The Conference for Machine Learning Innovation

From NASA to Hollywood – using predictive analytics and machine learning to support critical decisions and reduce risk

Keynote
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See you in 20201!
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Register until December 12:
✓ML Intro Day for free
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✓Save up to $580
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Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Infos
Tuesday, November 17 2020
09:15 - 09:45

While there doesn’t immediately appear to be any similarity between assessing the risk of failure of NASA spaceflight systems and the risk of failure of Hollywood movies, they turn out to be quite analogous: they both involve massive budgets, generate a lot of public interest, and occasionally have spectacular failures.

 

In this talk, former NASA rocket scientist, Dev Sen, will explain how he took his experience developing complex predictive models and risk assessment methods at NASA to create an innovative AI-powered risk assessment system for the movie industry. The talk will cover the application of parametric and non-parametric machine learning in these two domains, and discuss the inherent challenges of modeling high-risk, low-instance, systems. 

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

Behind the Tracks