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.

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Webinars

Sam Savage Executive Director of ProbabilityManagement.org and author of The Flaw of Averages

Sam Savage
Executive Director of ProbabilityManagement.org and author of The Flaw of Averages

Monday April 13, 11:00 AM PDT

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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:

  1. Comparison to stock options: Learning what the stock does before you buy it

  2. The value of perfect and imperfect information: How dependable is the messenger?

  3. The connection with decision trees and tree flipping: going from decide/find out to find out/decide

  4. 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.

  5. The distribution of the Value of Information with SIPmath simulation.

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Professor Ronald A. Howard Department of Management Science and Engineering, Stanford University; inventor of the Value of Information and founder of the field of Decision Analysis

Professor Ronald A. Howard
Department of Management Science and Engineering, Stanford University; inventor of the Value of Information and founder of the field of Decision Analysis

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.

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Bryan Massie Chief Data Engineer/ Architect and Technical Fellow, Lockheed Martin

Bryan Massie
Chief Data Engineer/ Architect and Technical Fellow, Lockheed Martin

Tony DeMarco Data Scientist, Lockheed Martin

Tony DeMarco
Data Scientist, Lockheed Martin

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.

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William D. Reed Advisor, Optiv Security

William D. Reed
Advisor, Optiv Security

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.

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Steve Roemerman Chair and CEO, Lone Star Analysis

Steve Roemerman
Chair and CEO, Lone Star Analysis

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.

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Brian Asti Chief Engineer and Project Manager, Northrop Grumman

Brian Asti
Chief Engineer and Project Manager, Northrop Grumman

Dan Harmeyer AC4ISR Strategic Program Execution Manager, Northrop Grumman

Dan Harmeyer
AC4ISR Strategic Program Execution Manager, Northrop Grumman

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. 

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