Cognitive startups 20160708 v7
Transcript of Cognitive startups 20160708 v7
Jim Spohrer (IBM)
Singularity University – NASA Research Park, Mountain View, CA
Friday July 8, 2016http://www.slideshare.net/spohrer/cognitive-startups-20160708-v6
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Startup Opportunities for Cognitive Systems
$5M Prize
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I have…
Have you noticed how the building blocks just keep getting better?
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IBM Cloud Bluemix:Watson APIs are growing…
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So far (June 2016), 100,000 faculty and students globally given access
Societal Grand Challenges
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Solving these would mean we are smarter, but would they mean we are wiser?
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IBM Research – AlmadenSan Jose, CA USA
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IBM in Silicon Valley:From Punch Cards….
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On August 22, 1943, 105 men, women and children, among them 43 IBM employees, alighted from a special train that carried them across the continent to establish new homes and the new IBM Card Manufacturing Plant Number 5 at 16th and St. John Streets, San Jose, CA.
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IBM in Silicon Valley:To Brain Chips….
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IBM Research, Patents, Data, Cognitive
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MachineLearning
NaturalLanguageProcessing
HighPerformanceComputing
KnowledgeRepresentationand Reasoning
QuestionAnswering
UnstructuredInformation
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Cognitive Build
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I have…
Have you noticed how the building blocks just keep getting better?
Learning to program:My first program
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Early Computer Science Class:Watson Center at Columbia 1945
Jim Spohrer’sFirst Program 1972
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Fast Forward 2016:Consider this…
Microsoft CaptionBot June 19, 2016
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Microsoft CaptionBot June 20, 2016
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IBM Image Tagging
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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.
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1955 1975 1995 2015 2035 2055
Can better service help us be wiser?
Cognitive Mediator (2035): Tool, Assistant, Collaborator, Coach
What exists in 2016?
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360,000 100,000 120,000 60,000 150,000
Reality 2.0 Service Platform:polite cognitive mediators (CM1,CM2)
do not interrupt people (P1,P2)
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Service Platform
CM2
P2
CM1
P1
100x
100x 100x
By 2035, T-Shaped Makers with great Building Blocks and Cognitive Mediators
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Empathy & Teamwork
secto
r
regio
n/cu
lture
discip
line
De
pth
Breadth
STEM
Liberal Arts
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What might Reality 2.0 look like?
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How fast is Reality 2.0 approaching?
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What might it look like?
Computing: Then, Now, Projected
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2035
2055
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Wise Service System:All entities’ in networkuse cognitive mediatorsto enhance value co-creation interactions
Cognitive Mediators:Cognitive systems with deep knowledge of both customer (user) and provider (expert)as co-creators of win-win value
Entity augmentation boosts both creativity and productivity of interactions
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Cognitive Mediatorsfor all people in all roles
Occupations = Many Tasks
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Watson Discovery Advisor
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Simonite, T. 2014. Software Mines Science Papers to Make New Discoveries. MIT. November 25, 2014.URL: http://m.technologyreview.com/news/520461/software-mines-science-papers-to-make-new-discoveries/
User Models
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“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
Two assertions
• Machines seem to be getting smarter fast.
– Agree/disagree?
• People do not seem to be getting wiser fast.
– Agree/disagree?
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Homo Sapiens means Wise Man: True/False?
IBM Cloud Bluemix:Watson APIs are growing…
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So far (June 2016), 100,000 faculty and students globally given access
What is Industry 4.0?
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History of the idea: Mirror Worlds
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Why is this relevant?
I am still very skeptical… but tell me more….
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Managers: Courage Required….
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Talent required, but…
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Industry 4.0
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CyberPhysical Systems?
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Industry 4.0
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Yesterday: Servitization
• Rolls Royce: “Power By The Hour”
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
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)
In Summary
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“A service scienceperspective considersthe evolving ecology of service system entities, their value co-creation andcapability co-elevationinteractions, and their capabilities, constraints,rights, and responsibilities.”
Cognitive SystemsEntities
Service SystemsEntities With
CognitiveMediators
Add Rights &Responsibilities
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Explain external phenomena
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Explain internal phenomena
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Explainvalue co-creationphenomena
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Physics Chemistry Biology
Neuroscience Psychology ArtificialIntelligence
Engineering Management PublicPolicy
Education Design Humanities
Natural Systems
Cognitive Systems
Service Systems
Sciences provide…• Frameworks for people to ask and answer
questions systematically
• Explanations with instructions on “how to re-do”
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Kline: Conceptual Foundation of Multidisciplinary Thinking -“To our children and children’s children, to whom we elders owe an explanation of the worldthat is understandable, realistic, forward-looking, and whole.”
Proenneke:Alone in the Wilderness -To do a thorough testing,should each generationbe required to rapidly rebuildfrom scratch?A re-makers movement?
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
Next Generation:Future-Ready T-Shaped Adaptive Innovators
Many disciplinesMany sectors
Many regions/cultures(understanding & communications)
Deep
in o
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Deep
in o
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gion
/cultu
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Deep
in o
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isciplin
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Future-Ready T-Shapes
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Brief History of AI
1956 – Dartmouth Conference1956 – 1981 Micro-Worlds1981 – Japanese 5th Generation1988 – Expert Systems Peak1990 – AI Winter1997 – Deep Blue1997 – 2011 Real-World2011 – Jeopardy! & SIRI2013 – Cognitive Systems Institute2014 – Watson Business Unit &
True North Brain Chip2015 – “Cognition as a Service”
on IBM Bluemix
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Cognitive Assistants for all occupations are beginning to appear
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The Maker Movement & Open Source Ecology
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Future of Skills
T-Shaped “Future Ready” Talent
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CSIG
Assisting individuals and organizations to close their service innovation skills gap
and co-create wiser service systems empowering employees, customers, citizens
with cognitive mediatorsin the collaborative service economy
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Dedication: Doug EngelbartFather of the mouse and
augmentation theory
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1955 1975 1995 2015 2035 2055
Can better service help us be wiser?
Cognitive Mediator (2035): Tool, Assistant, Collaborator, Coach
But this stuff is still really hard…
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“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
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