Agile Data Science with Sarah Aerni - TWiML Talk #143

episode

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

Transrapid, Flugtaxis, Hyperloop – Warum es neuartige Verkehrstechnik so schwer hat 28 min · 22 Sep 2026 · Das Wissen | SWR

In The Lab: Who Dares To Dance With Destiny 29 min · 22 Sep 2026 · Dan Does Footy

Fletch, Vaughan & Hayley's Lil Bitta Pod - 22nd September 2026 6 min · 22 Sep 2026 · ZM's Fletch, Vaughan & Hayley

By Order of the Faithfuls: Celebs? Don’t Need Them! (The Traitors: New Blood Recap) 1h 0m · 22 Sep 2026 · Two Ts In A Pod with Teddi Mellencamp and Tamra Judge

NPR News: 09-21-2026 8PM EDT 4 min · 22 Sep 2026 · NPR News Now

Alistair Nicholson in the studio! - AFL Coaches Association Senior Coach of the Year award | AFLCA CEO (22.09.26) 11 min · 22 Sep 2026 · Whateley

Report any issue

Source

Recorded24 May 2018

Publisherfeeds.megaphone.fm ↗

Handlerec:12496395

Show notes

Today we continue our TrainAI series with Sarah Aerni, Director of Data Science at Salesforce Einstein. Sarah and I sat down at the TrainAI conference to discuss her talk “Notes from the Field: The Platform, People, and Processes of Agile Data Science.” Sarah and I dig into the concept of agile data science, exploring what it means to her and how she’s seen it done at Salesforce and other places she’s worked. We also dig into the notion of machine learning platforms, which is also a keen area of interest for me. We discuss some of the common elements we’ve seen in ML platforms, and when it makes sense for an organization to start building one. The notes for this show can be found at twimlai.com/talk/143. For more details on the TrainAI series, visit twimlai.com/trainai2018

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in