AI in Action E06 Matt Dancho, Founder and CEO of Business Science

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Welcome to episode 6 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 the premium AI Workforce Solutions, 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 across the world.

Today’s guest on the show is Matt Dancho, who is the founder and CEO of Business Science. Matt is a software developer and executive management professional with a background in engineering, sales and data science. He has successfully implemented cutting-edge data science techniques in a variety of finance and marketing areas.

Matt started Business Science by developing machine learning-for-business tutorials and also developed Data Science For Business with R, a world-class enterprise-grade online course that teaches data scientists how to apply machine learning to yield your ROI. He has since expanded into custom machine learning workshops for enterprises and continues to develop courses, educational materials and custom ML workshops for enterprises.

In this episode, Matt will tell you about:

  • How he became involved in Data Science
  • What he learned in setting up Business Science
  • Overcoming early challenges
  • Exciting courses with Business Science University
  • Using Data Science to improve your ROI

https://alldus.com/wp-content/uploads/2018/10/MattDancho-BusinessScience1.mp3

If you would like to find out more about Matt and his work, you can check out www.business-science.io or you can connect with him on Linkedin and Twitter @mdancho84

What did you make of Matt’s podcast? Where do you see the future of Artificial Intelligence heading in the next few years?

We would love to hear your thoughts 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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30 episodes available. A new episode about every 7 days averaging 19 mins duration .