MLOps is NOT Real
We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
Similar episodes from other shows
More like Practical AI →
Stop being skeptical about AI for development with Charity Majors
[Practical AI] AI Trends: a Latent Space x Practical AI crossover pod!
The 5 Most Impactful AI Model Releases of 2025
EP 51: AI-Native Software Development: Building Production Systems with Multi-Agent AI
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.