Copyright © 2017, Technology Futures, Inc. 3 · 1/2/2017  · Intelligent Cognitive Assistants...

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Transcript of Copyright © 2017, Technology Futures, Inc. 3 · 1/2/2017  · Intelligent Cognitive Assistants...

Page 1: Copyright © 2017, Technology Futures, Inc. 3 · 1/2/2017  · Intelligent Cognitive Assistants that complement, rather than replace, human capabilities. Three scenarios were described

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Lawrence Vanston, Ph.D.President,Technology Futures, Inc.

TFI Communications Technology & Asset Valuation Conference

January 26-27, 2017Marriott Courtyard Downtown

Austin, Texas

The New Transformative Technologies

13740 Research Blvd., Bldg. C-1 • Austin, Texas 78750 (512) 258-8898 • www.tfi.com

[email protected]

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The Forecasters

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4 Old Major Driving Forces

Physical Movement Telecommunications

Analog Digital Communications

Low Bandwidth High Bandwidth

Wireline Wireless

For complete list, please see appendix

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1988 TFI Study on Wireless by Ralph Lenz

• Conversion to digital systems by 1997• Total monthly service cost from present $145 to $40-$60 by 1997• U.S. mobile customers from present 915K to 3.4 – 4.0M by 1997• Excess cellular capacity to compete with wireline at below landline prices

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U.S. HDTV Households(1992 TFI Forecast)

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Lawrence K. Vanston, Curt Rogers, and Ray L. Hodges, Advanced Video Services—Analysis and Forecasts For Terrestrial Service Providers, Technology Futures, Inc., 1995, p. 106. This graphic appears in Introduction to Technology Market Forecasting, 1996, p.25.

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1992 TFI Multimedia Study

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4 New Major Driving Forces

Humans Machines

Slow Data Fast DataPeople Communicating Things Communicating

Computing Cognitive Computing

For complete list, please see appendix

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Humans MachinesRobots

Self Driving Vehicles

Drones

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Agricultural Robots

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Rescue Robots

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Military Robots

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Medical Robots

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Telepresence Robots

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Cognitive computing refers to systems that learn at scale, reason with purpose and interact with humans naturally. Rather than being explicitly programmed, they learn and reason from their interactions with us and from their experiences with their environment.

Computing Cognitive Computing

Source: John E. Kelly III, “Computing, cognition and the future of knowing”, IBM, 2015

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Cognitive Computing Tools

• Machine Learning• Data Mining• Pattern Recognition• Natural Language Processing

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https://www.nsf.gov/crssprgm/nano/2016-1001_Intelligent CognitiveAssistants_Workshop_2016_Final_Report.pdf

May 2016

The group reached a consensus around the concept of Intelligent Cognitive Assistants that complement, rather than replace, human capabilities.

Three scenarios were described –life- long education, group work, and elder care – that incorporate sensitivity to these research parameters in complex social environments, and which require interdisciplinary research to fully address.

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In fact, there is a very high likelihood that some of the most historically significant twenty-first century struggles will be over the control of such intelligent assistant systems and the data that is used to teach them –struggles between individuals, corporations, and governments.

Therefore, a public-private partnership within the United States between government, industry, and academia is absolutely essential to drive new fundamental research towards the most appropriate, effective and publicly responsible ‘Intelligent Cognitive Assistant’ solutions needed to solve our most critical challenges.

https://www.nsf.gov/crssprgm/nano/2016-1001_Intelligent CognitiveAssistants_Workshop_2016_Final_Report.pdf

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Kognit – Cognitive Assistants for Dementia Patients

http://www.slideshare.net/diannepatricia/kognit-cognitive-assistants-for-dementia-patients

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http://www.slideshare.net/diannepatricia/kognit-cognitive-assistants-for-dementia-patients

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http://www.slideshare.net/diannepatricia/kognit-cognitive-assistants-for-dementia-patients

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Copyright © 2017, Technology Futures, Inc. 26https://vimeo.com/132704158http://kognit.dfki.deDr. Daniel Sonntag

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According to our estimates, about 47 percent of total US employment is at risk. We further provide evidence that wages and educational attainment exhibit a strong negative relationship with an occupation’s probability of computerisation.

†Oxford Martin School, University of Oxford, ‡Department of Engineering Science, University of Oxford.

http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdfhttps://futureoflife.org/data/PDF/michael_osborne.pdf

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Fundamental Driving Forces Summary

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Epilogue

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45 New Major Driving Forces

Humans Machines

Slow Data Fast DataPeople Communicating Things Communicating

Computing Cognitive ComputingScreen-based Augmented/Virtual Reality

For complete list, please see appendix

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Implications

• Mutually reinforcing trends• Rapidly increasing performance requirements• Rapidly improving technologies• Widespread and massive investments• Frequent upgrades and rapid obsolescence• Tremendous potential employment

disruptions

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APPENDIX

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Fundamental Driving Forces - 1990s View

Physical Movement Telecommunications

Analog Digital Communications

Low Bandwidth High Bandwidth

Niche Markets Mass Markets

Mass Marketing Niche Marketing

Wireline Wireless

Electronic Optical

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(continued)

Dedicated Networks Integrated Networks

Circuit Switching Packet Switching

Closed Systems Open Systems

Single Media Multimedia

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New Fundamental Driving ForcesHumans Machines

Small Data Big DataClient/Server Cloud Computing

Slow Data Fast DataPeople Communicating Things Communicating

Computing Cognitive ComputingCommonality PersonalizationDeterministic Probabilistic

These overlap & support each other!

Screen-based Augmented/Virtual Reality

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Copyright © 2017, Technology Futures, Inc. 37Your Bridge to the Future

(512) 258-8898 • www.tfi.com