Gradient Dissent: Conversations on AI

Peter Skomoroch — Product Management for AI


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👨🏻‍💻Our guest on this episode of Gradient Dissent is Peter Skomoroch!
Peter is the former head of data products at Workday and LinkedIn. Previously, he was the cofounder and CEO of venture-backed deep learning startup SkipFlag, which was acquired by Workday, and a principal data scientist at LinkedIn.
Check out his recent publication: What you need to know about product management for AI
https://www.oreilly.com/radar/what-you-need-to-know-about-product-management-for-ai/
Follow Peter on Twitter:
https://twitter.com/peteskomoroch
And read some of his other work:
Pangloss: Fast Entity Linking in Noisy Text Environments
Large-Scale Hierarchical Topic Models
Visit our podcasts homepage for transcripts and more episodes!
www.wandb.com/podcast
🔊 Get our podcast on Soundcloud, Apple, and Spotify!
YouTube: https://bit.ly/32NzZvI
Apple Podcasts: https://bit.ly/2WdrUvI
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We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it!
👩🏼‍🚀Weights and Biases:
We’re always free for academics and open source projects. Email [email protected] with any questions or feature suggestions.
- Blog: https://www.wandb.com/articles
- Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
- Continue the conversation on our slack community - http://bit.ly/wandb-forum
🎙Host: Lukas Biewald - https://twitter.com/l2k
👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
📹Editor: Cayla Sharp - http://caylasharp.com/
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