with cognitive business · – restrict the access to the data to specific (groups of) people,...
TRANSCRIPT
Mission PossibleWith cognitive Business
Where digital business meets digital intelligence
(and creates disruption)
Geert-Jan de Koning
Analytics Technical Lead, IBM Benelux
May 11, 2017© 2017 International Business Machines Corporation1
© 2016 International Business Machines Corporation2
Agenda and topics
Intro
AI and the real world
Disruption
Cognitive business
Examples
Data value
How to start
© 2016 International Business Machines Corporation3
Artificial Intelligence in Hollywood
A small test
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Artificial Intelligence in real life
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AI concerns and ethics
Digital businesses are
disrupting virtually every
industry and profession.
expect more
competitors
from outside
their industry
54% of CxOs
© 2016 International Business Machines Corporation6
Dramatic technology forces are behind
“creative disruption”
Digital commerce Cloud
The sharing economy
MobileIoT
BlockchainCognitive AI
Machine
learning
Data = THE
source of advantageOld intermediaries
no longer needed
Explosion of dataPervasiveInterconnectivity
34B connected devices in 2020 180 Zettabytes in 2025
Traditional IT market(Non Cloud)
Cloud IT
Cognitive
solutions
0.5
1.0
1.5
2.0
2.5
IBM Addressable Market ($T)
I90 I0 I10 I20
— IDC
— IDC
— IDC
— Gartner
Traditional IT
3-5% CAGR
New Markets
25% CAGR
75%of developers to embed
cognitive into apps by ‘18
Industry-focused cognitive/AI
top Investment by ‘20
55% of new
Apps cloud native by ‘19
Hybrid becomes
the infrastructure
foundation for next
move of apps
... transforming the IT industry
© 2016 International Business Machines Corporation9
3D “printing” propeller blade manufacturing.
RAM-LAB- On site
- Faster
- Repeatable
- Cheaper
- Embedded quality control
The next revolution: IBM emerges
Cloud
Cognitive
Industry
IBM’s next era
0%
1960 20001980 2016
100%
50%
Hardware and
systems management
Services
Cloud PlatformCognitive
Solutions Cloud and
cognitive-
led to be
half of
IBM...
...the other
half with it
embedded
Three disruptive forces are forcing leaders in government to
focus on three key areas …
Engage DecideDiscover
Increased demand for services
and citizen expectations
Placing greater pressures and
demands on and expectations for
public resources and services
requiring organizations to operate
smarter and more efficiently
Increased complexity
Challenging decision making
capabilities in navigating complex
operating and information
environments and increasing the
need for enhanced innovation
capacity to drive operational
improvements
Stagnant economic growth and
resource constraints
Challenging organizations to do more
with less and requiring them to better
leverage existing resources and
expertise while reducing instances of
fraud and error
Government organizations need to engage with citizens, discover
insights and make effective decisions to succeed
Engage DecideDiscover
Government CXOs actively
pursuing industry model
innovation2
Government CXOs that believe
citizens demand more
personalized experiences1
54% 59% 54%
Annual spend of U.S. Federal
Government3 …
… amount allocated based on basic
evidence3
$3 trillion
<1%Today In 3 years
Governments are faced with challenges pertaining to personalized
experience, insufficient skills and lack of effective decision making
EngageDecide
Government organizations
are weak in making cost
reduction decisions3
Government CXOs that believe
they’re not competent in providing
personalized citizen experience1
Key challenges of Government
CXO in pursuing disruptive
innovation2
Discover
58%53%
54%
55%
58% Insufficient skills
Lack of quality/ reliable data
Lack of analytical tools
Organizational complacency
67%
Data is growing fast- in volume, variety, and complexity –
traditional analytics solutions are not able to fully exploit its
value…
Sources: See speaker notes
Data is growing with time, but usability is
limited..
2.63 PBProjected volume of data stored on average by
in US Federal agencies in 20152,3
.5%
of data is produced a day by each cancer patient1
... because of the limits of traditional
analytics capabilities
Addresses predefined problems but cannot
adopt to new problem domain
Provides accurate and definitive answers but
cannot handle ambiguity or gray areas
Handles structured and unstructured
information with known semantics – thus
cannot make use of data from new and varied
sources
Interacts in formal digital means (e.g.,
commands, screens) with human – thus limits
the engagement of end user
Only 20% of data is visible to computers
80%
is invisible
Data Iceberg
© 2016 International Business Machines Corporation15
Structured and active Unstructured and dark
Data that’s coming
• Customer records
• Transactional systems
• Predictive models
• Institutional expertise
• Operational systems
• News
• Events
• Social media
• Weather
• Geospatial information
• Internet of Things (IoT)
• Sensory data
• Images
• Video
Data outside your firewallData you possess ++
Cognitive businesses can access and use all types of data.
© 2016 International Business Machines Corporation16
Data Assessment
The value of data goes down over time, while the risk of sensitive data being exposed goes up.
Almost 70% of your company data is ROT data
Use data assessment tools that can analyze what you have without moving the data from its original location
Shows the hits (in Blue to Red) of where sensitive data has been found in each source for further investigations.
In-Place Data Assessment
Gives an overview of what is there in the sources to enable further analysis to the data
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Possible Actions following the Assessment ActivitiesDelete
– Delete or purge redundant, obsolete or trivial (ROT) data.
Quarantine
– Place sensitive data in a controlled place with limited access.
Move
– Move the data to a access controlled environment such as IBM Content Foundation.
Declare as a records
– Declare the data as a record so it cannot be changed and has only view access by specific (groups of) people and gets a retention period, using tools such as IBM Enterprise Records
Restrict access
– Restrict the access to the data to specific (groups of) people, using tools such as IBM Guardium & Qradar.
Copy
– Take a copy of the (sensitive) data and place it in a controlled environment.
Archive
– Move the data to a separate Read Only storage environment with specific access grants.
Monitor
– As long as the source is stays active, monitoring the source for new sensitive data is an continuous activity.
Cognitive systems are creating a new partnership
between humans and technology
Humans excel at
DILEMMAS
COMPASSION
DREAMING
ABSTRACTION
IMAGINATION
MORALS
GENERALIZATION
Cognitive Systemsexcel atCOMMON SENSE (but with many biases)
ELIMINATING BIASES
LOCATING KNOWLEDGE
PATTERN IDENTIFICATION
MACHINE LEARNING
NATURAL LANGUAGE PROCESSING AT SCALE
PROVIDING ENDLESS CAPACITY
© 2016 International Business Machines Corporation20
Cognitive computing complements traditional analytics by
creating a value continuum
Analytics Cognitive computing
Addresses predefined
problems
Addresses ambiguous
problems
Provides accurate and
definitive answers
Provides answers with a
margin of error
Handles information with
known semantics
Handles information without
explicitly knowing semantics
Interacts in formal digital
means (e.g. commands,
screens) with humans
Interacts in natural
language with humans
What would this look like in the real world?
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What is real now?
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A quick detour to the early years: 2011
Watson only knew “Q&A”
Watson Jeopardy
Q&A
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What happened to Watson after Jeopardy?
Commercialization
Cross-industry Applications
R&D
IBMResearch Project
(2006 – )
Watson for
Healthcare(Aug 2011 –)
Watson for Financial
Services(Mar 2012 – )
Expansion
Demonstration
Jeopardy!Grand Challenge
(Feb 2011)
Watson Industry Solutions(2012 – )
© 2016 International Business Machines Corporation25
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Real-world applications for Watson
Healthcare / Life Sciences: Diagnostic
Assistance, Evidence-based, Collaborative
Medicine
Tech Support: Help-desk, Contact Centers,
Web Self-Service
Government: Improved Information
Sharing and Security
Enterprise Knowledge Management and
Business Intelligence, Regulatory
Compliance
Financial markets, insurance & banking
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© 2016 International Business Machines Corporation27
Health Deal: incl. IBM Watson
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Watson News explorer
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http://watson.ted.com/
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Watson applied to BI
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http://www.watsonanalytics.com/
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Watson services in Bluemix
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33 © 2016 International Business Machines Corporation
Where to start?The answer is in the data!
- Data Quality
- Data Governance
- Sensitive Data (GDPR!)
Watson has many faces
Think Big – Start Small – Fail Fast
Cognitive = IBM
© 2016 International Business Machines Corporation34
© 2016 International Business Machines Corporation
Resources:
Celia: https://www.youtube.com/watch?v=bMXPyKYY0u8
TED: http://watson.ted.com (TED ID/Password required)
News Explorer: http://news-explorer.mybluemix.net
BlueMix: www.ibm.com/WatsonDeveloperCloud
Watson Analytics: https://www.watsonanalytics.com
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Geert-Jan de Koning
www.ibm.com/nl-nl
[email protected]© 2016 International Business Machines Corporation36