MLOps Live

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MLOps Liveinactive

Publisher |: neptune.ai

Media Type |: audio

Podknife tags |: Artificial Intelligence,; Interview,; Machine Learning,; Technology

Categories Via RSS |: Technology

MLOps Live is a biweekly Q&A show where practitioners doing ML at a reasonable scale answer questions from other ML practitioners. Every episode focused on one specific subject related to MLOps. Only the juicy bits, the things you won’t find in a company blog post.

Country Of Origin |: Poland
Produced In |: Warsaw, Masovia
Premiere Date |: 2022-05-06
Related Hashtags |: #AI,; #ExperimentTracking,; #MachineLearning,; #ML,; #MLOps
Frequency |: Biweekly
Explicit |: No

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27 Available Episodes (27 Total) / Average duration: 00:51:48

Date Duration Most Reviewed Highest Rated

27 Available Episodes (27 Total)Average duration: 00:51:48

Apr 12, 2023

00:53:56

Subscribe to our YouTube channel to watch this episode!Learn more about Delina:

Delina’s LinkedIn

Episode Resources:

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

Previous guests include: Andy McMahon of NatWest Group, Jacopo Tagliabue of Coveo, Adam Sroka of Origami, Amber Roberts of Arize AI, Michal Tadeusiak of deepsense.ai, Danny Leybzon of WhyLabs, Kyle Morris of Banana ML, Federico Bianchi of Università Bocconi, Mateusz Opala of Brainly, Kuba Cieslik of tuul.ai, Adam Becker of Telepath.io and Fernando Rejon & Jakub Zavrel of Zeta Alpha Vector. Check out our three most downloaded episodes:

MLOps Live is handcrafted by our friends over at: fame.so

Mar 29, 2023

00:49:48

Subscribe to our YouTube channel to watch this episode!Learn more about Andreas and Ivan:

Andreas’ LinkedIn
Ivan’s LinkedIn

Episode Resources:

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Mar 15, 2023

00:57:34

Subscribe to our YouTube channel to watch this episode!Learn more about Silas and Abhijit:

Silas’ LinkedIn
Abhijit’s LinkedIn

Episode Resources:

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Mar 01, 2023

00:55:58

Subscribe to our YouTube channel to watch this episode!Learn more about Jason Flaks:

Jason's LinkedIn

Episode Resources:

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Feb 15, 2023

00:52:31

Subscribe to our YouTube channel to watch this episode!Learn more about Kacper Lukawski:

Kacper’s LinkedIn
Kacper’s Twitter

Episode Resources:

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Feb 01, 2023

00:54:43

Subscribe to our YouTube channel to watch this episode!

Learn more about Aurimas Griciūnas and Piotr Niedzwiedz:

Aurimas's LinkedIn
Piotr's LinkedIn

Episode Resources:

neptune.ai Website
SwirlAI Website
Qflow
Kafka
Cassandra
Airflow
Kubernetes
Swirl AI newsletter
neptune.ai blog
Designing Machine Learning Systems by Chip Huyen
Fundamentals of Data Engineering by Joe Reis, Matt Housley

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Jan 18, 2023

00:52:28

Subscribe to our YouTube channel to watch this episode!Learn more about Itay Ben Haim:

Itay's LinkedIn

Episode Resources:

Superwise Website
Google vertex
Github
BentoML
Azure ML
pipelines.readthedocs.io/en/latest/source/kfp.compiler.html">Kubeflow's compiler
Amazon SageManager

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Jan 04, 2023

00:51:46

Subscribe to our YouTube channel to watch this episode!Learn more about Vishnu Rachakonda:

Vishnu's LinkedIn

Episode Resources:

Vishnu's Publication
firsthand's Website

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Dec 21, 2022

00:49:20

Subscribe to our YouTube channel to watch this episode!

Learn more about Shirsha Ray Chaudhuri:

Shirsha's LinkedIn

Episode Resources:

Shirsha's Publication
TR Labs' thomson-reuters-labs.html">Website

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Dec 07, 2022

00:50:23

Subscribe to our YouTube channel to watch this episode!

Learn more about Laszlo Sragner:

Laszlo's LinkedIn
Laszlo's Twitter

Episode Resources:

Laszlo’s Newsletter
Hypergolic's Website
Refactoring the Titanic

If you enjoyed this episode then please either:

Subscribe, rate, and review on Apple Podcasts
Follow on Spotify
RSS Feed

To learn more visit Neptune.ai

MLOps Live is handcrafted by our friends over at: fame.so

Apr 12 | 00:53:56

Managing Data and ML Teams to Deliver Value with Delina Ivanova

Mar 29 | 00:49:48

Leveraging MLOps Technologies and Principles at Non-ML Companies with Andreas Malekos and Ivan Chon-Hon Chan

Mar 15 | 00:57:34

Doing MLOps for Clinical Research Studies with Silas Bempong and Abhijit Ramesh

Mar 01 | 00:55:58

Deploying Conversational AI Products to Production with Jason Flaks

Feb 15 | 00:52:31

Implementing Vector Search Engines with Kacper Lukawski

Feb 01 | 00:54:43

ML platform teams, features stores, versioning in data pipelines, and where MLOps extends DevOps with Aurimas Griciūnas and Piotr Niedźwiedź

Jan 18 | 00:52:28

Continuous MLOps Pipelines with Itay Ben Haim

Jan 04 | 00:51:46

Setting Up MLOps at a Healthcare Startup with Vishnu Rachakonda

Dec 21 | 00:49:20

Intersecting DevOps With the ML Lifecycle with Shirsha Ray Chaudhuri

Dec 07 | 00:50:23

Writing Clean, Production-Level ML Code with Laszlo Sragner

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