@pieroleo
A cognitive business is a business that thinks
Pietro Leo – Executive Architect -­ IBM Italy CTO for Big Data Analytics & Watson
IBM Academy of Technology Leadership Team

Elsa
Tanmay Bakshi
Toothbrush
Leukemia

In 2015 63%
of CEOs
will increase
investment
in digital, it
is a matter
of survive

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

The biggest
taxi company
do not own
cars

The largest
accommodati
on company
owns no real
estates

The largest
media
company
owns not
content

Artificial
Intelligence
patents have
more than
tripled in 10
years

Venture Scanner
are tracking 957
Artificial
Intelligence
companies with a
combined
funding amount
of $4.8 Billion

78% of
executives say
business will
manage people
along side
machines

12
What is the behind?
Digital Business + Digital Intelligence

13
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

Automating
the
World
Understanding
the
World
Main Technology Shift
H-Factor
Program Train
Knowledge Workers Learning Workers

BIG DATA
DATA
WISDOM
Knowledge
Information
Technology is
not only
supporting every
kind of private
and public
organizations, it
is becoming part
of them
Analytics
Cloud Computing
Data Science
Mobile
Social
Digitalization
Technology

16
Is wisdoma pure
computing or math problem?

2011
2015
2016 -­ AlphaGO=4 Lee Se-­Dol=1
1997 -­ IBM=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
10170
10
40
Applying or having wisdom in real world is
not only an AI game
COMPUTING & MATH WISDOM
IBM Watson – Jeopardy!
SEMANTICS

18
We need wisdom to be
helped to cope with
Cognitive
Overload

19with WISDOM
Observe
InterpretDecide
Evaluate
The making
of an expert.

Cognitive Computing and IBM Watson
scales expertise to expand what’s possible.
Main IT challenge is now about the possibility to
expand our Wisdom options
Watson

IBM State-­of-­the-­Art: Today Cognitive Computing & Watson is in
multiple industries across 6 continents
36
Countries
100+
Applications
already in market
3.000
Researchers
& Specialists in IBM
Watson Core Technology
9
Languages
Learned by Watson, natively (*)
160
Universities
offering Watson courses
500+
Partners
Powered by Watson
28
API
already available
29
Industries
90.000
Developers
building with Watson &
its services
5.000
Doctors, Researchers
&Specialists
IBM Watson Health
1.000
Researchers &Engeneers
IBM Watson Internet of
Things
(*) English, Spanish, Brazilian Portuguese, French, Italian, German, Arabic, Japanese, and Korean

22
Why we need an help as
professionals and as individuals to cope
with cognitive overload?

Elsa
Tanmay Bakshi
Toothbrush
Leukemia

http://www.grushgamer.com/

25Source: https://www.ibm.com/blogs/watson/2016/08/campfire-­uses-­watson-­bring-­physical-­books-­life/

26
http://www.ndtv.com/health/artificial-­intelligence-­used-­to-­detect-­rare-­leukemia-­type-­in-­
japan-­1440789
Japanese doctors
have for the first
time used artificial
intelligence (AI) to
detect a type of
leukemia, which
helped to save a
patient's life as the
disease had gone
undetected using
conventional
methods.

27
http://www.ndtv.com/health/artificial-­intelligence-­used-­to-­detect-­rare-­leukemia-­
type-­in-­japan-­1440789

28
Accessing
to Watson technologies
& Build

Anaphoric Co-­referencing
Colloquialism Processing
Content Management -­-­ Versioning
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
Multi-­Dimensional Clustering
Multilingual training
n-­Gram Analysis (word
combinations and distance)
Ontology Analysis
Pareto Analysis
Passage Answering
PDF Conversion
Phoneme Aggregation
Question Analysis
Question-­answering 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:
IBM Watson Services
2011
2015Source: http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/services-­catalog.html

30https://www.youtube.com/watch?v=FYZld6SSCnY

@pieroleo
Grazie!
Pietro Leo – Executive Architect -­ IBM Italy CTO for Big Data Analytics & Watson
IBM Academy of Technology Leadership Team

32
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
A vast amount of untapped data could have a great impact on our health
-­ yet it exists outside medical systems.
Data Generated per Life

33
Cognitive Overload: Leveraging the Explosion of Data for an Oncologist
– It will be more and more an impossible Task Without Wisdom
33
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