nikola polić information management sales leader south east europe 25 april 2014 ibm & watson
TRANSCRIPT
Nikola PolićInformation Management Sales Leader South East Europe25 April 2014
IBM & Watson
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About IBM
430,000 employees ~ 6.2 bn US$ investment in research
6,809 US patents in 201399.7 bn US$ revenue
~ 6.2 bn US$ investment in research~ 6.2 bn US$ investment in research
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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 SrbijaLocated in Ušće Business Center95 Employees with office in Skoplje
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Mobile Social
Cloud
Analytics
The Mega Trends
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An increasingly sensor-enabled and instrumented business environment generates HUGE volumes of
data with MACHINE SPEED characteristics…
1 BILLION lines of codeEACH engine generating 10 TB every 30 minutes!
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Who is Watson?
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How did Watson perform?
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SystemIntelligence
1900 1950 2011
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. . .enabling new opportunities and outcomes
Tabulation
Programmatic
Cognitive
Punch cardsTime card readers
SearchDeterministicEnterprise dataMachine languageSimple outputs
DiscoveryProbabilisticBig DataNatural languageIntelligent options
Watson is ushering in a new era of computing
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Watson is cognitive computing
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Understandsnatural language
Generates andevaluates hypothesesAdapts
and learns
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.
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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.”
Welch ran this?
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?
Why is it so hard for computers to understand us?
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Understands natural language and human communication
Adapts and learns from user selections and responses
Generates and evaluates evidence-based hypothesis
…built on a massively parallel architecture
IBM Watson combines transformational technologies
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Brief History of IBM Watson
R&D
Demonstration
Commercialization
Cross-industry Applications
IBMResearch Project (2006 – )
Jeopardy!Grand
Challenge(Feb 2011)
Watson for
Healthcare(Aug 2011 –)
Watson Industry
Solutions(2012 – )
Watson for Financial
Services(Mar 2012 – )
Expansion
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Watson enables three classes of cognitive services
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
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
Ask• Leverage vast amounts of data• Ask questions for greater insights• Natural language inquiries• e.g. - Next generation Chat
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
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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.
ASK
“Contact centers of the future will improve precision and personalization, transforming centers from a cost orientation to a strategic assets.”
- Leading Telco Supplier
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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.
DISCOVER
“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
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Imagine if…
DECIDE
. . . 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
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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
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
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Dublin City Centre Increases Bus Transportation PerformanceDublin City Centre Increases Bus Transportation Performance
• 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
• Monitoring 600 buses across 150 routes
• Analyzing 50 bus locations per second
• Anticipated to Increase bus ridership
Capabilities Utilized
Stream Computing
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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
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 © 2013 IBM Corporation
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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
SlamTracker at Wimbledon
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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
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