Value of Information Webinars
In honor of Stanford's Professor Ronald A. Howard, inventor of the Value of Information
We are pleased to offer a series of webinars on the Value of Information, including a conversation with Professor Ron Howard. Webinars are $50 each.
The Value of Information and the Free XLTree™ Software (Sam Savage): Monday April 13, 11:00 AM PDT (Note: this webinar is offered free of charge)
A Conversation with Ron Howard (Ron Howard, Sam Savage, Tom Keelin, & Doug Hubbard): Tuesday April 21, 10:00 AM - 11:30 AM PDT
Transitioning to the Digital Factory at Lockheed Martin Aeronautics (Bryan Massie & Tony DeMarco): Thursday April 30, 10:00 AM PDT
How Much is Someone Else’s Help Worth? Exploring Why the Value of Information Can Be a CIO’s Best Friend When Making Big Decisions (William D. Reed): Wednesday, May 13, 9:00 AM PDT
Information Economics and Stochastic Digital Twins (Steve Roemerman): Wednesday May 27, 10:00 AM PDT
Using Value of Information to Decompose Systemic System Integration Schedule Risks (Brian Asti & Dan Harmeyer): Thursday June 4, 10:00 AM PDT
Monday April 13, 11:00 AM PDT
We have reached our registration limit
for this webinar.
The Value of Information and the Free XLTree™ Software
This free introductory webinar will cover the basic principles of the value of information (VOI) and introduce the free XLTree software to perform VOI calculations. For more on the value of information and XLTree, see Dr. Savage’s blog post.
Topics:
Comparison to stock options: Learning what the stock does before you buy it
The value of perfect and imperfect information: How dependable is the messenger?
The connection with decision trees and tree flipping: going from decide/find out to find out/decide
The free XLTree software: Developed for Dr. Savage’s acclaimed Decision Making with Insight textbook, XLTree has been upgraded for the latest version of Excel. Like SIPmath, the models are created to run in native Excel.
The distribution of the Value of Information with SIPmath simulation.
Tuesday April 21, 10:00 AM - 11:30 AM PDT
A Conversation With Ron Howard
It all started with a seminal 1966 article entitled “Information Value Theory.” Join us for a 90-minute conversation with Professor Ronald A. Howard of Stanford University, the inventor of the Value of Information and founder of the field of Decision Analysis, as he talks about his long and distinguished career in Decision Analysis.
Professor Howard will be joined by Dr. Sam Savage, Executive Director of ProbabilityManagement.org and author of The Flaw of Averages; Doug Hubbard, founder of Hubbard Decision Research, Chair of Decisions and Measurements at ProbabilityManagement.org, and author of multiple books about measurement, risk, and decision making; and Tom Keelin, principal of Keelin Reeds Partners, inventor of the Metalog distribution, and Chief Research Scientist at ProbabilityManagement.org.
Thursday April 30, 10:00 AM PDT
Transitioning to the Digital Factory at Lockheed Martin Aeronautics
The industrial internet of things (IIoT) is transforming the manufacturing landscape. Lockheed Martin Aeronautics is harnessing this revolution by connecting machine assets to sensors to capture, store, and analyze critical operational detail on the F-35 production line that will enable edge analytics, condition-based maintenance, and predictive modeling. Learn how Lockheed Martin Aeronautics is securely capturing machine data and streaming this information into a data lake. We'll also take a deep-dive into an LSTM (Long Short-Term Memory) recursive neural network model that we’ve implemented for automated anomaly detection in the time-series data.
Wednesday, May 13, 9:00 AM PDT
How Much is Someone Else’s Help Worth? Exploring Why the Value of Information Can Be a CIO’s Best Friend When Making Big Decisions
When should a Chief Information Officer (CIO) reach out and bring in an outside consultant for help? Should he/she be willing to pay that consultant $100k for an assessment? How about $250k? Is it worth that much? Is there a way to determine that? Yes, there is a way; by using the Value of Information, a fundamental element of decision analysis. When uncertainty is high in a business decision, and the internal resources can't reduce that uncertainty themselves, an assessment from outside experts can help reduce that uncertainty to improve the odds of making the right decision. In this talk, I will walk the audience through a common decision that CIOs face and how the VOI can be used in a decision model to improve the potential outcomes.
Wednesday May 27, 10:00 AM PDT
Information Economics and Stochastic Digital Twins
Many digital twin applications require information economics. This can be caused by data transport costs, and often is caused by the costs of sensors and sensor installations. This presentation discusses different types of Digital Twins. It uses for an illustration the problem of improving the availability of the F-18 aircraft, lowering the cost of sustainment, and improving aircraft safety by use of stochastic digital twins predicting the remaining useful life of dangerous energetic components (e.g., ejection seat rockets). Adding sensors, cables and processing to critical safety items (e.g., ejection seats) is time consuming and expensive. A key aspect of this successful digital twin project was to aggressively apply the principles of information economics. A second aspect of the project was to embrace the uncertainty imposed by data parsimony, and employ stochastic methods in the twin design.
Thursday June 4, 10:00 AM PDT
Using Value of Information to Decompose Systemic System Integration Schedule Risks
Successful systems integration depends upon a tightly choreographed sequence of operations performing their roles correctly. Design, Procure, Build, Test, and Deliver stages must all be completed to schedule. There are multiple, linked, hierarchical dependencies, and any delays can propagate through the downstream stages. Conventional wisdom within the organization held that certain functions were more likely to cause delays than others. Using the concept of a Stochastic Information Packet (SIP) to incorporate uncertainty, our Division team built a simulator for an entire product line moving through integration. We further applied the Value of Information to understand where we needed to reduce uncertainty. Accordingly, we identified new ways to measure performance within stages that thus far had escaped scrutiny because they were difficult to measure. These tools enabled us to identify the biggest opportunities for improving performance. Needless to say, our biggest opportunities exist in places different from what conventional wisdom held. We’re now working with stakeholders to address those performance gaps.