Nicholas Beaudoin

speaker

229 appearances 2 recordings 1 series first heard Jun 2026 last heard 4 Aug

Nicholas Beaudoin’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 2 in all, peaking in Aug 2026 with 1.

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Making AI Possible · Building with Agents and Owning the Output: Coding Agents, Product Ownership, and the Modern AI/ML Engineering Workflow · 14 Jun 2026 podcast

If you do want that, you can shoot us an email.

Jen, if you can include the email to CTME, we can definitely give that to you.

So I want to transition from the world of Dr. France's workflow over to the world of Dr. Trump's workflow.

And John, you and I have talked a lot in the past via the different times you've come to campus and taught companies best practices for ML and AI development on what production means and what good production systems look like.

I'd love to give you the floor to kind of talk about what you're seeing in the industry and how you implement agentic based coding for those production systems.

Thanks for not letting me go for five minutes on mute.

The main thing I want to hear is really what does good production look like?

And this can be ML, AI, even data science solutions for advanced analytics.

And I do feel that with all of the buzz that's been given away to Gen AI, you know, specifically, like, I was working on an MLOps team on November 30th, 2022.

when everything changed you know budgets for ml engineering teams change our data science budgets went out the window and all of a sudden everyone's supposed to be gen a experts um are there any elements of and mike this is a question for you too any elements of this traditional ml ops system that we were all part of before gen ai does any of that live on within agentic systems llm based systems are you seeing any consistencies there

Yeah.

Thanks for teeing that up, John, because that's the next question for both of you is how do you deal with increasing costs within respective organizations, especially when you have users say, you know, I use cloud code on my personal account.

you know, maybe this developer pays $100 a month for the 5x capability, and then they go into an enterprise setting, and there's no limits.

And all of a sudden, API costs at the end of the month are, you know, you're in the thousands versus your $100 a month subscription.

What do you do in that instance?

How do you manage that in your respective organizations?

Do you think that we're going to start seeing demands like we saw for ownership of data?

So, you know, there's laws today that

you know, specify what data a customer should be able to keep.

And Mike, I'm not an expert in the medical field, but I'm sure, you know, there's legislation and laws in effect that in terms of both privacy and data that belongs to you.

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