Findability Day 2014 - IBM presentation on Big Data Analytics and Cognitive Computing

1. © 2014 IBM Corporation
Arild Kristensen
Nordic Sales Manager, Big Data Analytics
Tlf.: +47 90532591
Email: arild.kristensen@no.ibm.com
Watson, Big Data and cognitive
computing

2. © 2014 2 IBM Corporation

3. Welcome to the Big Data Opportunity
“The list of life's certainties has gotten longer.
Along with death and taxes we can now include
information overload.”
© 2014 3 IBM Corporation

4. Big Data Is All Data
Volume Variety Velocity Veracity
Data at Scale Data in Many Forms Data in Motion Data Uncertainty
© 2014 4 IBM Corporation

5. We Have Entered a New Era of Computing . . .
Tabulating
Systems Era
Programmable
Systems Era
. . .Enabling New Opportunities and Outcomes
© 2014 55 IBM Corporation
1900 1950
2011

6. Big Data Analytics And Natural Language
Cognitive: The Next Wave of Disruptive Technology
© 2014 6 IBM Corporation

7. Principles of Cognitive Computing
CCCCooooggggnnnniiiittttiiiivvvveeee SSSSyyyysssstttteeeemmmmssss - Applying human-like characteristics to conveying
and manipulating ideas, that when combined with the inherent strengths of
digital computing can address problems with higher accuracy, more resilience,
and on a massive scale over very large bodies of information
WWWWaaaattttssssoooonnnn iiiissss aaaa CCCCooooggggnnnniiiittttiiiivvvveeee SSSSyyyysssstttteeeemmmm
– Analyses human language to identify
inferences between text passages
– Can demonstrate human-like accuracy
– Performs at speeds far faster, and
at a scale far bigger, than a human
© 2014 7 IBM Corporation

8. We are on a journey to Cognitive Computing
© 2014 8 IBM Corporation

9. 2011
WATSON
© 2014 9 IBM Corporation

10. Why We wanted to play Jeopardy
grand challenge: can we build
a computing system that rivals
a human’s ability to quickly
answer questions posed in
natural language with speed,
accuracy and confidence.
© 2014 10 IBM Corporation

11. Watson in action During Jeopardy!
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12. Watson combines transformational capabilities to deliver a
new world experience using cognitive computing
1 2
Understands
natural language and
human style
communication
Adapts and learns from
training, interaction,
and outcomes
Generates and
evaluates evidence-based
hypothesis
3
Watson:
• Understands me
• Engages me
• Learns and improves over time
• Helps me discover
• Establishes trust
• Has endless capacity for insight
• Operates in a timely fashion
© 2014 12 IBM Corporation

13. Announcing The Watson family - 2014
IBM Watson
Advisors
IBM Watson
Solutions
Bespoke solutions designed to
meet some of industries most
demanding needs leveraging
cognitive capabilities
IBM Watson
Ecosystems
The Watson Developer Cloud,
Watson Content Store and
Watson Talent Hub driving
innovation from partners
IBM Watson
Foundations
Products based on
Watson’s core
attributes and
capabilities
IBM Watson
Cognitive Fabric
Provides the big data and analytics
capabilities that fuel Watson
APIs, tools, methodologies,
SDKs, and infrastructure that
fuels Watson
© 2014 13 IBM Corporation

14. Watson Decision Advisor
Situations in which:
Need more informed, evidence-based
decisions
Large body of data is available to draw
upon
For example:
Clinical medicine treatment
Mechanical system repair
Airline capacity management
14
© 2014 14 IBM Corporation

15. Watson Decision Advisor helping oncologists treat cancer
Business problem:
Need better individualized cancer treatment plans
Solution:
• Evidence-based suggestions to inform oncologists’
decisions
• Analyzes patient data against massive volumes of
medical literature
• Evolves with the fast-changing field
Attacking the cause of
¼ of deaths
WellPoint’s Interactive Care
Insights for Oncology
powered by IBM Watson
© 2014 15 IBM Corporation

16. Watson Discovery Advisor
• Helps Researchers discovery
new insights by synthesizing
information in seconds
• Initial client focus in Pharma,
Education and Publishing
• Early Client Participants
© 2014 16 IBM Corporation

17. Watson Engagement Advisor
Helps organizations improve how
they answer their clients’ needs
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Engage under-engaged clients
Grow top-line revenue
Improve bottom line results
© 2014 17 IBM Corporation

18. Watson Explorer
• Find, extract and deliver content
regardless of format or where the data
resides
• Helps improve the return on all types of
information including:
• Structured data in databases and
data warehouses
• Unstructured content such as
documents and web pages
• Semi-structured information such
as XML
© 2014 18 IBM Corporation

19. Watson Analytics
• Enables anyone to independently discover new patterns to inform
better decisions
• Targeted horizontals: Sales and Marketing
• Cloud-based model supports adoption for departmental groups by
enabling quick startup and evaluation
Just ask
a question
© 2014 19 IBM Corporation

20. This will be Watson going for
Understands natural
language
Generates and evaluates
hypotheses
Adapts and learns
Reasons
Explores
Visualizes
Sees
Hears
Experiences
© 2014 20 IBM Corporation

21. Watson Debating System
© 2014 21 IBM Corporation

22. Imagine the possibility of leveraging all of your data assets
Precise fraud
risk detection
Traditional Approach
Structured, analytical, logical
Understand and
act on customer
sentiment
Data
Warehouse
Transaction
Data
Internal App
Data
Mainframe
Data
Structured
Repeatable
OLTP System
Data
Linear
Traditional
Sources
ERP
Data
New Approach
Low-latency
network analysis
Creative, holistic thought, intuition
Multimedia
Web Logs
Social Data
Predict and act on
intent to purchase
Hadoop
Streams
Unstructured
Exploratory
Text Data:
emails
Sensor data:
images
RFID
Dynamic
New
Sources
Data: Intimate,
unstructured.
Social, mobile, GPS,
web, photos, video,
email, logs
Accurate and
timely threat
detection
New ideas,
new
questions,
new answers
Data: rich, historical,
private, structured
customers, history,
Transactions,
financial..
The “Circle of Trust”
Data warehouse business
analytics moving closer to this
data
The real benefit is derived from integration of new data sources with traditional corporate data
© 2014 22 IBM Corporation

23. A New Architectural Approach is Required
Real-time Data Processing Analytics What is
Landing,
Exploration
and Archive
data zone
Deep
Analytics
data zone What did
EDW and
data mart
zone
Operational
data zone
Information Integration Governance
What action
should I
take?
Decision
management
Systems Security
On premise, Cloud, As a service
Storage
New/Enhanced
Applications
All Data
happening?
Discovery and
exploration
Why did it
happen?
Reporting and
analysis
I learn,
what’s best?
Cognitive
What could
happen?
Predictive
analytics and
modeling
© 2014 23 IBM Corporation

24. IBM Big Data Analytics (Watson Foundations) - One architecture
that fits together
Real-time processing analytics
Exploration,
landing and
archive
Trusted data
BigInsights
(Hadoop)
Data Matching
MDM
InfoSphere
Streams
PureData SPSS
Analytics
PureData
Operational
Analytics
Security
Privacy
DB2 Blu
Metadata
Lineage
for
Information Integration Governance
Actionable insight
Deep
analytics
modeling
PureData
for
Analytics
Reporting
interactive
analysis
Decision
management
Cognos
Predictive analytics
and modeling
Reporting,
analysis, content
analytics
Cognos
Discovery and
exploration
Operational
systems
DB2
Informix
PureData
for
Transactions
Information
Integration
DB2 Blu
Lifecycle
Management
Watson
Explorer
DIRECT
MOBILE
Data types
ONLINE
CALL
CENTER
POINT OF
COMMERCE
Other Customer
Data Sources,
Communication
Channels
Personalized
Campaign
Mgmt
Presence
Zones
Omni-Channel
Shopping
Fraud Mgmt
Real-Time Information
Deployment
Virtual
Inventory
Cloud - SoftLayer BlueMix
© 2014 24 IBM Corporation

25. Robert Lecklin IBM Sweden
Nordic Sales Manager
Big Data Analytics
IBM Software Group Mobile: +46707935279
Information Management robert.lecklin@se.ibm.com
www.ibmbigdatahub.com
www.analyticszone.com
© 2014 25 IBM Corporation