In Case of Emergency podcast

#37 AI-based Warning Systems

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- Trends in Resilience

Jackie Ma is an accomplished mathematician and researcher specializing in applied machine learning. He obtained his MSc and Dr. rer. nat. degrees from the Technical University of Berlin. During his academic journey, he held visiting researcher positions at ETH Zurich, the University of Cambridge, and the University of Hong Kong. In 2017, he joined the Fraunhofer Institute for Telecommunications-Heinrich Hertz Institute, where he currently serves as the head of the Applied Machine Learning Group.

Currently, he is heading a project on Artificial Intelligence, commissioned by the German Federal Ministry for Economic Affairs and Climate Action. His team also leads several government funded projects which explore the possibilities of Artificial intelligence in the domains of natural disaster management, healthcare and climate affairs and more."

02:32 You have been working on a project that is funded by the German Ministry for Economics and Climate Affairs where you are building an early warning system to support the German economy. Can you please tell us about the role of AI in this project – how AI can help?

04:54 How does this model cater to specific industries or industry specific needs?

06:59 What do think are the opportunities and challenges of an AI based warning system?

09:20 So it looks like AI is going to have a significant role in the Resilience industry – could you please tell us a bit about the current trends and what we can expect in the near future?

11:20 What have you learned by working in your profession that you may have adopted as a standard working practice either in your personal life or perhaps your professional life?

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