The Art & Science of Looking at the Future...Opportunity 2016-2020 45 million unpaid caregivers by...
Transcript of The Art & Science of Looking at the Future...Opportunity 2016-2020 45 million unpaid caregivers by...
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Foresight Analysis
The Art & Science of
Looking at the Future
September 6, 2019
Bay Area Community Council
Foresight Workshop Facilitator
Garry Golden
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Drivers of Change
Warm upsScanning
for SignalsNext StepsTaking
Mental Leaps
10:15 am 1:00 pm 2:15 pm8:00 am
SESSION FLOW
3:45 pm
Era- ChangeForesight 101
9:15 am
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Describe the first (or memorable) time you were asked to think about the future
Why? How? Outcome?
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How valuable do you feel strategic foresight can be for your organization’s strategic planning process?
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Foresight Benefits / Outcomes❑ Uncover & Challenge Core Assumptions
❑ Uncertainty-oriented Decision-making & Risk Management
❑ Focus on Multiple Outcomes, Time Horizons
❑ Guiding Organizational Transformation
❑ Market Transition-based Innovation
❑ Organizational Readiness / Leadership
❑ Create a Knowledge Base - Creation / Diffusion
❑ Issue Identification / Monitoring
❑ Gap Analysis: Portfolio and Capacity
❑ Increased Value of Social Capital
❑ Informed/Engaged Civic Conversations
PERCEIVED BENEFITS & OUTCOMES
The Front-end of Innovation & Strategy
Organizational Benefits of Thinking about the Future?
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Next
ten years
Last
ten years
2009 – 2019 2020-2030
MORE OR LESS CHANGE AHEAD
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2007 2017Why Software is Eating the World…
THE SLOW PACE OF FAST CHANGE
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THREE POINT OF VIEWS ON CHANGE
Our ability to have …
❑ Hindsight❑ Insight ❑ Foresight…
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IN YOUR OWN WORDS…
Defining Foresight
How would you describe foresight to a colleague or customer?
What do you do? Outputs? Outcomes?
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DEVELOPING SHARED LANGUAGE
Foresight… the ability to anticipate and lead change
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ANTICIPATING TRANSITIONS
Incremental Innovation
within an Era
Transformational Innovation
across a New Era
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S-CURVE ERA TRANSITIONS
Slow Change‘Emerging’
Next Era Disruptions
Rapid Change‘Accelerating’
Plateau of Change‘Diminishing Returns’
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ERAS OF MOBILITY
Muscle
Automobile
Boat
Aviation
What is next?
❑ Electric Vehicles
❑ Autonomous
❑ Low-Volume Production
❑ Sub-orbital Space
Rail
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FORESIGHT: MONITORING SIGNALS OF CHANGE
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IMPLICATIONS: ERA OF AUTONOMOUS
❑ Infrastructure & Supply Chains ‘Electric’ = Motor (Hydrogen FCs = EVs)
❑ Portable Places
❑ Empowered Cities & Campuses
❑ Societies Leap-frogging ❑ Sensing Functionality of Fleets
(Primary Situational Awareness) SURUS Platform Silent Utility Rover Universal Superstructure
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MILITARY & CIVILIAN APPLICATIONS
Persistent State of Micro UAVsParatroopers from the 3rd Brigade Combat Team, 82nd Airborne Division, are now using the tiny, helicopter-like Black Hornet Personal Reconnaissance System (PRS), giving them near-real-time footage
Radical Societal Scenario: Ubiquitous Computer VisionMicro UAV (PRS) for every person, equipment and environment
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ERAS OF MATERIALS ENGINEERING
Clay Wood Stone
Silicon
Metals Copper Steel What is next?
❑ Nanoscale (Carbon)
❑ Additive
❑ Bio-manufacturing
Polymers/Plastics
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ERA OF ADDITIVE MANUFACTURING
Implications for: ❑ Compression of Supply Chains
❑ Talent & Equipment
❑ Uptime & Service Contracts
❑ Structure Design & Longevity
❑ Raw Materials & Waste
❑ IP / Design Files
Sparse Concrete Reinforcement In Meshworks (SCRIM)
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ERAS OF MEDIA & COMMUNICATION
One to One
Broadcast: One to Many
What is next?
❑ AI Assistants
❑ IoT – Device to Device
❑ Deep Fakes
Social: Many to Many
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ERAS OF DIGITAL INTERACTION + INTERFACES
PC - Websites
Clicking
Mobile Apps
Touch – Swiping
AI Assistants (Avatars) [Conversation & Personality]
VR / Mixed Reality
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PLATFORM DECISION: OURS OR YOURS?
Future of Assistants (Avatars):
Today: Alexa?
Hey Google?
Tomorrow: No, my Avatar
Personal Artificial Intelligence (PAI)People manage Personalities (as Profiles)
Radical Societal Scenario: Age of AI Assistants By 2030, people are actively managing their own ‘Avatars’
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WE ARE NOT PREPARED: ERA OF DEEPFAKES
SignalDeep Fakes
Are Coming
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GENERATIVE DESIGN TOOLS
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Healthcare / Wellness Population Health; Outcomes-based Care; Genomics
Agriculture / Farming / FoodPrecision Ag; Automation; Urban; Bio-; Small scale farmer
Retail Online; Hybrid Brick+Mortar; Localization
Education / LearningLife stage to Lifelong; AI / Augmented
Media / CommunicationAuthentication/Verification; AI; IoT; Agents/Assistants
Entertainment Avatar Celebrities & Identities; Mixed Reality; Wellness
SOCIETY NAVIGATING ERA TRANSITIONS
Role of Foresight
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THE SLOW PACE OF FAST CHANGE
Disruptive Change can be
Gradual, then Sudden
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RESOURCE GUIDE: ERA-BASED ANALYSIS
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APPLYING FORESIGHT WITH CLIENTS
❑Work with colleagues and/or customers in generating PoV on era-based transitions
❑Surface three (3) assumptions that might be discarded across the S-curve era transition
❑Identify three (3) hunting groundopportunities for future growth or social impact
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RELATED FRAMEWORKS
Experience Curve
Low-end Disruption Hype Cycle
Crossing the Chasm
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PRESENT-FUTURE VS FUTURE-BACK
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IMAGINING A FUTURE-BACK STRATEGY
Our Task & Path ❑ Define
Future States
❑ Lead
Strategic Dialogues
❑ Align Leadership
Close Gaps
❑ Lead Customers
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FORESIGHT = SECOND & THIRD HORIZON
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QUESTIONS ON ERA-BASED THINKING?
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HISTORY & EVOLUTION OF FORESIGHT
William Ogburn (1930s)
Social Change (Society + Technology)
Herman Kahn (‘50/60s)RAND / Hudson Institute
Scenario-based Decisions
(’80-Present) Rise of Strategy Industry
Club of Rome / Limits to Growth (70s)
Systems-based Simulations
2010s + Beyond
Era of Integration, Inclusivity & Intervention
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FORESIGHT: KEY ACTIVITIES
❑ Visioning & Backcasting ❑ Planning, Goal Setting & Roadmapping❑ Transformation Management
❑ Forecasts(Trend Extrapolation)
❑ Scenarios (Alternative Assumptions)
❑ Horizon Scanning ❑ Emerging Issues Analysis❑ Indicator Analysis
(Leading vs Lagging)
Investigate Imagine Inspire
Wendy Schultz/Garry Golden
Identifying & Monitoring Change
Exploring Implications Communicating the Need for Change
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FORESIGHT: MECHANISMS OF CHANGE
Trends(Continuities)
Choices(Discontinuities)
Events(Discontinuities)
Plausible Future
Possible Futures
Preferred Future
Forecasts
Scenarios
Visions
Popularized by Peter Bishop
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Which influences the long-term future the most?
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Which is better for understanding the long-term future?
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Expected future
Past Present
Plan A
Scenario B
Scenario C
Scenario D
Scenario E
CONE OF PLAUSIBILTY: SCENARIO BASED PLANNING
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? 2008 – 2014
FOUR FUTURES THINKING
Continued
Growth
Disciplined
Constrained
Transformed Decline
Collapse
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WE WILL WRITE OUR FOUR FUTURES
Continued Growth
DisciplinedConstrained
Transformed Decline Collapse
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BRINGING FORESIGHT IN-HOUSE
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ORGS WITH FORESIGHT PRACTICES
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EXPANDING LEADERSHIP CAPABILITIES
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MATURITY MODEL TERRY GRIM
Example of
Organizational
Scorecard
Level 1
Ad HocLevel 2
AwareLevel 3
CapableLevel 4
MatureLevel 5
World
Class
Leadership
Framing
Planning
Scanning
Forecasting
Visioning
Today
Today
Today
Today
Today
Today
Goal
Goal
Goal
Goal
Goal
Goal
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ASSESSING RETURN/VALUE
We developed a model for assessing the future preparedness (FP) of a firm
❑ We match FP data from 2008 and performance in 2015
❑ Future-prepared firms outperformed the average by a 33% higher profitability
❑ Firms with deficiencies face a performance discount of 37% to 108%
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CREATING A FORESIGHT FRAMEWORK
European Corporate Foresight Group
Foresight Measures by…
❑ Information Usage
❑ Methods (Sophistication)
❑ People & Networks
❑ Organization (Internal)
❑ Culture
Consider:
❑ Behaviors
❑ Storytelling
❑ Original Content
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WHAT BOOK SHOULD I READ?
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QUESTIONS ON FORESIGHT?
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CHALLENGE OF TALKING ABOUT THE FUTURE
Addressing Foundations Feeling ‘Futuristic’
Self-Work on Equity & Justice
Purpose, Happiness vs Helplessness
Imperative of Being Local
Globalization
Techno-Solutions Empowered Self
Growth
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DRIVERS OF CHANGE
From Social Graph to Experience Graph
Demographic Destinies
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DEMOGRAPHICS AS DESTINY (?)
Sector Implications for: Rural vs Urban Labor Markets Education and Labor Industry Make-up Infrastructure Spending Electorate Sentiment
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POLICY & SOCIALS NORMS IN TRANSITION
Source: populationpyramid.net
Demographic Dividend
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RURAL VS METRO IMPLICATIONS
Metropolitan Pyramids Rural & Small Town Pyramids
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EU CHALLENGE OF AGING
Source: populationpyramid.net
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CHINA GETS OLD, NOT YET RICH
Source: populationpyramid.net
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AGING ELECTORATES IN REGIONAL POWERS
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INVESTING IN FUTURE DIVIDENDS
Source: populationpyramid.net
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N.A. Expands Social Safety Net
EU Dissolves
China Stalls
Capital Flows =
South to South Economy
MENA
Magnet
Aspiring Americas
DEMOGRAPHIC DESTINIES?
South Asia Workforce
Africa Ascending
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OUR DEMOGRAPHIC DESTINITES?
Source: populationpyramid.net
US Census / achievebrowncounty.org, 2016
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US Census / achievebrowncounty.org, 2016
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FINANCING FOR AGING IN PLACE
Enabling Loans for Aging in Place+ Aging in Community
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LEVERAGING KEY ASSETS
Fractional
Ownership
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CAREGIVER SOLUTIONS
AARP Report Finds Caregiving Market Will Grow 13% To Become $279 Billion Disruptive Opportunity 2016-2020
45 million unpaid caregivers by 2020
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COORDINATING FINANCIAL EXPERIENCES
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UNDERSTANDING NEEDS
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C.A.R.E. STUDY
❑ Costs: Financial considerations of long-term care
❑ Accountabilities:Obligations of caregiving
❑ Realities: Actual experience of aging or caregiving vs. anticipation
❑ Emotions: Mindset of adult dependent and caregiver
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FINTECH: CAREGIVER EXPERIENCES
Financial Health Checkup
Credit Report and Action List
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FINTECH: END OF LIFE PLANNING
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CARD & PAYMENT SOLUTIONS
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CARD & PAYMENT SOLUTIONS
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INNOVATION MINDSET FOR AGING POPULATIONS & CAREGIVERS
Innovation to Drive Business: ❑ Extending Working Years❑ Retirement ❑ Asset Protection❑ Workplace Benefits ❑ Security / Fraud Protection ❑ Housing❑ Unbanked (Uninsured)
Innovation to Bring Value: ❑ Reduction of Financial Stress ❑ Social Isolation ❑ Dignity & Purpose❑ Fairness / Discrimination ❑ Cognitive Support Needs❑ Expanding Notions of Community ❑ Language (Senior; Older Adult)❑ Caregiver Burdens (20% month)
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LEARNING MORE
Follow Signals via Garry’s Social Bookmarks (‘Tags’) ❑ https://www.diigo.com/user/garrygolden/aging❑ https://www.diigo.com/user/garrygolden/demographics❑ https://www.diigo.com/user/garrygolden/millennials
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DEMOGRAPHICS
How might demographic transitions
have an impact on your organization?
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DATA-DRIVEN INNOVATIONS
What might be the
most valuable types
of data in our future?
How might data, advanced
analytics and AI transform
your responsibilities?
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MATURITY MODELS & VALUE CHAINS
Roadmap for
Business Intelligence
❑ Descriptive Analytics
Reporting Tools;
KPI Dashboards
❑ Predictive Analytics
Forecasting;
Decision Support
❑ Prescriptive Analytics
Guiding Outcomes Complexity of Data & Member Relationship Management
Co
mp
eti
tive A
dv
an
tag
e &
Valu
e O
fferi
ng
Descriptive AnalyticsWhat happened…
Predictive AnalyticsWhat might happen…
Prescriptive AnalyticsWhat should happen…
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FUTURE OF DATA-DRIVEN CHANGE
In the News
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IN THE NEWS
True False
Harvard Business School is piloting a program
with Experience.ai to capture experience data
from learning, project performance and decision
processes within case study groups. Harvard’s
vision is for every student to retain rights to
experience data and build a critical personal
digital asset for the future.
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Context of the Creepy Line
Inevitability of Dealing with the Creepy vs Compelling Line in..
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SOCIETY TRANFORMED, AGAIN?
Social Graphs
Experience Graphs
Scenario 2020s
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TOOLMAKERS: GRAPHS & CONNECTED DATA
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RISE OF GRAPH DATA STRATEGIES
Bob
Actors Meetup
Alice
Boston
Theatre Music
Review
Liked
Liked
Node
Relationship
Node
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ERA OF SOCIAL GRAPH
CEO Mark Zuckerberg:
“Social Graph" in 2007
referring to the network of
connections and relationships documented by Facebook members
WHAT MIGHT BE NEXT?
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WEB = DISTRIBUTION PLATFORM
1993
Social Norms for theAnonymous-Access Web
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WEB = SOCIAL PLATFORM
2008
Social Norms & the Social Web
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WEB = GUIDING OUTCOMES
Everyone knows I’m working on some personal growth
issues
Platform for Managing Outcomes & Behavior Change
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DATA IN AN OUTCOMES-DRIVEN WORLD
Social Data
Health Data
Learning & Doing
Experience Data Device +
Infrastructure
“I did this…”
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ORGANIZATIONS NEED THE DOING DATA
Course Real World
3 hours 300 hours
“I did this…”Activity Capture
Assumption for 2020s: Experience Data emerges inside schools, workplace & everyday life
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EXPERIENCE DATA SHOWS OUR JOURNEY
❑ Sarah read an article on blockchain for automating compliance ❑ Sarah opened an Evernote folder on blockchain solutions ❑ Sarah watched a Youtube video introducing the Ethereum blockchain ❑ Sarah searched for Ethereum Meetups in NYC❑ Sarah attended the Crypto Compliance conference in NYC ❑ Sarah created a List of ‘Ethereum Developers’ (People) on Twitter❑ Sarah interviewed the Head of Blockchain Solutions at JPMorgan❑ Sarah mentored with Joe Lubin co-Founder of Consensys❑ Sarah completed a course on Ethereum’s Solidity programming language ❑ Sarah demonstrated her pilot Ethereum application at a NYC Meetup ❑ Sarah taught a Coursera MOOC on Ethereum for KYC / AML❑ Sarah was hired as Developer of Blockchain Compliance Solutions at Fidelity
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ENTERPRISE L&D: EARLY ADOPTERS
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Understanding
LMS/CMS Activity
Expanding
Video-based Analytics
ExperienceAPI (xAPI) L&D integration with focus on training for
Service, Sales, Leadership & Marketing.
When trying to help someone learn, the team considers these three vital
questions:
1.Where does the learner want to go?
2.What does the learner know?
3.How can we develop the individual?
WILL IT LEAP BEYOND L&D?
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WHAT ABOUT DEVICE EXPERIENCES?
Computer Vision in the Field
+
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BY 2025, EXPERIENCE DATA = PRIZED DIGITAL ASSET
Social Data Experience Data
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HOW MIGHT WE MAKE SENSE OF IT?
Tables = Past Graph Thinking = Future
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EXPERIENCE GRAPHS: UNDERSTANDING THE JOURNEY
Mirrors Real World Profiles, Pathways & Outcomes
Actor verb nounI did this…
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Watched VideoHow to Peel?
Noah is Connecting Things on his Experience Graph
Farmer Videos How they are grown
Classroom Project: Things that Grow
Daddy Loves Pomegranate
Who might have permission to see connections of experiences? Learner, Teachers, Parents, Libraries, Museums, Park Staff…
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EARLY SIGNALS OF PERFORMANCE EVALUATION
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Members – Companies – Jobs – Skills – Schools – Knowledge
CONNECTED DATA AROUND REGIONAL ECONOMIES
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VENDORS: ENTERPRISE KNOWLEDGE GRAPHS
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99
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100
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Build a Layer:Experience Graph Meets Knowledge Graph
KNOWLEDGE GRAPHS MEET EXPERIENCE GRAPHS
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MAINSTREAMING OF EXPERIENCE DATA
SignalLegacy Industries
Integrating Experience Data
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CREEPY VS COMPELLING LINE
SignalDystopian Variations of Experience Data
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GRAPH ANALYTICS USE CASES
❑ Automation & AI Preparing Operational Data for Machine Readable Age
❑ AI Driving Performance SupportContext-based Training, Moving to Model of Performance Support
❑ Knowledge Graphs Organizational Capabilities; Protocols & Procedures
❑ Risk Management Graphs Integration of Data Silos; Threat Detection/Assessment; Security Controls
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IMPLICATIONS FOR ENTERPRISES
❑ Experience Data (Spectrum)Ownership, Control vs Access
❑ Datasets for AI (ML/DL) Own; Sell Access to…
❑ Critiques
Too Creepy?; Over-engineered?
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SCENARIO: ERA OF EXPERIENCE GRAPHS
How might a world reshaped by experience data transform the nature of work and your approach to management and leadership?
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LEARNING MORE
Graph Analytics ExperienceAPI Analytics Learning Record Stores (LRS)
is Database for ‘xAPI’ statements
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What is the biggest risk we should take over the next five years to align our organizations to this emerging world?
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Which is the most frequently overlooked characteristic of successful change?
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BRINGING FORESIGHT TO CLIENTS
Value of Process (Tools, Techniques, Behaviors)
Value of Content (Domain expertise; Knowledge)
The Foundation is Scanning for Signals of Change
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THE VALUE OF SIGNALS AS INPUTS
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SourceGeneric Foresight Process Framework (Joseph Voros, A Generic Foresight Process Framework, 2003)
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THE PRACTICE OF TAKING MENTAL LEAPS
❑ Visioning & Backcasting❑ Planning, Goal Setting & Roadmapping❑ Transformation Management
❑ Forecasts(Trend Extrapolation)
❑ Scenarios (Alternative Assumptions)
❑ Horizon Scanning ❑ Emerging Issues Analysis❑ Indicator Analysis
(Leading vs Lagging)
Investigate Imagine Inspire Identifying & Monitoring Change
Exploring Implications Communicating the Need for Change
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SCANNING FOR SIGNALS
Signals
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On average, how many interesting stories about change (the future) do you find per week.
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SCANNING WIDELY ACROSS THEMES
Scanning for Signals Across S.T.E.E.P.Categories of Change
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JUDGING SIGNALS OF CHANGE
Scanning: Criteria and Considerations
Signals may be judged on the following elements:
❑ Source Credibility
❑ Newness/Uniqueness
❑ Degree of Uncertainty
❑ Degree of Impact
❑ Momentum (e.g. slowing down, speeding up)
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APPLYING SIGNALS OF CHANGE
When applied to scenario thinking or customer
research a signal may do one of three things:
❑Confirm assumptions of one scenario outcome
❑Diminish the likelihood of a particular scenario
❑Create a new scenario to consider
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SIGNALS: BACKLASH AGAINST TECH
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SIGNAL: AI AGENTS AS ECONOMIC ACTORS
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What role might AI play in our region’s social services?
Does it cross a ‘creepy line’ of surveillance or help protect people?
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https://afrotech.com/this-startup-wants-to-connect-patients-with-doctors-of-color
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How might BACC help make connections across the region?
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How might BACC help rethink food supply chains?
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How might BACC help bring agri-industry into era of
blockchain?
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How might we broaden conversations on
future of talent/investment in an age of additive manufacturing ?
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128
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Avoiding Excessive Outsourcing
Change BehaviorShift Mindset
Vs
Scanning to Check the Box
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The Big Picture: Potential Pitfalls
Seeing Signals and wanting to:
❑Pick the winner ❑Figure out the answer❑Act right now❑Hit Home Run ❑Skip over what
we don’t understand
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FOUNDATION FOR BEHAVIOR CHANGE
Developing a Practice of Horizon Scanning
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When I want to learn about a new topic – my preference is to
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EXPANDING SIGNAL SOURCES
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#longevity
Step One: Understand the Language of Communities
#AgingintotheFuture
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Learning the Language and Code of Thematic ConversationsSocial Determinants of Health
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Learning the Language and Code of Thematic Conversations
Task: Understand the Language of Your Domain
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TWITTER & LANGUAGE OF CHANGE
Hash Tags Help Build Your ‘Follow’ Network + Sources
Aligning Taxonomy with Hash Tags
Task Goal for Your Domain: Identify 10-20 hash tags for consideration
Starter Hash Tag List: #futureofwork
#AI
#techlash
#algobias
#automation
Dynamics Hash Tags - Upside: Orbital Object for People, Ideas and Communities;
Best used around ‘events’ (Conferences; Chats)
Downside: Noise; Spam; Vendor dominated
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TWITTER: EFFECTIVE USE OF FILTERS
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WHO ARE THEY FOLLOWING
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TWITTER: CREATE LISTS
https://twitter.com/garrygolden/listsList URL
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GOOGLE: DELIVER NEW SIGNALS
1) Go to: google.com/alerts
2) Enter Series of Keywords
Google Alerts: Keywords
3) Choose Delivery Time
vs. Digest to Manage Flows
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GOOGLE: LANGUAGE & FILTERS Google Alerts: Keywords
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GOOGLE: TIPS TO GET STARTED
❑ Start with Ten Keywords
(Test variations;
Delete Ineffective Keywords)
❑ Start with Digest Mode
❑ Create a Gmail Folder
to Avoid Crowding Inbox
❑ Yes, Google is Watching
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LINKEDIN: MORE USEFUL EVERY DAY
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FOUNDATION FOR SOURCING
Questions on Signals Sourcing Strategies?
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When I find an interesting story that challenges my view of the future, my first reaction is to…
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FOUNDATION FOR ARCHIVING & SHARING
Tool:
Organizing Your Signals ‘Tagging’
‘Social Bookmarks’
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WHY TAGGING MATTERS…
Collect & Share Signals as Social Bookmarks
Social Bookmarking allows you to automate and archive your efforts so you can review them all together under common keywords – and share with colleagues.
Diigo helps you avoid having to remember where you read something—simply get into the habit of tagging relevant website, videos, and reports that you find along the way.
With practice the ‘tagging’ of a web browser based signal (news story, video, PDF, et al) should take five (5) seconds to filter and archive with three tags.
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TAGGING IN LESS THAN FIVE SECONDS
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Collect & Share Signals as Social Bookmarks
Task: Create Set of ‘Tags’ for Your Team &
Domain
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LIBRARY ARCHIVE OF SIGNALS
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SETTING UP: PROFILE & BROWSER EXT
Set up a Free Profile at:
www.diigo.com/
Install Plug-in / Extension Start Tagging Signals!
You may use your real name (e.g. Garry Golden) or fictional name to protect privacy. Ideally we are able to share profile names across the signals team.
Note your profile will appear as:
The Diigo website should recognize the web browser you are using during set up so it is easy to do. After the extension is installed you are ready to go.
When you wish to ‘tag’ or archive a webpage simply click on the small “D” icon on your browser.
Note: You can also create a ‘hot key’ such as Control+Z to automatically launch ‘edit/enter’ mode to enter keywords. Saves you a click!
https://www.diigo.com/user/garrygolden/
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BEHAVIORS & DAILY PRACTICE
15 minute
Morning Coffee
& Twitter Session
❑Scan Quickly Signals that Pass Sniff Test
❑Scan Broadly Personal & Professional themes
to Keep it Fun & Relevant
❑Scan to Challenge AssumptionsLess on confirming signals and themes
I already understand
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Turning Signals into Stories
Trend Card
Poker
Futures Wheel Four Futures
Framework
Forecast
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What is the biggest risk we should take over the next five years to align our organizations to this emerging world?
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Re
adin
ess
Urgency
Not Urgent Urgent –Critical
Not Ready
Ready
SomewhatReady
Important
Take a Pulse Check on Emerging Trends vs Organizational Appetite
Theme #1
Theme #2
Theme #3
Theme #4
Top Trends/Themes1)2)3) 4) 5)
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Launch Conversation on Who do we want to be…?
“I” Shaped PersonSuccess via Specialization
“T” Shaped PersonSuccess via Integration
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What do we want to be as T-Shaped Individuals?
“T” ShapedProfessional Community
Also Trained in ….?
Psychology Data Science Crypto / Blockchain Restorative Practice _________________________________
Ethics Behavior Science Cyber Security Aging Systems ThinkingExperience Design Service Design
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October 4th
Scanning for SignalsOctober 25th
Turning Signals into Stories
November 22nd
Creating Future Worlds
December 12th
Presentations
Resources http://www.garrygolden.com/BACC2019 /
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MILLENNIALS: COMMON ASSUMPTIONS
❑ Social Safety Net
❑ Nature of Work (Gigs vs Careers)
❑ The Experience(Fintech / Insurtech)
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MILLENNIALS: UNCERTAINTIES
❑ Political Will to Address Wealth Gaps and Equity Issues
❑ Value Extraction of Personal Data
❑ Fintech vs Institutions
❑ Risk Appetite for Crypto Assets
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DEMAND FOR FINANCIAL EDUCATION
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FIRE: FINANCIAL INDEPENDENCE, RETIRE EARLY
Sylvia Hall wants to retire at age 40. The 38-year-old Seattle lawyer is on a strict budget as she tries to hit her goal of amassing $2 million in assets by 2020. That means saving about 70% of her after-tax income and setting firm spending limits in every part of her life.
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FRAGMENTED FINANCIAL WELLNESS CONTENT
Source
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HOMEOWNERS: LOANS FOR ENERGY ASSETS
Financing for:
❑ Residential Solar❑ Community Solar❑ Community Micro Grids
(Batteries; Fuel Cells)❑ Heat Pumps