The future of machine learning tools with Diana Pfeil

06/18/20 • 23 min

Diana Pfeil is a startup CTO with 15+ years of experience with machine learning and optimization, including a PhD from MIT.
She's seen machine learning developer tools grow from non-existent to a complete Python ecosystem, pre-trained networks, and numerous out-of-the-box paid solutions. That said, her position is to stick with open-source cloud provide tools– hear why!
Diana and I also discuss equality and fairness in machine learning, and how it can be used for good vs. evil in society. We can use machine learning eliminate bias in society, but we have to be intentional. She's a fan of the tool Shap to check your outcomes.
We close out with discussing the future of DevTools for machine learning and whether or not I should be scared of Skynet running the world.

Previous Episode

The future of logging and error resolution with Jim Mullady

Jim Mullady is a Sales Engineer at Coralogix, where they build machine-learning-powered logging integrated with your CI/CD pipelines.
He's seen logging and monitoring evolve throughout his career. Jim says as an industry, we're moving from looking at logging only after an incident to looking at logs and squashing bugs ahead of the incident.
Machine learning is a major part of this shift in both detecting an upcoming issue from anomalies and detecting what's a real issue vs. noise.

Next Episode

Empowering local development with Roopak Venkatakrishnan

Roopak Venkatakrishnan is a Staff Software Engineer at Bolt (Previously Google, Twitter, atSpoke) and a DevTools aficionado. He is building Swissknife on the side, making "big company tooling" available to all.
Join us for a conversation about why local development is so important, why ~80% ability to test locally is the right ratio, and the startups trying to give you a plug-and-play local development environment (Porter and Blimp).

We then discuss what is coming next for DevTools, especially platformizing local developer setup so it’s even more simple to get started.
Tweet us your thoughts at @DevToolsTopia or at @roopakv!