AI in Action E14: Rasmus Rothe, founder of Merantix

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Welcome to episode 14 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and in Europe.

Today’s guest on the AI in Action podcast is Rasmus Rothe, founder of Merantix based in Berlin. Merantix conceptualize, build, and scale AI and machine learning companies through their unique incubation environment which is built on trust in their brand, technological synergies across use cases and relentless product focus.

Their venture target domains that today depend heavily on human decision making to address complex problems. This includes a system to automate breast cancer screening, a testing platform for self-driving cars as well as an engine for automated trading.

In the episode, Rasmus will share with you:

  • How Merantix help companies add real value using AI
  • Common challenges they need to overcome
  • The importance of AI Ethics
  • Helping improve the AI environment in Germany
  • Upcoming projects at Merantix in 2019
  • Where he sees AI heading in the near future

https://alldus.com/wp-content/uploads/2019/02/rasmusmetranix.mp3

To find out more about Rasmus and the work at Merantix, please head over to their website www.merantix.com or you can connect with him on Linkedin and Twitter @rasmusrothe.

What did you make of Rasmus’ podcast? Where do you see the future of Artificial Intelligence heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

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The post AI in Action E14: Rasmus Rothe, founder of Merantix appeared first on Alldus.

29 episodes available. A new episode about every 6 days averaging 19 mins duration .