ibm big data analytics - cognitive computing and watson - findability day 2014

© 2014 IBM Corporation

Watson, Big Data and cognitive

computing

Arild Kristensen

Nordic Sales Manager, Big Data Analytics

Tlf.: +47 90532591

Email: [email protected]


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.”


Data at Scale Data in Many Forms Data in Motion Data Uncertainty

Big Data Is All Data

Volume Variety Velocity Veracity


We Have Entered a New Era of Computing . . .

TabulatingSystems Era

1900 2011

Programmable Systems Era

1950

. . .Enabling New Opportunities and Outcomes


Big Data Analytics And Natural LanguageCognitive: The Next Wave of Disruptive Technology


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


We are on a journey to Cognitive Computing


2011

WATSON


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


Watson in action During Jeopardy!


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:


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


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


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


Watson Discovery Advisor

• Helps Researchers discovery

new insights by synthesizing

information in seconds

• Initial client focus in Pharma,

Education and Publishing

• Early Client Participants


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


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


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


This will be Watson going for

Sees

Hears

Experiences

Understands natural

language

Generates and evaluates

hypotheses

Adapts and learns

Reasons

Explores

Visualizes


Watson Debating System


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


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


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


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

ibm big data analytics - cognitive computing and watson - findability day 2014

Data & Analytics