1. Jim Spohrer (IBM)
San Jose, CA
Wednesday March 22, 2017
http://www.slideshare.net/spohrer/ibm-welcome-and-cognitive-20170322-v7
3/22/2017 1
IBM Welcome & Cognitive Future
27. What types of digital cognitive systems?
• Cognitive Build: Outthink Challenge (250K people)
• Imagine a digital cognitive system to help you do something
important in your personal or professional lives
• Team to design it and advocate for it, and then everyone
votes
• Winners: reduce waste and human suffering, screen for
health issues and safety threats, learn life skills and make
better choices, find what you are looking for, move around
more effectively, provide emotional support, provide IT
support, learn about important public policy goals and make
better choices
• Types: Tool, Assistant, Collaborator, Coach, Mediator
3/22/2017 Understanding Cognitive Systems 27
39. Courses
2015
– “How to build a cognitive system for Q&A task.”
– 9 months to 40% question answering accuracy
– 1-2 years for 90% accuracy, which questions to reject
2025
– “How to use a cognitive system to be a better professional X.”
– Tools to build a student level Q&A from textbook in 1 week
2035
– “How to use your cognitive mediator to build a startup.”
– Tools to build faculty level Q&A for textbook in one day
– Cognitive mediator knows a person better than they know themselves
2055
– “How to manage your workforce of digital workers.”
– Most people have 100 digital workers.
3/22/2017 39
40. 3/22/2017 40
1955 1975 1995 2015 2035 2055
Can better service help us be wiser?
Cognitive Mediator (2035): Tool, Assistant, Collaborator, Coach
49. “The best way to predict the future is to inspire the
next generation of students to build it better”
Digital Natives Transportation Water Manufacturing
Energy Construction ICT Retail
Finance Healthcare Education Government
50. By 2035, T-Shaped Makers with great
Building Blocks and Cognitive Mediators
3/22/2017 50
Empathy & Teamwork
sector
region/culture
discipline
Depth
Breadth
STEM
Liberal Arts
69. Tomorrow: Servitization
• Start with any traditional product that is sold to customers
• Make the product part of a smart/wise service system
– Instrument it (sensors) – Internet of Things/Everything
– Set-up an intelligent operation center to monitor all products’
performance across their life-cycles
– Use big data analytics to determine how to improve product
performance, efficiency, maintenance, etc.
– Offer customer the “product-performance-as-a-service” with
financing/Internet of Service
– Customer benefits from cost-savings, predictability
– Provider benefits margin-improvements, predictability
• Every product becomes a platform technology (a vehicle for
service innovation) for innovative university startups
70. Vision: MMaaRRSS
• Modular Manufacturing as a Regional
Recirculation Service System
– “I am the stuff that will be made into product X for
customer Y.”
– Stuff = Material, Energy, and Information Flows
– Minimize transport costs (for products and waste)
• The Vision: Circular Economy (~4 minutes)
77. Some paths to becoming 64x smarter:
Improving learning and performance
• 2x from Learning sciences (methods)
– Better models of concepts
– Better models of learners
• 2x from Learning technology (tools)
– Guided learning paths
– Elimination of “thrashing”
• 2x from Quantity effect (overlaps)
– More you know, faster you go
– Advanced organizers
• 2x from Lifelong learning (time)
– Longer lives and longer careers
– Keeps “learning-mode” activated
• 2x from Early learning (time)
– Start earlier: Challenged-based approach
– STEM-2D in K-12 (SSME+DAPP Design of Smart Service Systems)
• 2x from Cognitive systems (performance support)
– Technology & Infrastructure Interactions
– Organizations & Others Interactions
78. Next Generation:
Future-Ready T-Shaped Adaptive Innovators
Many disciplines
Many sectors
Many regions/cultures
(understanding & communications)
Deepinonesector
Deepinoneregion/culture
Deepinonediscipline
86. Assisting individuals and organizations
to close their service innovation skills gap
and co-create wiser service systems
empowering employees, customers, citizens
with cognitive mediators
in the collaborative service economy
90. “The best way to predict the future is to inspire the
next generation of students to build it better”
Digital Natives Transportation Water Manufacturing
Energy Construction ICT Retail
Finance Healthcare Education Government
93. Today’s Talk: Cyber-Social-Learning-
Systems• What is the impact of Artificial Intelligence (AI) on CSLS?
– Augmented Intelligence (IA) via digital cognitive systems
– White House OSTP Response(s)
• Other topics to think about:
– What are more of the implications of digital cognitive systems?
• Tool > Assistant > Collaborator > Coach > Mediator
• Transformation > Experience > Data > Software > Hardware
– What does social intelligence require? Episodic Memory?
– What is the impact of augmented reality on CSLS?
– What are possible connections to service systems science
(SSME+DAPP)?
– What type of adaptive innovator with growth mindset needed
(T-shapes)?
3/22/2017 Understanding Cognitive Systems 93
95. White House OSTP Response(s)
• AI for public good
• Social & economic implications
• Education to harness AI
• Research questions and gaps
• Data sets and model sets
• Multidisciplinary research
• Role of incentives and prizes
• Safety and control protocols
• Legal and governance issues
3/22/2017 Understanding Cognitive Systems 95
98. Understanding
Cognitive Systems
Jim Spohrer (IBM), August 25, 2016
CSIG (Cognitive Systems Institute Group) Speaker
Series
http://www.slideshare.net/spohrer/understanding_20
160825_v3
3/22/2017 Understanding Cognitive Systems
98
99. Today’s Talk: Understanding Cognitive
Systems• What is a cognitive system (entity)?
– biological
– technological
– types of digital cognitive systems
• How to…
– build them?
– understand them?
– work with them?
• Steps toward a next generation cognitive
curriculum…
3/22/2017 Understanding Cognitive Systems 99
100. But first…. Cognitive Science, a young
field
• Society
– cognitivesciencesociety.org
• People
– Founders: Roger Schank, Donald Norman,
Allan Collins
– Others: David Rumelhart, Herbert Simon,
Allen Newell
– Today: Patrick Langley, Wayne Gray,
Kenneth Forbus, Ashok Goel, Paul Maglio,
etc.
• Systems Conference
– cogsys.org
– (JCS wishes this was part of HICSS)
3/22/2017 Understanding Cognitive Systems 100
101. Advances in Cognitive Systems -
cogsys.org
3/22/2017 Understanding Cognitive Systems 101
103. Today’s Talk: Understanding Cognitive
Systems• What is a cognitive system (entity)?
– biological
– technological
– types of digital cognitive systems
• How to…
– build them?
– understand them?
– work with them?
• Steps toward a next generation cognitive
curriculum…
3/22/2017 Understanding Cognitive Systems 103
104. What is a cognitive system (entity)?
3/22/2017 Understanding Cognitive Systems 104
105. What is a digital cognitive system
(entity)?
3/22/2017 Understanding Cognitive Systems 105
106. What types of digital cognitive
systems?
• Cognitive Build: Outthink Challenge (250K people)
– Imagine a digital cognitive system to help you do
something important in your personal or professional
lives
– Team to design it and advocate for it, and then
everyone votes
– Winners: reduce waste and human suffering, screen
for health issues and safety threats, learn life skills and
make better choices, find what you are looking for,
move around more effectively, provide emotional
support, provide IT support, learn about important
public policy goals and make better choices
• Types: Tool, Assistant, Collaborator, Coach, Mediator
3/22/2017 Understanding Cognitive Systems 106
115. Backup slides
• Service systems - http://service-
science.info/archives/3368
3/22/2017 Understanding Cognitive Systems 115
116. What is service science?
• IBM initiated effort to establish a
multidisciplinary field to study
service systems … with a focus on
people-centered, IT-enabled service
innovations for business and society
– based on service-dominant logic
– service = value co-creation
– IT-enabled service architectures
– service systems (socio-technical
systems for win-win value co-creation)
• IBM helped establish
– computer science (1945-present)
– service science (2005-present)
3/22/2017 Understanding Cognitive Systems 116
Service systems are dynamic configurations of
resources (people, technology, organizations,
and information) interconnected by
value propositions, internally and externally.
Examples:
- macro: cities, states, nations
- meso: hospitals, universities, businesses
- micro: households, families, individuals
Reference:
Spohrer J, Maglio P, Bailey J, Gruhl D (2007)
Steps toward a science of service systems.
IEEE Computer Society. 40(3):71-77(January).
117. What is service science?
• Now over 500 universities globally teach a more
multidisciplinary approach to service innovation,
including:
– Service management and marketing
– Service engineering and operations
– Service design and arts
– Service public policy and economics
– Service computing and informatics
• SSME + DAPP =
Service Science Management Engineering +
Design Arts Public Policy
– People, technology, organizations, information
interconnected by value propositions.
3/22/2017 Understanding Cognitive Systems 117
Reference:
IfM & IBM (2008). Succeeding through service
innovation: A service perspective for education,
research, business and government.
University of Cambridge Institute for Manufacturing,
Cambridge, UK. 2008.
118. How to get involved?
• Weekly speaker series
– Service innovation
– Service education & research
– Smart service/cognitive systems
• Discovery summits & book series
• Opportunities
– Institutional memberships
– Leadership & ambassadors
– Volunteer opportunities
– Awards & sponsored
conferences
3/22/2017 Understanding Cognitive Systems 118
ISSIP.org is a non-profit society
International Society of Service Innovation Professionals
Membership:
Over 1000 professionals and students from 40+ countries,
50+ companies and 50+ universities.
119. How to get involved?
• Journals (INFORMS,
etc.)
• Conferences (HICSS,
etc.)
• Courses (MIT, etc.)
• Funding (NSF, etc.)
• Society (ISSIP, etc.)
3/22/2017 Understanding Cognitive Systems 119
120. What are the hot topics?
• Smart Service Systems: Intelligence Augmentation
– AI + AR UX (Artificial Intelligence + Augmented Reality User
Experience)
– Smartphones (mobile, social, secure, etc.)
• Collaborative Economy: Servitization
– From assets to co-creation (e.g., Uber, AirBnB, etc.)
– From product to capability/outcome-as-a-service
– Manufacturing as a local recycling service
• Digital Transformation: Trust and Identity
– Blockchain: Don Tapscott’s TED Talk & book
– Big Data: Service Analytics & HAT (Hub of All Things)
3/22/2017 Understanding Cognitive Systems 120
122. Some paths to becoming 64x smarter:
Improving learning and performance
• 2x from Learning sciences (methods)
– Better models of concepts
– Better models of learners
• 2x from Learning technology (tools)
– Guided learning paths
– Elimination of “thrashing”
• 2x from Quantity effect (overlaps)
– More you know, faster you go
– Advanced organizers
• 2x from Lifelong learning (time)
– Longer lives and longer careers
– Keeps “learning-mode” activated
• 2x from Early learning (time)
– Start earlier: Challenged-based approach
– STEM-2D in K-12 (SSME+DAPP Design of Smart Service Systems)
• 2x from Cognitive systems (performance support)
– Technology & Infrastructure Interactions
– Organizations & Others Interactions
123. Next Generation:
Future-Ready T-Shaped Adaptive Innovators
Many disciplines
Many sectors
Many regions/cultures
(understanding & communications)
Deepinonesector
Deepinoneregion/culture
Deepinonediscipline