AI in Action E29: Rouzbeh Gerami, Director of Data Science at Xaxis


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Welcome to episode 29 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 is Rouzbeh Gerami, Director of Data Science at Xaxis in New York City. Leading the Data Science team at Xaxis, Rouzbeh works on the development of ML-based solutions for real-time bidding with a focus on translating current industry and academic-based AI research into practical solutions, with special attention to deep reinforcement learning.

Xaxis are pioneering what it means for the advertising industry to offer simplicity and accountability to clients. They combine unique brand-safe media access, unrivalled programmatic expertise and 360-degree data with proprietary Artificial Intelligence to help global brands achieve the outcomes they value from their digital media investment.

In the episode, Rouzbeh will talk about:

  • His journey to joining Xaxis
  • Using Data Science at Xaxis within the advertising sector
  • Applying reinforcement learning to real-world problems
  • Challenges the Data Science need to overcome
  • Top skills you need for a career in Data Science
  • Leading the innovation-driven culture at Xaxis

To find out more about Rouzbeh and his work at Xaxis, check out the website You can also connect with him on Linkedin and Twitter @rouzbehg.

What did you make of Rouzbeh’s podcast? Where do you see the future of Artificial Intelligence and Data Science 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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32 episodes available. A new episode about every 7 days averaging 19 mins duration .