AI in Action E288: Matthew Karasick, Chief Product Officer at Habu

,  | December 3 2021 | JP Valentine

Welcome to episode 288 of the AI in Action podcast, the show where we break down the hype and explore 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 Matthew Karasick, Chief Product Officer at Habu. Founded in 2018 with offices in San Francisco, Boston and New York, Habu is a Data Clean Room software company that make it seamless for businesses to generate high-value analytics from controlled datasets, while protecting the privacy of consumers and the rights of data owners. 

Habu’s software has been developed based on real-world use cases provided by top tier CPG, retail, media and other companies, and has evolved significantly to meet their most pressing needs. Their mission is to empower companies to fully utilize and understand data wherever it may live, collaborate with others and thrive in a privacy-first era.

In the episode, Matthew talks about:

How they help companies join distributed datasets

Behind-the-scenes on how it all comes together

The potential of Habu and its impact in the industry

What it’s like to be part of the data & tech team

Exciting opportunities with Habu

To find out more about Matthew and all the fascinating work at Habu, check out the website www.habu.com or follow them on Linkedin and Twitter @HabuHub. You can also connect with Matthew on Linkedin

What did you think of Matthew’s podcast? Where do you see the future of AI and Data Science in the industry 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 The Alldus Podcast 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 288 of the AI in Action podcast, the show where we break down the hype and explore 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 Matthew Karasick, Chief Product Officer at Habu. Founded in 2018 with offices in San Francisco, Boston and New York, Habu is a Data Clean Room software company that make it seamless for businesses to generate high-value analytics from controlled datasets, while protecting the privacy of consumers and the rights of data owners. 

Habu’s software has been developed based on real-world use cases provided by top tier CPG, retail, media and other companies, and has evolved significantly to meet their most pressing needs. Their mission is to empower companies to fully utilize and understand data wherever it may live, collaborate with others and thrive in a privacy-first era.

In the episode, Matthew talks about:

How they help companies join distributed datasets

Behind-the-scenes on how it all comes together

The potential of Habu and its impact in the industry

What it’s like to be part of the data & tech team

Exciting opportunities with Habu

To find out more about Matthew and all the fascinating work at Habu, check out the website www.habu.com or follow them on Linkedin and Twitter @HabuHub. You can also connect with Matthew on Linkedin

What did you think of Matthew’s podcast? Where do you see the future of AI and Data Science in the industry 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 The Alldus Podcast 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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