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The Future of ML and AI Infrastructure and Ethics with Dan Jeffries (Pachyderm, AI Infrastructure Alliance)

Podcast |: Machine Learning Engineered
Publisher |: Charlie You
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Careers,; Data Science,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Business,; Careers,; Science,; Technology
Publication Date |: Mar 16, 2021
Episode Duration |: 01:36:50

Description
iTunes Summary

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:

Pachyderm

infrastructure.org/">AI Infrastructure Alliance

ai-ethics.org/">Practical AI Ethics Alliance

Rise of the Canonical Stack in Machine Learning

Rise of AI - The Age of AI in 2030

Google Magenta

AlphaGo Documentary

Thinking in Bets

A History of the World in 6 Glasses

Super-Thinking

Dan discusses why he's so excited about the future of machine learning, where it is on the technology adoption curve, the rise of a "canonical stack" of AI infrastructure, and practically approaching the hard problems in AI ethics.