AI in Action E16: John Collins, Engineering Manager and Shukhrat Khadjaev, Product Owner at FlixBus


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Welcome to episode 16 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 guests are John Collins, Engineering Manager and Shukhrat Khadjaev, Product Owner of Data Science Incubation at Flixbus in Berlin. FlixBus is a young mobility provider offering a sustainable and comfortable journey throughout Europe and the United States, under the vision of “Smart and Green Mobility for Everyone to Experience the World.”

Launched 2013 in Germany, FlixBus offers an expanding network of 300,000 daily connections to 2,000 destinations in 29 countries. With services like free WiFi, an innovative ticketing-system, flexible online booking, its own smartphone-app and CO2 compensation, the FlixComfort is state-of-the-art on the market. The customer profits from green and comfortable means of transport for any budget.

In the episode, John and Shukhrat will discuss:

  • What FlixBus is all about
  • Benefits of working in a data-driven environment
  • Applying AI and Machine Learning to improve the customer experience
  • The day-to-day life of a data scientist at Flixbus
  • What’s in store for FlixBus in the near future

To find out more about Flixbus, check out the website You can also follow them and connect with John and Shukhrat on Linkedin.

What did you make of John and Shukhrat’s 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.

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The post AI in Action E16: John Collins, Engineering Manager and Shukhrat Khadjaev, Product Owner at FlixBus appeared first on Alldus.

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