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The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)
Manage episode 287514609 series 2849409
Dan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is the founder of the AI Infrastructure Alliance and Practical AI Ethics.
Learn more about Dan:
https://twitter.com/Dan_Jeffries1
https://medium.com/@dan.jeffries
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
02:15 How Dan got started in computer science
06:50 What Dan is most excited about in AI
14:45 Where we are in the adoption curve of ML
20:40 The "Canonical Stack" of ML
32:00 Dan's goal for the AI Infrastructure Alliance
40:55 "Problems that ML startups don't know they're going to have"
49:00 Closed vs open source tools in the Canonical Stack
01:00:05 Building out the "boring" part of the infrastructure to enable exciting applications
01:08:40 Dan's practical approach to AI Ethics
01:23:50 Rapid fire questions
Links:
Rise of the Canonical Stack in Machine Learning
Rise of AI - The Age of AI in 2030
32集单集
Manage episode 287514609 series 2849409
Dan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is the founder of the AI Infrastructure Alliance and Practical AI Ethics.
Learn more about Dan:
https://twitter.com/Dan_Jeffries1
https://medium.com/@dan.jeffries
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
02:15 How Dan got started in computer science
06:50 What Dan is most excited about in AI
14:45 Where we are in the adoption curve of ML
20:40 The "Canonical Stack" of ML
32:00 Dan's goal for the AI Infrastructure Alliance
40:55 "Problems that ML startups don't know they're going to have"
49:00 Closed vs open source tools in the Canonical Stack
01:00:05 Building out the "boring" part of the infrastructure to enable exciting applications
01:08:40 Dan's practical approach to AI Ethics
01:23:50 Rapid fire questions
Links:
Rise of the Canonical Stack in Machine Learning
Rise of AI - The Age of AI in 2030
32集单集
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