© 2014 IBM Corporation Watson, Big Data and cognitive computing Arild Kristensen Nordic Sales Manager, Big Data Analytics Tlf.: +47 90532591 Email: [email protected]
Apr 21, 2017
© 2014 IBM Corporation
Watson, Big Data and cognitive
computing
Arild Kristensen
Nordic Sales Manager, Big Data Analytics
Tlf.: +47 90532591
Email: [email protected]
© 2014 IBM Corporation2
© 2014 IBM Corporation3
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 IBM Corporation4
Data at Scale Data in Many Forms Data in Motion Data Uncertainty
Big Data Is All Data
Volume Variety Velocity Veracity
© 2014 IBM Corporation55
We Have Entered a New Era of Computing . . .
TabulatingSystems Era
1900 2011
Programmable Systems Era
1950
. . .Enabling New Opportunities and Outcomes
© 2014 IBM Corporation6
Big Data Analytics And Natural LanguageCognitive: The Next Wave of Disruptive Technology
© 2014 IBM Corporation7
Principles of Cognitive Computing
Cognitive Systems Cognitive Systems Cognitive Systems Cognitive Systems - 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
Watson is a Cognitive SystemWatson is a Cognitive SystemWatson is a Cognitive SystemWatson is a Cognitive System– 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 IBM Corporation8
We are on a journey to Cognitive Computing
© 2014 IBM Corporation9
2011
WATSON
© 2014 IBM Corporation10
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.
Why We wanted to play Jeopardy
© 2014 IBM Corporation11
Watson in action During Jeopardy!
© 2014 IBM Corporation12
Understands
natural language and
human style
communication
Adapts and learns from
training, interaction,
and outcomes
Generates and
evaluates evidence-
based hypothesis
1 2
3
• Understands me
• Engages me
• Learns and improves over time
• Helps me discover
• Establishes trust
• Has endless capacity for insight
• Operates in a timely fashion
Watson combines transformational capabilities to deliver a
new world experience using cognitive computing
Watson:
© 2014 IBM Corporation13
IBM Watson
Advisors
IBM Watson
Solutions
IBM Watson
FoundationsIBM Watson
Cognitive FabricProvides the big data and analytics
capabilities that fuel Watson
Products based on
Watson’s core
attributes and
capabilities
APIs, tools, methodologies,
SDKs, and infrastructure that
fuels Watson
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
Announcing The Watson family - 2014
© 2014 IBM Corporation14
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 management14
© 2014 IBM Corporation15
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
WellPoint’s Interactive Care
Insights for Oncology
powered by IBM Watson
Attacking the cause of
¼ of deaths
© 2014 IBM Corporation16
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 IBM Corporation17
Watson Engagement Advisor
Helps organizations improve how
they answer their clients’ needs
17
� Engage under-engaged clients
� Grow top-line revenue
� Improve bottom line results
© 2014 IBM Corporation18
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 IBM Corporation19
Just ask
a question
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
© 2014 IBM Corporation20
This will be Watson going for
Sees
Hears
Experiences
Understands natural
language
Generates and evaluates
hypotheses
Adapts and learns
Reasons
Explores
Visualizes
© 2014 IBM Corporation21
Watson Debating System
© 2014 IBM Corporation22
Imagine the possibility of leveraging all of your data assets
Traditional ApproachStructured, analytical, logical
Data Warehouse
Internal AppData
TransactionData
MainframeData
OLTP SystemData
Traditional Sources
ERP Data
StructuredRepeatable
Linear
New ApproachCreative, holistic thought, intuition
Multimedia
Web Logs
Social Data
Sensor data:
images
RFID
UnstructuredExploratory
Dynamic
Text Data:
emails
Hadoop
Streams
NewSources
Data: Intimate,
unstructured.
Social, mobile, GPS,
web, photos, video,
email, logs
Precise fraud & risk detection
Understand and act on customer sentiment
Accurate and timely threat detection
Predict and act on intent to purchase
Low-latency network analysis
New ideas,
new
questions,
new answers
The real benefit is derived from integration of new data sources with traditional corporate data
Data: rich, historical,
private, structured
customers, history,
Transactions,
financial..
The “Circle of Trust”
Data warehouse & business
analytics moving closer to this
data
© 2014 IBM Corporation23
A New Architectural Approach is Required
Information Integration & Governance
Systems Security
On premise, Cloud, As a service
Storage
New/Enhanced
ApplicationsAll Data
What action should I take?
Decision management
Landing, Exploration and Archive data zone
EDW and data mart zone
Operational data zone
Real-time Data Processing & Analytics What is happening?
Discovery and exploration
Why did it happen?
Reporting and analysis
What could happen?
Predictive analytics and modeling
Deep Analytics data zone What did
I learn, what’s best?
Cognitive
© 2014 IBM Corporation24
Information Integration & Governance
Actionable insight
Exploration, landing and
archive
Trusted data
Reporting & interactive analysis
Deep analytics & modeling
Real-time processing & analytics
Decision
management
Predictive analytics and modeling
Reporting, analysis, content
analytics
Discovery and exploration
Operational systems
Information
IntegrationData Matching
& MDM
Security &
Privacy
Lifecycle
Management
Metadata &
Lineage
IBM Big Data Analytics (Watson Foundations) - One architecture
that fits together
BigInsights
(Hadoop)
InfoSphere
Streams
PureData
for
Analytics
DB2 Blu
Watson
Explorer
Cognos
Cognos
SPSSPureData
for
Analytics
PureData
Operational
Analytics
Data types
DIRECT
ONLINE
MOBILE
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
DB2
Informix
PureData
for
Transactions
DB2 Blu
Cloud - SoftLayer & BlueMix
© 2014 IBM Corporation25
Robert Lecklin IBM Sweden
Nordic Sales Manager
Big Data Analytics
IBM Software Group Mobile: +46707935279
Information Management [email protected]
www.ibmbigdatahub.com
www.analyticszone.com