalty&&&Card
Activity
Revenue&Size
Life&Stages
Eductation
Legal&status
Sector
Industry
Subscriptions
Date<on<Site
Wish<List
Size<of<
Network
Checkfins
App<usage<duration
Number<of<Apps<on<Device
Deposits/Withdrawals
Device<Usage
Purchase< History
Following
Followers
Likes
Number<of<Hashtags<used
History<of<Hashtags
Search< Strings<entered
Sequence<of<visits
Time/Day<log<in
Time<spent<on<site
Time<spent<on<page
Frequency<of<Search
Videos<Viewed
Photos<liked
Sentiment
Tone
Euphemisms
Hedonism
Extroversion
Face<Recognition
Openess
Colloquialism
Reasoning<Strategies
Language<Modeling
Dialog
Intent
Latent<Semantic<Analysis
Phonemes
Ontology<Analysis
Linguistics
Image<Tags
Question<Analysis
Selfftranscendent
Affective<Status

38. Source:+http://www.bloomberg.com/video/meetItheIworldIsImostIconnectedImanI
Vs~LzkbkR7yhjza~7nji1g.html
Meetthe
World'sMost+
ConnectedMan+

40. Rapid<growth<of<exogenous<data<is<transforming<healthcare
6 Terabytes
60%
Exogenous+Factors
1100 Terabytes
Volume,+Variety,+Velocity,+Veracity:
Educational+ records,+Employment+Status,+
Social+Security+Accounts,+Mental+Health+
Records,+Caseworker+Files,+Fitbits,+Home+
Monitoring+Systems,+and+more…
0.4 Terabytes
Electronic+Medical+/+Health+Records,+
Physician+Management+Systems,+Claims+
Systems+and+more…
30%
Genomics+Factors
10%
Clinical+Factors
IBM+Watson<Health//+SOURCE:+©2015+J.M.+McGinnis+et+al.,+“The+Case+for+More+Active+Policy+Attention+to+Health+Promotion,”+
Health+Affairs+21,+no.+2+(2002):78–93
Data<Generated<per<Life

41. LeveragingExogenousData<for<ChronicCare
60%
Exogenous+Factors
30%
Genomics+Factors
10%
Clinical+Factors
SOURCE:+©2015+J.M.+McGinnis+et+al.,+“The+Case+for+More+Active+Policy+
Attention+to+Health+Promotion,”+Health+Affairs+21,+no.+2+(2002):78–93
GlucoseMonitoring
Calorie0Intake
Stress0Levels
PhysicalActivity
OthervitalsignsSocial0
Interaction
Affinity(retail)
SleepPattern

42. MedtronicgetsFDA<nodfor<artificialpancreas<system,<
prepsto<launchWatsonfpoweredSugar.IQapp

43. 43
What is happening?

44. 44
THE<WISDOM
AGE

45. 45
Automating
the
World
Understanding
the
World
Main Technology Shift
H-Factor
Program Train/Data Scientist
Knowledge Workers Learning Workers

46. 46
BIG+DATA
DATA
WISDOM
Knowledge
Information
Technology is no more
supporting every kind of
private and public
organizations, it is becoming
part of them.
Machine Intelligence
Is becoming the key
ingredient.
Analytics
Cloud+Computing
Data+Science
Mobile
Social
Digitalization
Technology
Business
Robotics
Artificial+Intelligence
Business & Tech Nexus
Things

47. Toward a Precise Decision Making to reduce the wasteful spend as
well as the risk in every industry
.
Information Technology challenge is now about the
possibility to expand our WISDOMoptions
Watson

48. 48
Analytic<
Systems<use+
statistical+
techniques+for+
detecting+patterns+
or+detect+trends+
within+data,+yield+
an+understanding+
of+historical+or+
current+state+from+
which+to+draw+
conclusions
Text<Mining<is+a+class+of+functions+for+
parsing+and+identifying+significant+words+
in+language+(NLP)+as+well+ as+
understand+the+semantic+of+a+textual+
content
Cognitive<Systems<
leverage+machine+
learning+to+predict+
meaning+in+features+of+
human+language+
(spoken,+written,+visual)+
and+related+forms+of+
human+reasoning
MultifMedia<Mining<is+a+a+class+of++
function+for+analyzing+visual+content+
such+as+images+or+videos
Speech<Mining<is+a+class+of++
functions+for++analyzing+audio+
signals+including+speech+to+such+
as+ability Cognitive<Solutions<
leverage+a+combination+of+
cognitive+system+reasoning
strategies+and+other+analytic+and+
classical+computing+techniques+to+
solve+for+a+complex+problem+I>+
Amplify$Human$WISDOM$in$a$
specific$domain
XXX<Mining<is+class+of++large+
specialized+functions+for++analyzing+
“digital+ representation”++in+a+
specific+domain+!e.g.,+
Bioinformatics,+Financial+Analytics,+
etc.
Capitalize+on+Digital+Data
Machine<Learning<
is+a+class+of+
statistical+techniques+
that+use+training+
data+to+recognize+
the+correlation+
between+a+set+of+
feature+patterns+and+
outcomes.+
It+includes+also+Deep<
Learningthat+is+a+
rapidly+maturing+space,+
based+on+neural+
network+techniques,+
that+are+taught+to+find+
their+own+features
Emerging<Patterns<for<Artificial<Intelligence<adoption<in<Business<World
WISDOM

49. Opportunityfor<
decisionfmaking
support
2025
Cognitive<opens<new<opportunities<on<top<of<traditional<IT
Traditionalglobal
IT<spend
Source:+IBM+analysis+presented+to+the+Investor+Briefings+
~$2T
~$1.2T

50. Top<outcomes<from<cognitive<initiatives<vary<by<industry
Finance
49%Increased+market+agility
46%Improved+customer+service
43%Increased+customer+
engagement
43%Improved+productivity+&+
efficiency
42%Improved+security+&+compliance,+
reduced+ risk
Retail
56%Personalized+customer+/+user+
experience
56%Increased+customer+engagement
56%Improved+decision+making+&+planning+
56%Reduced+ costs
55%Improved+customer+service
Health
66%Accelerated+innovation+of+
new+products+/+services
66%Improved+productivity+&+
efficiency
64%Improved+security+&+compliance,+
reduced+ risk
62%Reduced+ costs
59%Improved+customer+service
Manufacturing
64%Improved+decision+making+
&+planning+
58%Improved+productivity+&+
efficiency
54%Improved+security+&+compliance,+
reduced+ risk
52%Improved+customer+service
49%Enhanced+the+learning+experience
Government/Education
54%Personalized+customer+/+user+experience
50%Improved+customer+service
37%Improved+decision+making+&+planning+
36%Improved+productivity+&+efficiency
33%Increased+customer+engagement
Professional<Services
40%Reduced+ costs
36%Personalized+customer/user+
experience
36%Improved+customer+service
36%Expanded+ecosystem
34%Accelerated+innovation+of+new+
products+/+services
%)achieving)outcome)with)cognitive
Source:+An+IBM+study+of+over+600+early+cognitive+adopters+I2016 Full+report:+http://www.ibm.com/cognitive/advantageIreports/

51. 2011
2015
2016IAlphaGO=4++++Lee+SeIDol=1
1997IIBM=2.5++++Kasparov=2.5
1997
AlphaGO)uses)self:trained)net)to)evaluate)
positions)and)moves)on)30M)historical)
games
DeepBlue)uses)a)hard:coded)objective)function)
written)by)a)human)coupled)with)High)
Performance)Computing
2016
10
10
170
10
40
Applying or having wisdom in real world is
not only an AI game
COMPUTING & MATH WISDOM
IBM Watson –Jeopardy!
SEMANTICS

52. @pieroleo
52

53. 53
Build a platform for
Cognitive Business?
Why?

54. @pieroleo
Who:<Current<top<players<competitive<directions<and<approaches
Personalized+Service+/
Content+Aggregation
IndustryIoriented+/+Professions+Specific
Outcomes+via+cognitive+Solutions
Core+Business+Cognitive+/
Enhance+Experiences
IBM
API<SERVICES</
PLATFORM
AWS
Microsoft
Goggle
Amazon+(Alexa)
Facebook

55. Ecosystem
and<Partners
Industry<
Solutions
Client
Solutions
&<products
IBM+
Provided
Data
Publically
Sourced
Data
Partner
Provided
Data
Private
Client
Data
IBM<Watson<Innovation<platform<for<Cognitive<Business
Watson)Health
Watson)Financial)Service
Watson)Internet)of)Things
Hybrid<Watson<
Frameworks
Watson
Services<fAPI
Data
Knowledge
Wisdom

56. Ecosystem
and<Partners
Industry<
Solutions
Client
Solutions
IBM+
Provided
Data
Publically
Sourced
Data
Partner
Provided
Data
Private
Client
Data
IBM<Watson<Innovation<platform<for<Cognitive<Business
Health
Financial
Cross Public)Filings
Patents
MedicalJournals
U.S.)GeologicalSurvey
…
Apple
Twitter
QuestDiagnostics
…
Medtronic
Under)Armour
Johnson)&)Johnson
Thomson)Reuters
…
Watson)Health
Watson)Financial)Service
Watson)Internet)of)Things
Hybrid<Watson<
Frameworks
Watson
Services
Comms Industrial Distribution Financial Public Services
Health
FraudAnalysis
CorpIntelligence
ClaimsProcessing
Digital Agent
Call Center Advisor
Public Safety
National Security
Shopping Advisor
Sales Automation
Supply & Logistics
Omni-Channel Ops
Product Safety
Field Service Mgt
Geology Advisor
Digital Agent
Theme Park Exp
Call Center Ops
CIO Dashboard
Corp Intelligence
M&A Advisor
Cyber Security
Life
Sciences
Oncology
Clinical Trial
Matching

57. @pieroleo
1f800<Flowers
Live+at:+https://www.1800flowers.com/gwynI1800flowers?flws_rd=1 Live+at:+https://www.thenorthface.com/xps
GWYN<(Gifts<When<You<Need),<a<Watsonfpowered<personal<
concierge<designed<to<help<customers<find<the<perfect<gift
The<North<Face
A<personal<Shop<Assistant<that<can<drive<you<to<select<the<
most<appropriate<Jacket
Virtual<Agents:<Sales<Assistants

58. @pieroleo

59. @pieroleo
June+2016 59

60. @pieroleo
•Will+deliver+personalized+content+
through+the+dashboard+and+other+
digital+channels+supported+by+the+
OnStar<Go<ecosystem+to+make+the+
most+of+time+spent+in+the+car.
•iHeartRadiowill+use+Watson+
Personality+Insights+to+curate+
personalized+experiences+that+
leverage+onIair+personalities+and+
local+content+from+radio+stations+
across+the+U.S.
•The+platform+employs+Watson+
Tradeoff+Analytics+to+give+a+traveling+
foodie+dining+recommendations+
from+celebrity+chefs+when+driving+in+
a+new+city.
Cognitive<Automation

61. @pieroleo
61
Cognitive<Virtual<Agent<+<RoboticAutomation<=<IntelligentAutomation
61

62. Ecosystem
and<Partners
Industry<
Solutions
Client
Solutions
IBM+
Provided
Data
Publically
Sourced
Data
Partner
Provided
Data
Private
Client
Data
IBM<Watson<Innovation<platform<for<Cognitive<Business
Watson)Health
Watson)Financial)Service
Watson)Internet)of)Things
Hybrid<Watson<
Frameworks
Watson
Services
Data
Knowledge
Wisdom

63. @pieroleo
Visual
Recognition
Speech< to
Text
Personalit
y
Insights
Language
Translatio
n
Watson
Servicesare+
a+set+of+
building+
blocks+that+
can+be+mixed+
to+build+
cognitive+
applications.
They+run+on+a+
Platform.
IBM<Cognitive<Services<–
BlueMix<fPlatform
Text<to
speech

64. @pieroleo
Anaphoric+ CoIreferencing
Colloquialism+ Processing
Content+ Management+IIVersioning
Convolutional+ Neural+ Networks
Curation
Deep+ Learning
Dialog+ Framing
Ellipses
Embedded+ Table+ Processing
Ensembles+ and+ Fusion
Entity+ Resolution
Factoid+ Answering
Feature+ Engineering
Feature+ Normalization
Focus+ and+ Spurious+ Phrase+
Resolution
HTML+Page+ Analysis
Image+ Management
Information+ Retrieval
Knowledge+ (Property)+ Graphs
Knowledge+ Answering
Knowledge+ Extraction+ Annotators
Knowledge+ Validation+ and+
Extrapolation
Language+ Modeling
Latent+ Semantic+ Analysis
Learn+ To+ Rank
Linguistic+ Analysis
Logical+ Reasoning+ Analysis
Logistical+ Regression
Machine+ Learning
MultiIDimensional+ Clustering
Multilingual+ training
nIGram+ Analysis+ (word+
combinations+ and+ distance)
Ontology+ Analysis
Pareto+ Analysis
Passage+ Answering
PDF+Conversion
Phoneme+ Aggregation
Question+ Analysis
QuestionIanswering+ Reasoning+
Strategies
Recursive+ Neural+ Networks
Rules+ Processing
Scalable+ Search
Similarity+Analytics
Statistical+ Language+ Parsing
Support+ Vector+ Machines
Syllable+ Analysis
Table+ Answering
Visual+ Analysis
Visual+ Rendering
Voice+ Synthesis
These+APIs+are+underpinned+by+
50<technologies:
2011
2015
Source:+http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/servicesIcatalog.html

65. @pieroleo
IBM+Cognitive+Services
1.Watson+APIs+are+
continuously.+
2.They+are+
complemented+with+
tens+of+other+APIs+in+
other+domains,+all+
running+on+ONE+
platform.
3.They+can+mashed+
up+to+build+an+
infinite+number+of+
cognitive+assistants.
2011
2016
Pipeline

66. @pieroleo
Gain+insight+into+how+
and+why+people+ think,+
act,+and+feel+the+way+
they+do.+This+service+
applies+linguistic+
analytics+and+
personality+theory+to+
infer+attributes+from+a+
person's+unstructured+
text
Personality
Insights

67. @pieroleo
New<programming<environments<on<clouds<are<providing<a<fast<and<easy<
access<to<IBM<Watson<APIs<and<more<…
67

68. @pieroleo
68
Whattypesof
cognitive
systems?

69. @pieroleo
69
8,361Teams joinedto propose and generate ideas
And over 2.700passedfeasibilityreviews
275,000 IBMersall around the world who engaged in the Cognitive Build.
•Imagine+a+digital+cognitive+system+to+help+you+do+something+important+in+your+
personal+or+professional+lives
•Team+to+design+it+and+advocate+for+it,+and+then+everyone+votes
•Winners:+reduce+waste+and+human+suffering,+screen+for+health+issues+and+safety+
threats,+learn+life+skills+and+make+better+choices,++find+what+you+are+looking+for,+
move+around+more+effectively,+provide+emotional+support,+provide+IT+support,+
learn+about+important+public+policy+goals+and+make+better+choices

70. @pieroleo
Types<of<Cognitive<Systems
70
ToolAssistantTools Collaborator
Coach Mediator
Source:+Analysis+of+top+400+ieasby+J.+Spoorer,+Don+Norman+and+Paul+Maglio

71. Ecosystem
and<Partners
Industry<
Solutions
Client
Solutions
IBM+
Provided
Data
Publically
Sourced
Data
Partner
Provided
Data
Private
Client
Data
IBM<Watson<Innovation<platform<for<Cognitive<Business
Watson$Health
Watson)Financial)Service
Watson)Internet)of)Things
Hybrid<Watson<
Frameworks
Watson
Services
Data
Knowledge
Wisdom

72. @pieroleo
IBM<Cloud<
Computing<
Platform
Cognitive<Systems<
&<Apps
Watson<
Ecosystem
Watson

73. @pieroleo
Source:+http://www.equals3.ai/meetlucy

74. @pieroleo

75. @pieroleo

76. @pieroleo
Source:+https://ibmtjbot.github.io/
I'man<open<source<project
designedto<help<youaccess
Watson<Servicesin<a<funway.
Youcan<3D<printme<or<laser<
cutme,<thenuse<oneof<my
recipesto<bringme<to<life!<
https://www.ibm.com/watson/developercloud/projectIintu.html

77. Ecosystem
and<Partners
Industry<
Solutions
Client
Solutions
IBM+
Provided
Data
Publically
Sourced
Data
Partner
Provided
Data
Private
Client
Data
IBM<Watson<Innovation<platform<for<Cognitive<Business
Watson$Health
Watson)Financial)Service
Watson)Internet)of)Things
Hybrid<Watson<
Frameworks
Watson
Services<fAPI
Data
Knowledge
Wisdom

78. Leveraging<the<Explosion<of<Data<in<Medicine<–An<Impossible<Task<Without<
Analytics<and<New<advanced<Artificial<Intelligence<Computing<Models
1000
Facts(per(Decision
10
100
1990 2000 2010 2020
Human(Cognitive(
Capacity
Electronic(Health(
Records((Clinical(
Data)
Internet(of(Things(
(Exogenous(Data)
The(Human(
Genome(
(Genomic(Data)
Capturing*the*Value*of*Data:*Big*Changes*Ahead
Medicalerror—the<thirdleadingcause<of<
deathin<the<US
Source:0BMJ)2016])353)doi:)
http://dx.doi.org/10.1136/bmj.i2139)(Published)03)May)
2016))Cite)this)as:)BMJ)2016]353:i2139)

79. Ecosystem
and<Partners
Industry<
Solutions
Client
Solutions
IBM+
Provided
Data
Publically
Sourced
Data
Partner
Provided
Data
Private
Client
Data
An<example<of<industrialforiented<platform:<Watson<Health
Watson$Health
Watson)Financial)Service
Watson)Internet)of)Things
Data
Knowledge
Wisdom
Public)Filings
Patents
MedicalJournals
Apple
Twitter
QuestDiagnostics
Medtronic
Under)Armour
Johnson)&)Johnson
TEVA

80. @pieroleo
80
Watson<Health<is<bringing<unique<insights<to<the<marketplace<to<help<reduce<
costs,<improve<outcomes<and<help<increase<value.
Data
Standards0based,0
extremely0scalable,0
open0repository0of0data0
on0all0dimensions0of0
healthcare0and0research0
Insights*as*a*
service
Knowledge+and+actionable+
information+through+
advanced+analytics+and+
cognitive+capabilities
Solutions
IBM+and+an+ecosystem+
of+partners+help+improve+
the+overall+experience+
and+increase+the+quality+
of+outcomes
Watson<Health
Data+–Insights+–Solutions

81. @pieroleo
81
Our<approach

82. @pieroleo
WatsonHealth’saimistocreateanopenindustryplatformutilizingkey
capabilitiesandpartnershipstohelpimproveHealthcare
Watson0Cloud
PARTNERSHIPS

83. @pieroleo
83
Our<approach

84. @pieroleo
Watson<for<Genomics
Business<Challenge:<
•As+the+cost+of+Next+Generation+Sequencing+decreases,+there+will+be+an+increase+in+tumor+
genome+sequencing+resulting+in+massive+quantities+of+genetic+data+to+analyze+
•Currently,+it+takes+an+average+of+4I6+weeks+to+analyze+and+interpret+genetic+data+manually+
•Complexity+of+matching+genetic+mutations+of+individual’s+tumor+with+molecular+targeted+
therapies+using+multiple+data+sources
Watson<Solution:<
•Empowers+Physicians+to+Make+the+Most+of+Genomic+Data+and+Assisting+Them+to+Provide+
Comprehensive+and+UpItoIdate+Cancer+PatientICare+
1.Leverages+whole+genome,+whole+exome,+or+large+panels+variant+sequences+from+patient+tumor+biopsies+
2.Identifies+gene+level+variants+using+several+industry+standard+databases,+as+well+as+relevant+literature+
3.Provides+actionable+list+of+gene+variants+and+the+therapies+that+target+them,+either+directly+or+indirectly
Use<Cases:
•Assist+Molecular+Pathologists+in+reviewing+the+100s+to+1000s+of+gene+level+variants,+and+
associating+each+with+the+likelihood+its+driving+cancer+developing+in+that+individual+patient
•Once+the+driver+alterations+have+been+approved+by+the+pathologist,+WGA+assists+the+Medical+
Oncologist+with+recommending+an+approved,+investigational,+or+offIlabeled+targeted+therapy
84

85. @pieroleo
Watson<Genomicsfrom<QuestDiagnostics®
Watson+Genomics+from+Quest+Diagnostics+is+a+solution+
that+can+help+patients+along+their+cancer+journey.+
1.Quest+Diagnostics+sequences+and+analyzes+a+tumor’s+
genomic+makeup+to+find+specific+mutations
2.Watson+then+compares+those+mutations+against+
relevant+medical+literature,+clinical+studies,+
pharmacopeia+and+carefully+annotated+rules+created+
by+leading+oncologists.+
3.A+Quest+Diagnostics+pathologist+will+review+and+
validate+the+results+and+prepare+a+report+to+send+back+
to+the+patient’s+treating+physician
http://www.ibm.com/watson/health/oncology/genomics/

86. @pieroleo
86
Watson<for<Oncology
Trained$by$Memorial$Sloan$Kettering
Business<Challenge:<
•Ability+to+assess+quickly+the+best+treatments+for+an+individual+patient+based+on+latest+evidence+and+clinical+guidelines
Watson<Solution:<
•A+tool+to+assist+physicians+make+personalized+treatment+decisions
−Analyzes+patient+data+against+thousands+of+historical+cases+and+trained+through+thousands+of+Memorial+Sloan+Kettering+MD+and+
analyst+hours
−Suggestions+to+help+inform+oncologists’+decisions+based+on+over+290+medical+journals,+over+200+textbooks,+and+12M+pages+of+text
−Evolves+with+the+fastIchanging+field
−Currently+supports+first+line+treatment+(Breast,+Lung,+Colorectal+cancers)
86
©+2015+International+Business+Machines+Corporation

87. @pieroleo
87
Our<approach

88. @pieroleo
88
The&Medical&Sieve "Build+a+fast+anomaly+detection+
engine
–Quickly+filtersirrelevant+images
–Highlights+diseaseIdepicting+regions
–Flags+coincidental+diagnosis
"Intended+as+a+radiology+assistant+
–Clinicians+still+do+the+diagnosis
–Machine+reduces+workload+
–Machine+performs+triage/decision+
support
Given+history+of+the+patient+and+images+of+
a+study
Is+there+an+anomalous+image+here?
If+so,+where+is+the+anomaly+?
Describe+the+anomaly
The&Medical&Sieve

89. @pieroleo

90. 90
CLOSING

91. @pieroleo
Scientific<
Method
Visualization
Domain<
Expertise
TOM
Hacker<
Mindset<
MathData<Engineering
Advanced<
Computing
StatisticsData<Scientist
A+Data+Scientist
"Explores+and+examinesdata+from+
multiple+disparate+sources
"Siftsthroughallincomingdata+with+
the+goal+of+discoveringa+previously
hiddeninsight
"Hasstrong+business+acumen,+
coupledwith+the+abilityto+
communicatefindingsto+both
business+and+IT+leadersin+a+way+that
can+influencehowan+organization
approachesa+business+challenge
"Representsan+evolutionfrom+the+
business+or+data+analystrole
"Hasa+solidfoundationtypicallyin+
computer+science+and+applications,+
modeling,+statistics,+analyticsand+
math.+
The<roleof<a<Data<Scientist

92. @pieroleo

93. Chief<Artificial
Intelligence<
Officer
Chief<Data<
Scientist
Chief<
Information
Officer
Chief<Data
Officer

94. https://www.partnershiponai.org/

95. @pieroleo
Source:+
https://www.whitehouse.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/prep
aring_for_the_future_of_ai.pdf
1<Private<and<public<institutions<are<
encouraged<to<examine<whether<and<
how<they<can<responsibly<leverage<AI<
and<machine<learning<in<ways<that<will<
benefit<society.<
2<Federal<agencies<should<prioritize<
open<training<data<and<open<data<
standards<in<<AI.<
3<The<Federal<Government<should<
explore<ways<to<improve<the<capacity<of<
key<agencies<to<apply<AI<to<their<
missions.

96. @pieroleo
http://www.onthehub.com/ibm/https://developer.ibm.com/academic/

97. @pieroleo
@pieroleo
www.linkedin.com/in/pieroleo
Pietro$Leo
Executive+Architect+IÿIBM+Italy+CTO+for+Big+Data+
Analytics+&+Watson
IBM+Academy+of+Technology+Leadership
Head+of+IBM+Italy+Center+of+Advanced+Studies
Grazie!