From NASA to Hollywood - Using Predictive Analytics and Machine Learning

Explore how predictive analytics and machine learning techniques used in NASA spaceflight risk assessment can be applied to Hollywood movie production in this 30-minute conference talk. Discover the similarities between these seemingly disparate fields as former NASA rocket scientist Dev Sen shares his experience developing complex predictive models for both industries. Delve into the application of parametric and non-parametric machine learning in high-risk, low-instance systems, and learn about innovative AI-powered risk assessment methods. Gain insights into critical decision-making processes, risk management, and uncertainty analysis across space exploration and film production. Examine topics such as decluttering the decision space, Monte Carlo analysis, and confidence levels in machine learning models. Understand how these advanced techniques can support critical decisions and reduce risk in both scientific and entertainment domains.

Introduction
Why a machine learning conference
Agenda
What are critical decisions
What are noncritical decisions
Critical decisions
Risk
Uncertainty
NASA
The Problem
The Solution
Decluttering the Decision Space
Space Launch System
Moneyball
Monte Carlo Analysis
Cinelytic
Talent
Machine Learning
Confidence Levels
Conclusions