Building at the intersection of machine learning and software engineering

Thoughtworks Technology Podcast

Thoughtworks

Careers, Business, 907234, Technology

4.7 • 53 Ratings

🗓️ 2 May 2024

⏱️ 48 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

Bringing machine learning models into production is challenging. This is why, as demand for machine learning capabilities in products and services increases, new kinds of teams and new ways of working are emerging to bridge the gap between data science and software engineering. Effective Machine Learning Teams — written by Thoughtworkers David Tan, Ada Leung and Dave Colls — was created to help practitioners get to grips with these challenges and master everything needed to deliver exceptional machine learning-backed products.

In this episode of the Technology Podcast, the authors join Scott Shaw and Ken Mugrage to discuss their book. They explain how it addresses current issues in the field, taking in everything from the technical challenges of testing and deployment to the cultural work of building teams that span different disciplines and areas of expertise.

Learn more about Effective Machine Learning Teams: https://www.thoughtworks.com/insights/books/effective-machine-learning-teams

Read a Q&A with the authors: https://www.thoughtworks.com/insights/blog/machine-learning-and-ai/author-q-and-a-effective-machine-learning-teams

Transcript

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0:00.0	Welcome everybody to the ThoughtWorks Technology Podcast.
0:11.0	My name is Scott Shaw.
0:13.0	I'm one of the hosts of the podcast.
0:16.0	And today we are going to talk to some friends of mine here in Melbourne, where we all live.
0:24.7	And the topic is going to be their new book, which is called Effective Machine Learning Teams.
0:30.5	I think that's particularly relevant in today's technology landscape.
0:36.6	I'd like to have each of the participants introduce themselves and tell us a little bit about
0:41.6	themselves and the perspective they bring to the book.
0:43.8	But first of all, I want to introduce my co-host, Ken Mugrege.
0:47.9	You want to introduce yourself?
0:49.3	You want to tell us a little bit about yourself?
0:51.0	Ken?
0:52.0	Sure.
0:53.0	Hi, everybody.
0:54.0	I'm one of your other regular hosts and the only person
0:54.4	on this team that's not only not in Melbourne, but not even on the same continent. Actually, not even
0:58.8	the same day. So, welcome. We're greeting you from the future. Okay, so yeah, if you all would start,
1:05.6	why don't David Tan, why don't you go first? Cool. Thanks for having us, Scott and Ken. So I'm David Tan. Why don't you go first? Cool. Thanks for having us Scott and Ken.
1:13.5	So I'm David Tan for de-deplication purposes between David Coles and David 10. I'm David.
1:20.4	And yeah, David has, Dave has generously become Dave for our collective, yeah, reduce the confusion.
1:32.5	So, yeah, I'm a lead machine learning engineer with ThoughtWorks and I've played with
1:36.2	ThoughtWorks for seven years.
	...

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