Latest episodes
![Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
Introducing Data Downtime: From Firefighting to Winning // Barr Moses // MLOps Coffee Sessions #19
MLOps Community,![The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
The Current MLOps Landscape // Nathan Benaich & Timothy Chen // MLOps Meetup #43
MLOps Community,![When Machine Learning meets privacy - Episode 3 with Charles Radclyffe](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
When Machine Learning meets privacy - Episode 3 with Charles Radclyffe
MLOps Community,![UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
UN Global Platform // Mark Craddock // Co-Founder & CTO, Global Certification and Training Ltd // MLOps Meetup #42
MLOps Community,![When Machine Learning meets Data Privacy - Episode 2 with Cat Coode](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
When Machine Learning meets Data Privacy - Episode 2 with Cat Coode
MLOps Community,![Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
Metaflow: Supercharging Our Data Scientist Productivity // Ravi Kiran Chirravuri // MLOps Meetup #41
MLOps Community,![When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
When You Say Data Scientist Do You Mean Data Engineer? Lessons Learned From Start Up Life // Elizabeth Chabot
MLOps Community,![Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
Luigi in Production // MLOps Coffee Sessions #18 // Luigi Patruno ML in Production
MLOps Community,![When Machine Learning meets Data Privacy](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
When Machine Learning meets Data Privacy
MLOps Community,![Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17
MLOps Community,![Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
Hands-on serving models using KFserving // Theofilos Papapanagiotou // Data Science Architect at Prosus // MLOps Meetup #40
MLOps Community,![Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
Operationalize Open Source Models with SAS Open Model Manager // Ivan Nardini // Customer Engineer at SAS // MLOps Meetup #39
MLOps Community,![Machine in Production = Data Engineering + ML + Software Engineering // Satish Chandra Gupta // MLOps Coffee Sessions #16](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
Machine in Production = Data Engineering + ML + Software Engineering // Satish Chandra Gupta // MLOps Coffee Sessions #16
MLOps Community,![MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps + Machine Learning // James Sutton // MLOps Coffee Sessions #15
MLOps Community,![Scalable Python for Everyone, Everywhere // Matthew Rocklin // MLOps Meetup #38](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
Scalable Python for Everyone, Everywhere // Matthew Rocklin // MLOps Meetup #38
MLOps Community,![MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova
MLOps Community,![MLOps Coffee Sessions #14 Conversation with the Creators of Dask // Hugo Bowne-Anderson and Matthew Rocklin](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Coffee Sessions #14 Conversation with the Creators of Dask // Hugo Bowne-Anderson and Matthew Rocklin
MLOps Community,![MLOps Coffee Sessions #12: Journey of Flyte at Lyft and Through Open-source // Ketan Umare](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Coffee Sessions #12: Journey of Flyte at Lyft and Through Open-source // Ketan Umare
MLOps Community,![MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Coffee Sessions #11: Analyzing “Continuous Delivery and Automation Pipelines in ML" // Part 3
MLOps Community,![MLOps Meetup #36: Moving Deep Learning from Research to Prod Using DeterminedAI and Kubeflow // David Hershey, DeterminedAI](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Meetup #36: Moving Deep Learning from Research to Prod Using DeterminedAI and Kubeflow // David Hershey, DeterminedAI
MLOps Community,![MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2
MLOps Community,![MLOps Meetup #34: Streaming Machine Learning with Apache Kafka and Tiered Storage // Kai Waehner, Confluent](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Meetup #34: Streaming Machine Learning with Apache Kafka and Tiered Storage // Kai Waehner, Confluent
MLOps Community,![MLOps Coffee Sessions #9 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning “ // Part 1](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Coffee Sessions #9 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning “ // Part 1
MLOps Community,![MLOps Meetup #33 Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads // David Aronchick - Head of Open Source ML Strategy at Azure](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Meetup #33 Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads // David Aronchick - Head of Open Source ML Strategy at Azure
MLOps Community,![MLOps Meetup #32 Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Founder of Model Zoo](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Meetup #32 Building Say Less: An AI-Powered Summarization App // Yoav Zimmerman - Founder of Model Zoo
MLOps Community,![MLOps Coffee Sessions #8 // MLOps from the Perspective of an SRE // Neeran Gul](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Coffee Sessions #8 // MLOps from the Perspective of an SRE // Neeran Gul
MLOps Community,![MLOps Meetup #31 // Creating Beautiful Ambient Music with Google Brain’s Music Transformer // Daniel Jeffries - Chief Technology Evangelist at Pachyderm](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Meetup #31 // Creating Beautiful Ambient Music with Google Brain’s Music Transformer // Daniel Jeffries - Chief Technology Evangelist at Pachyderm
MLOps Community,![MLOps Coffee Sessions #7 // MLOps and DevOps - Parallels and Deviations // Featuring Damian Brady](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Coffee Sessions #7 // MLOps and DevOps - Parallels and Deviations // Featuring Damian Brady
MLOps Community,![MLOps Meetup #30 // Path to Production and Monetizing Machine Learning // Vin Vashishta - Data Scientist | Strategist | Speaker & Author](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)
MLOps Meetup #30 // Path to Production and Monetizing Machine Learning // Vin Vashishta - Data Scientist | Strategist | Speaker & Author
MLOps Community,![MLOps Meetup #29 // Scaling Machine Learning Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet](https://media2.dev.to/dynamic/image/width=240,height=240,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fpodcast%2Fimage%2F567%2Fde317e06-1d0c-40b6-a5a6-64dc3cf60474.png)