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38. Building trusted ML products with Karin Schöfegger (Ex-Google & N26)
Manage episode 358215939 series 2895967
Content provided by Alexandra Ebert (MOSTLY AI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Ebert (MOSTLY AI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Karin Schöfegger is a seasoned ML product manager who knows how to create successful AI/ML products and mitigate the risks involved. In this episode, she shares her insights about challenges in building AI products. Tune in to learn about:
- How to align the business side and the data science side of product development
- What's the difference between traditional software development and machine learning development
- How to bring customer understanding into data science and engineering
- What are the most common traps in data science
- Why it's essential to work with realistic data instead of picture-perfect datasets
- How to get buy-in from stakeholders for ethical AI
52 episodes
38. Building trusted ML products with Karin Schöfegger (Ex-Google & N26)
Data Democratization Podcast: Stories about AI, Data, and Privacy
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Manage episode 358215939 series 2895967
Content provided by Alexandra Ebert (MOSTLY AI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Ebert (MOSTLY AI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Karin Schöfegger is a seasoned ML product manager who knows how to create successful AI/ML products and mitigate the risks involved. In this episode, she shares her insights about challenges in building AI products. Tune in to learn about:
- How to align the business side and the data science side of product development
- What's the difference between traditional software development and machine learning development
- How to bring customer understanding into data science and engineering
- What are the most common traps in data science
- Why it's essential to work with realistic data instead of picture-perfect datasets
- How to get buy-in from stakeholders for ethical AI
52 episodes
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Similar to Data Democratization Podcast: Stories about AI, Data, and Privacy
The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
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The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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continue reading
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continue reading
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continue reading
Big tech is transforming every aspect of our world. But how, and at what cost? This season of Land of the Giants – The Disney Dilemma – focuses on Disney’s ability to weather the ups and downs of the business cycle and changing tastes and explores what has kept it successful for over 100 years. The entertainment giant has leveraged nostalgia and its intellectual property to build a beloved brand, but after an acquisition spree that included Marvel, Lucasfilm, and 20th Century Fox, can it sus ...
…
continue reading
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continue reading
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