IBM & Watson
Nikola Polić
Information Management Sales Leader
South East Europe
25 April 2014
About IBM
2
430,000 employees
~ 6.2 bn US$ investment in research
99.7 bn US$ revenue
6,809 US patents in 2013
About IBM
IBM Software Group (SWG)
IBM Systems & Technology Group (STG)
IBM Global Technology Services (GTS)
IBM Global Business Services (GBS)
IBM Global Financing (IGF)
IBM Srbija
Located in Ušće Business Center
95 Employees with office in Skoplje
3
The Mega Trends
Cloud
Mobile
Social
Analytics
4
5
An increasingly sensor-enabled and instrumented
business environment generates HUGE volumes of
data with MACHINE SPEED characteristics…
6
1 BILLION lines of code
EACH engine generating 10 TB every 30 minutes!
Who is Watson?
7
How did Watson perform?
8
Watson is ushering in a new era of computing
System
Intelligence
Cognitive
Programmatic
Tabulation
Punch cards
Time card readers
1900
Search
Deterministic
Enterprise data
Machine language
Simple outputs
1950
Discovery
Probabilistic
Big Data
Natural language
Intelligent options
1
2011
. . .enabling new opportunities and outcomes
9
1
Watson is cognitive computing
Understands
natural
language
Watson understands me.
Watson engages me.
Watson learns and
improves over time.
Watson helps me
discover.
Watson establishes trust.
Watson has endless
capacity for insight.
Watson operates in a
timely fashion.
10
Adapts
and learns
Generates
and
evaluates
hypotheses
10
Why is it so hard for computers to understand us?
Welch ran
this?
Person
Organization
L. Gerstner
IBM
J. Welch
GE
W. Gates
Microsoft
“If leadership is an art
then surely Jack Welch
has proved himself a
master painter during his
tenure at GE.”
 Noses that run and feet that smell?
 How can a house burn up as it burns down?
 Does CPD represent a complex comorbidity of lung cancer?
 What mix of zero-coupon, non-callable, A+ munis fit my risk tolerance?
11
IBM Watson combines transformational technologies
2 Generates and
1 Understands
natural language
and human
communication
3 Adapts and learns
from user
selections and
responses
12
evaluates
evidence-based
hypothesis
…built on a massively parallel
architecture
Brief History of IBM Watson
IBM
Research
Project
(2006 – )
Jeopardy!
Grand
Challenge
(Feb 2011)
Watson
for
Healthcare
(Aug 2011 –)
Watson
for Financial
Services
(Mar 2012 – )
Watson
Industry
Solutions
(2012 – )
Cross-industry
Applications
Expansion
Commercialization
Demonstration
R&D
13
Watson enables three classes of cognitive services
Ask
• Leverage vast amounts of data
• Ask questions for greater insights
• Natural language inquiries
• e.g. - Next generation Chat
Discover
• Find the rationale for given answers
• Prompt for inputs to yield improved responses
• Inspire considerations of new ideas
• e.g. - Next generation Search  Discovery
Decide
• Ingest and analyze domain sources, info models
• Generate evidence based decisions with confidence
• Learn with new outcomes and actions
• e.g. - Next generation Apps  Probabilistic Apps
14
Imagine if…
… call center agents could
find better answers to
customer questions 50%
faster.
That’s exactly what a major
provider of financial
management software did.
“Contact centers of the future will
improve precision and personalization,
transforming centers from a cost
orientation to a strategic assets.”
- Leading Telco Supplier
15
ASK
Imagine if…
. . . new insights from medical
research find their way to patient
treatment programs in months
instead of years?
That’s exactly what a global
leader in cancer care is doing
today.
“Watson will be an invaluable resource
for our physicians and will dramatically
enhance the quality and effectiveness
of medical care.”
-Dr Sam Nussbaum,
Chief Medical Officer, WellPoint
DISCOVER
16
Imagine if…
. . . the 1.5M people
diagnosed with cancer in the
US last year had a better
prognosis?
That’s exactly what a major
health plan provider is
working to accomplish.
“Watson can aggregate information
and give probabilities that will
enable (experts) to zero in on the
most likely diagnosis.”
-Dr. Steven Nissen,
Cleveland Clinic
17
DECIDE
New York Police Department
Tackles Crime with Real-time
Information Analysis
Need
Gain insight from billions of records and reach
detectives within minutes, not days or weeks.
Relate offenders, arrests, calls for service (911),
human resources and geographic information to
facilitate quicker and more appropriate responses
Benefits
• On-scene insight for detectives
• Rapid trend analysis for resource
deployment
• Rapid repeat offender identification
• Integration of structured and
unstructured information provides
more comprehensive insight
18
18
Dublin City Centre Increases Bus
Transportation Performance
Capabilities Utilized
Stream Computing
•
Public transportation awareness solution improves on-time
performance and provides real-time bus arrival info to riders
•
Continuously analyzes bus location data to infer traffic
conditions and predict arrivals
•
Collects, processes, and visualizes location data of all bus
vehicles
•
Automatically generates transportation routes and stop
locations
Results
19
•
Monitoring 600 buses across 150 routes
•
Analyzing 50 bus locations per second
•
Anticipated to Increase bus ridership
T-Mobile uses big data to
optimize network performance
and reduce costs
Need
•Needed a solution to store and analyze two years worth of
Call Detail Records (CDRs), switch, billing and network
event data for over 30 million subscribers to identify and
address network bottlenecks
Benefits
•Analyze over 17 billion events per day to provide over 1,300
users with network Quality of Experience (QoE) analytics,
traffic engineering, dropped session analytics as well as
voice and data session analytics
•Business users can perform ad-hoc network and traffic
analysis to identify performance issues in seconds and
address them faster
20
20
© 2013 IBM Corporation
SlamTracker at Wimbledon
 Combines a corpus of data points made up of a player’s historical winning performance,
correlated with winning statistics of the last 5 grand slams, to create “Keys to the Match” win
prediction engine
21
We have only just begun to build a
new era of computing powered by
cognitive systems
 Transforming how organizations think, act,
and operate
 Learning through interactions
 Delivering evidence based responses driving
better outcomes
22
23