The Conference for Machine Learning Innovation

Data to the Rescue! Predicting and Preventing Accidents at Sea

Keynote
Join the ML Revolution!
Register until February 27:
✓Save up to $220
✓10% team discount
Register Now
Join the ML Revolution!
Register until February 27:
✓Save up to $220
✓10% team discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
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, December 10 2019
13:30 - 14:00
Room:
Saal A+B

Accidents at sea happen all the time. Their costs – in terms of lives, money and environmental destruction – are huge. Wouldn’t it be great if they could be predicted and perhaps prevented?

With more than 350 years of history, the marine insurance industry is the first data science profession to try to predict accidents and estimate future risk. Yet the old ways no longer work, new waves of data and algorithms can offer significant improvements and are going to revolutionise the industry.

In my talk, I will show that it is now possible to predict accidents, and how data on a ship’s behaviour such as location, speed, maps and weather can help. I will show how fragments of information on ship movements can be gathered and taken all the way to machine learning models. I will discuss the challenges, including introducing machine learning to an industry that still uses paper and quills (yes, really!) and explaining the models using SHAP.

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

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

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

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

Behind the Tracks