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Let's discuss data product development with Peter Cotton from Crunch Lab! 🚀 Support our channel with your like, subscribe, and share to hear more insights about creating data products and other building digital product areas.
Peter Cotton - https://www.linkedin.com/in/petercotton/Â Â
Crunch Lab - https://www.crunch.foundation/
In this episode, Khrystyna Klimash and Peter discussed the non-trivial idea of microprediction and its applications in building data products.
Our guest is a seasoned data scientist and entrepreneur in the quantitative finance industry. Peter is the Co-Founder and Chief Scientific Officer at Crunch Labs, where he leads the development of real-time data feeds and predictive tools. For years, he's been chief and senior data scientist at investment firms where he managed multi-billion dollar portfolios. Additionally, Peter is the author of a book titled "Microprediction."
Tune in to learn how data product development is reshaping decision-making across various sectors and discover the potential of microprediction technology. Go straight to the topic you're most interested in developing data products or getting to know more about it:
Peter Cotton talked about the basics of the data product definition for experts as well as for novice entrepreneurs. Basically, it is a tool or some app that processes data in order to make a company's decision-making process better.
If you want to use all the power data products offer to businesses, then consider hearing Peter's insights and his proven strategies.
Hear Peter's take on the trends and potential future of the industry! If you really find the content useful, then share your thoughts about data product development in the comments and subscribe to "Building Digital Products."Â
Follow us on Social Media:
Facebook: https://www.facebook.com/Linkupst/
Twitter: https://twitter.com/linkupstÂ
LinkedIn: https://www.linkedin.com/company/linkup-studio/mycompany/
Instagram: https://www.instagram.com/linkupst/
Visit Us:
Website: https://linkupst.com/
Contact Us:
5
77 ratings
Let's discuss data product development with Peter Cotton from Crunch Lab! 🚀 Support our channel with your like, subscribe, and share to hear more insights about creating data products and other building digital product areas.
Peter Cotton - https://www.linkedin.com/in/petercotton/Â Â
Crunch Lab - https://www.crunch.foundation/
In this episode, Khrystyna Klimash and Peter discussed the non-trivial idea of microprediction and its applications in building data products.
Our guest is a seasoned data scientist and entrepreneur in the quantitative finance industry. Peter is the Co-Founder and Chief Scientific Officer at Crunch Labs, where he leads the development of real-time data feeds and predictive tools. For years, he's been chief and senior data scientist at investment firms where he managed multi-billion dollar portfolios. Additionally, Peter is the author of a book titled "Microprediction."
Tune in to learn how data product development is reshaping decision-making across various sectors and discover the potential of microprediction technology. Go straight to the topic you're most interested in developing data products or getting to know more about it:
Peter Cotton talked about the basics of the data product definition for experts as well as for novice entrepreneurs. Basically, it is a tool or some app that processes data in order to make a company's decision-making process better.
If you want to use all the power data products offer to businesses, then consider hearing Peter's insights and his proven strategies.
Hear Peter's take on the trends and potential future of the industry! If you really find the content useful, then share your thoughts about data product development in the comments and subscribe to "Building Digital Products."Â
Follow us on Social Media:
Facebook: https://www.facebook.com/Linkupst/
Twitter: https://twitter.com/linkupstÂ
LinkedIn: https://www.linkedin.com/company/linkup-studio/mycompany/
Instagram: https://www.instagram.com/linkupst/
Visit Us:
Website: https://linkupst.com/
Contact Us:
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