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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Register until the conference starts:
✓ 50% off on all prices
✓ 10% team discount
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Join the ML Revolution!
Register until November 4:
✓ 2 in 1 conference special
✓ Save up to €220
✓ 10 % Team Discount
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Join the ML Revolution!
Register until November 4:
✓ 2 in 1 conference special
✓ Save up to €220
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Infos

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 originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Session Diese Session originates from the archive of stammt aus dem Archiv von MunichMunich . Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks