Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0" | Machine Learning Engineered Podcast | Charlie You

Luigi discusses best practices for putting ML into production, how to make sure your data science efforts are actually adding business value, and what the future of building software might be ("Code 2.0").

Guest Bio

Luigi is the director of data science at 2U, where he leads a team in developing ML models and infrastructure to predict student success outcomes. He's also the founder of ML in Production, a blog and newsletter that helps readers build, deploy, and run ML systems.

Check out Luigi's blog and newsletter: https://mlinproduction.com/

Follow Luigi on Twitter: https://twitter.com/mlinproduction

Links Mentioned

Luigi's interview on Datacast

Ultimate Guide to Deploying ML Models

Maximizing Business Impact with Machine Learning

Two Types of Companies Using ML

The AI Hierarchy of Needs

Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production

Machine Learning is Forcing Software Development to Evolve

ML Street Talk #29: GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

Building Machine Learning Powered Applications

How to Change Your Mind

Show Notes

02:45 Luigi Patruno

04:50 How can ML teams be more rigorous in their engineering practices?

10:25 Best practices for monitoring and logging ML systems

18:00 Adding business value with data science

37:10 Most valuable types of tools for ML in production

43:15 What an ideal data pipeline setup looks like

47:50 Unbundling the "Data Scientist" role

50:35 The future of building software: "Code 2.0"

59:45 Most valuable skills for the future

01:10:15 Learnings from writing his blog "ML in Production"

01:15:00 Rapid fire questions