AI in Action E85: David Kuntz, Head of Data Science at Degreed

,  | April 28 2020 | JP Valentine

Welcome to episode 85 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 Europe.

Today’s guest is David Kuntz, Head of Data Science at Degreed in New York. Degreed is the upskilling platform that connects learning to opportunities. They integrate everything people use to learn and build their careers, such as courses, articles, projects etc. and match everyone to growth opportunities that fit their unique skills, roles and goals.

David is a global leader in the field of AI-driven adaptive learning/personalized learning within Higher Education and the digital learning industry. He currently leads the Data Science function at Degreed, where they are leveraging extensive learner and skill data to help millions of people build the skills they need to build their future. 

In the show, David will tell you about:

What is Degreed’s learning experience platform 

The challenges they are solving with data science 

Introducing Machine Learning to personalise offerings 

Building an effective data science team 

The biggest learns in his career 

How to be a successful data scientist 

To find out more about David and his work at Degreed, check out the website www.degreed.com. You can also follow them on Twitter @degreed or connect with David on Linkedin.

What did you make of David’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.

Subscribe to The Alldus Podcast:

Welcome to episode 85 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 Europe.

Today’s guest is David Kuntz, Head of Data Science at Degreed in New York. Degreed is the upskilling platform that connects learning to opportunities. They integrate everything people use to learn and build their careers, such as courses, articles, projects etc. and match everyone to growth opportunities that fit their unique skills, roles and goals.

David is a global leader in the field of AI-driven adaptive learning/personalized learning within Higher Education and the digital learning industry. He currently leads the Data Science function at Degreed, where they are leveraging extensive learner and skill data to help millions of people build the skills they need to build their future. 

In the show, David will tell you about:

What is Degreed’s learning experience platform 

The challenges they are solving with data science 

Introducing Machine Learning to personalise offerings 

Building an effective data science team 

The biggest learns in his career 

How to be a successful data scientist 

To find out more about David and his work at Degreed, check out the website www.degreed.com. You can also follow them on Twitter @degreed or connect with David on Linkedin.

What did you make of David’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.

Subscribe to The Alldus Podcast:

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