Category: EMLT
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Leading data and AI teams
I gave my 2026 YOW! Tech Leaders Summit talk the alternative title lossy compression, as it squeezes 28 years in tech into 25 minutes. Many individual slides are are pointers to multiple blog posts or book chapters in their own right! This post includes references, by section from the source slides. Applications over three decades…
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Hard problems in highly agentic coding
Highly agentic coding with LLMs has great promise: automatically generating software to solve a wide range of problems. But it comes with its own hard problems to solve. With my experience in product design search and optimisation, software development, robotics and manufacturing, it’s an area I’m very interested in understanding better. What I share here…
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Why are teams twelve times faster?
In my writing about team effectiveness something like the following quote might appear: How bad is backlog coupling? At an Australian telecommunications company, my colleagues did a study of hundreds of pieces of work or tasks passing through a delivery centre. Some tasks could be completed by a single team without dependency, specifically without scheduling…
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Effective ML Teams in Korean
We received our copies of the Korean translation of Effective Machine Learning Teams this week!
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Team Topologies x EMLT
To provide more resources around the excellent conversation we had with Matthew Skelton on the Stream of Teams podcast in late 2024, we collaborated on an article summarising our chat, which was based on the final chapter of Effective Machine Learning Teams (EMLT). The article titled Team Topologies in action: Effective structures for Machine Learning…
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AI conversations for every role
We always envisaged Effective Machine Learning Teams (EMLT) speaking to multiple roles. Recently we’ve spoken to 4 distinct audiences about ML development, and you can listen in too. Whether you identify with: there’s a podcast* for you with popular presenters – see more below. Product We joined a Product Tank Melbourne event, along with Ana…
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Tech Lead Journal
The lastest in our series of podcasts on Effective Machine Learning Teams is now live on the excellent Tech Lead Journal by Henry Suryawirawan. Check out the episode titled Building Effective and Thriving ML Teams. It’s been fantastic to talk with many great names in technology recently about EMLT, and I think the variety of…
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Joe Reis show
I had a great chat with Joe Reis on The Joe Reis Show, along with one co-author of Effective Machine Learning Teams, David Tan. We covered the motivation for the book, scenarios where we’d helped teams address issues to become more effective, and the tools we’d developed from those solutions. We also talked about a…
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Stream of Teams
It was great to chat with Matthew Skelton about the intersection of Team Topologies and AI/ML product delivery – watch the recording. This was the subject of the final chapter of Effective Machine Learning Teams, in which we used the Team Topologies model to explore effectiveness at the level of “between teams”. We covered a…
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Effective topologies for Data and ML teams
I presented this talk at the Melbourne Data Engineering meetup, on a wild and wet Friday night. Having your cake and eating it too – Effective topologies for Data and ML teams (slides) In the talk I explore how Team Topologies provides patterns for reconciling fast flow of value with (multiple) specialisations in data and…