ML Platform Podcast
neptune.ai
Get behind-the-scenes insights into the world of internal ML platforms and MLOps stack components with Piotr Niedźwiedź and Aurimas Griciūnas in their show, where together with ML platform professionals, they discuss design choices, best practices, and real-world solutions to MLOps challenges.
Brought to you by neptune.ai.
Brought to you by neptune.ai.
Episodes
Mentioned books
Jan 4, 2023 • 52min
Setting Up MLOps at a Healthcare Startup with Vishnu Rachakonda
Subscribe to our YouTube channel to watch this episode!Learn more about Vishnu Rachakonda:Vishnu's LinkedInEpisode Resources:Vishnu's Publicationfirsthand's WebsiteIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
Dec 21, 2022 • 49min
Intersecting DevOps With the ML Lifecycle with Shirsha Ray Chaudhuri
Subscribe to our YouTube channel to watch this episode!Learn more about Shirsha Ray Chaudhuri:Shirsha's LinkedInEpisode Resources:Shirsha's PublicationTR Labs' WebsiteIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
Dec 7, 2022 • 50min
Writing Clean, Production-Level ML Code with Laszlo Sragner
Subscribe to our YouTube channel to watch this episode!Learn more about Laszlo Sragner:Laszlo's LinkedInLaszlo's TwitterEpisode Resources:Laszlo’s NewsletterHypergolic's WebsiteRefactoring the TitanicIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
11 snips
Nov 23, 2022 • 1h 3min
Differences Between Shipping Classic Software and Operating ML Models with a Lead MLOps Engineer at TMNL Simon Stiebellehner, and neptune.ai CEO Piotr Niedzwiedz
Subscribe to our YouTube channel to watch this episode!Learn more about Simon Stiebellehner:Simon’s LinkedInPiotr's LinkedInEpisode Resources:TMNL's Websiteneptune.ai's WebsiteIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
Nov 9, 2022 • 54min
Building Well-Architected Machine Learning Solutions on AWS with Phil Basford
Subscribe to our YouTube channel to watch this episode!Learn more about Phil Basford: Phil’s LinkedInPhil’s Twitter Episode Resources :Inawisdom's WebsiteIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
Oct 26, 2022 • 55min
Solving the Model Serving Component of the MLOps Stack with Chaoyu Yang
Subscribe to our YouTube channel to watch this episode!Learn more about Chaoyu Yang:Chaoyu’s LinkedInChaoyu’s TwitterEpisode Resources:BentoML’s WebsiteBentoML’s GithubIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
Oct 12, 2022 • 54min
How early-stage startups and small teams tackle MLOps with Duarte Carmo
Subscribe to our YouTube channel to watch this episode!Learn more about Duarte Carmo:Duarte’s LinkedInDuarte’s TwitterEpisode Resources:Duarte’s WebsiteAmplemarket WebsiteIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
Sep 28, 2022 • 54min
AutoML and MLOps with Adam Becker
Subscribe to our YouTube channel to watch this episode!Learn more about Amber Roberts:Adam’s LinkedInAdam’s TwitterEpisode Resources:Adam’s MediumTelepath.io WebsiteIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
4 snips
Sep 14, 2022 • 51min
Embracing Responsible AI for ML Models in Production with Amber Roberts
Amber Roberts, an AI expert, discusses responsible AI, including the importance of fairness, transparency, and accountability. She explores post-deployment monitoring, model explainability, and governance in ML models. The podcast also covers combating bias, choosing fairness metrics, and upcoming episodes on Auto ML and MLOps.
6 snips
Aug 31, 2022 • 53min
Building an MLOps Culture in Your Team with Adam Sroka
Subscribe to our YouTube channel to watch this episode!Learn more about Adam:Adam’s LinkedInAdam’s TwitterEpisode Resources:Origami’s LinkedInOrigami’s WebsiteIf you enjoyed this episode then please either:Subscribe, rate, and review on Apple PodcastsFollow on SpotifyRSS FeedRegister for the new live eventBrought to you by neptune.ai
