This keynote explores the future of risk analysis by revisiting the history of forecasting, mankind's eternal desire for quality datasets, and the strategic trends that will help us deal with risk in an increasingly connected, complex world. Learn more at https://www.competitivefutures.com and https://www.ericgarland.co
2. ERIC GARLAND
• My job: Managing Director, Competitive Futures
• My background: Competitive intelligence, Futures studies
• My clients: IBM, Coca-Cola, France, Monaco, US Gov’t
• My curiosity: Combining visionary foresight with management
• My weakness: Expensive bass guitars
• My goal: Continued growth in sophistication of analysis
3. FUTURE TRENDS:
More data collected
Software *asks* questions;AI
improves models
Considerably more complexity
TL;DR
IMPLICATIONS:
More sophisticated models
Privacy concerns over data
New wave of model failure
Merge qualitative and
quantitative to describe risk
4. PEOPLE INTERESTED IN
RISK ANALYSIS
• CEOs
• Financial forecasters
• Product managers
• Supply chain engineers
• Geopolitical risk analysts
• Subject matter experts
• Futurists
• Moms
• People getting a puppy
• Kids picking a college major
• Anyone who has babies
• Anyone who wants to retire
9. “What sir? You would make a ship that
sails against the winds and tides?
I have no time for such nonsense.”
- Napoleon Bonaparte to Robert Fulton, 1803
10. “It has too many shortcomings to be seriously considered
as a means of communications.
The device is inherently of no use to us.”
- Western Union, internal memo, 1876
24. Data-Model Risk Matrix
Lots of Data
Insufficient Data
Strong
Model
Weak
Model
Need More
Resources!
Unknown
Unknowns
Best Practices
Big Data,
(WhateverThat
Means)
33. Qualitative methodologies of futurists,
strategists, scenario planners will enrich models
and improve accuracy
AI will improve models, even help *ask* the
right questions
Ability to monitor workers to avoid casualties
will improve so much…it’ll be scary (call your
general counsels)
IMPLICATIONS