Webinars
Webinar Series: Welcome to The Chance Age
Three live presentations that explore AI, the Chance Economy, and the Flaw of Averages in increasing technical detail
with Dr. Sam Savage
We live in a world of uncertainty, yet we continue to manage it with averages. This webinar series introduces the Chance Age — a new way of thinking in which uncertainty itself is stored as data in the Open SIPmath™ Data Standard.
Using coherent stochastic data, chances are no longer guessed or summarized; they are computed, combined, and audited. First proven by financial engineers in the late 1980s, advances in computing, data standards, and AI have now carried these methods from Wall Street to Main Street, enabling uncertainty to be leveraged rather than ignored.
Across three installments, the series moves from Ideas to Implementation to Infrastructure, showing how Coherent Stochastic Data form the foundation of the Chance Economy.
No statistics is assumed. However, for those with extensive training in the field, these webinars will repair the damage.
Custom webinars can be arranged for your organization.
Inquire for details: info@probabilitymanagement.org
Give Chance a Chance
Foundational Ideas of The Chance Age
The Language of Chance: AI’s Native Tongue
Implementation for the Chance Economy
The Probability Power Grid
Infrastructure for the Chance Economy
Application Areas Include:
Risk Management
Project Management
Healthcare
Energy
Finance
Military Readiness
Anywhere Uncertainty Abounds
Dr. Savage’s exclusive live webinars show how to express uncertainty as auditable data, then harness this data to transform uncertainty from an obstacle into a strategic advantage. These interactive workshops provide you with hands-on experience with interactive Excel models, but the cross-platform standards are equally at home in Python, R, JavaScript or your favorite environment.
Don't leave your future to CHANCE - Shape it with us!
Dr. Sam L. Savage is Executive Director of 501(c)(3) nonprofit ProbabilityManagement.org, Adjunct Professor of Civil and Environmental Engineering at Stanford University and author of The Flaw of Averages – Why we Underestimate Risk in the Face of Uncertainty and Chancification – Fixing the Flaw of Averages. He is inventor of the SIP, a standardized data structure for conveying uncertainty.
