MLOps.community
DemetriosRelaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)
| Publishes | Twice weekly | Episodes | 476 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
Andy Pernsteiner is the Field CTO at VAST Data, working on large-scale AI infrastructure, serverless compute near data, and the rollout of VAST’s AI Operating System.
The GPU Uptime Battle // MLOps Podcast #346 with Andy Pernsteiner, Field CTO of VA... more
Dr. Jeff Schwartzentruber is a Senior Machine Learning Scientist at eSentire, working on anomaly detection pipelines and the use of large language models to enhance cybersecurity operations.
The Evolution of AI in Cyber Security // MLOps Podcast #34... more
Jaipal Singh Goud is the CTO at Prem AI, working on model customization and privacy-preserving compute.
This episode was recorded at the Plan B studios in Lugano, Switzerland. For more information, visit pow.space/
How do fine-tuned models... more
The Semantic Layer and AI Agents // MLOps Podcast #343 with David Jayatillake, VP of AI at Cube.dev.
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// Abstract
David Jayatilla... more
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- Best ML Podcast on the planet
Anything you want to learn, understand about AI, ML and Data Science this is the place to be!
Apple Podcasts5GeorgeShafik
Australiaa year ago - Consistently good information from operators
No fluff. Getting into the details. There's no other podcast like this. Thank you for sharing!
Apple Podcasts5Stealth912
United States2 years ago - Community de Lux for data professionals
🤓The best hosts you can think of. Data professionals with emotional intelligence.
Super guests and great topics.
🌍On top there’s a world spanning network of Meetup groups!
You need to listen to this if you are in the data space
Apple Podcasts5Asmedegaardp
Norway3 years ago - Berry mucho MLOps!
There is so much MLOps stuff in this podcast that it fascinates me as to how I didn’t know about MLOps prior to 2021. MLops is basically cloud native ML engineering a.k.a “let us reinvent the ML wheel every year”. Design choices aren’t easy in the MLops world and this podcast gives your the right context to hone in your decision muscle
Apple Podcasts5Mr. Nomadic Coder
United Kingdom3 years ago An intergalactic journey into the furthest frontiers of MLOps, delivered with the friendly warmth of hot cocoa on a cozy winter day. Demetrios and crew tackle the gnarliest problems in the field while making room for fun, laugh-filled conversations. Great show for constant learning, and don't sleep on the slack group!
Podcast Addict53 years agohodges_troy
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Apple Podcasts | #173 |  France/Technology |
Apple Podcasts | #26 |  Israel/Technology |
Apple Podcasts | #76 |  Poland/Technology |
Apple Podcasts | #123 |  Finland/Technology |
Apple Podcasts | #176 | Norway/Technology |
Apple Podcasts | #183 |  Brazil/Technology |
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Frequently Asked Questions About MLOps.community
What is MLOps.community about and what kind of topics does it cover?
Conversations center around practical aspects of deploying machine learning and artificial intelligence systems in various contexts, from traditional machine learning methods to emerging concepts like AI agents and large language models. The episodes often feature industry professionals sharing insights on challenges faced in real-world applications, evaluating AI models, and enhancing productivity through innovative tools. Noteworthy is the community-driven approach and emphasis on making complex technical discussions accessible, catering to both practitioners and those who are eager to understand the fast-evolving landscape of AI and machine learning deployments.
Where can I find podcast stats for MLOps.community?
Rephonic provides a wide range of podcast stats for MLOps.community. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to MLOps.community and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does MLOps.community get?
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What are the audience demographics for MLOps.community?
Rephonic provides comprehensive predictive audience data for MLOps.community, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
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To see how many followers or subscribers MLOps.community has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Which podcasts are similar to MLOps.community?
These podcasts share a similar audience with MLOps.community:
1. Practical AI
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. Software Engineering Daily
4. DataFramed
5. Data Skeptic
How many episodes of MLOps.community are there?
MLOps.community launched 6 years ago and published 476 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact MLOps.community?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for MLOps.community?
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What guests have appeared on MLOps.community?
Recent guests on MLOps.community include:
1. Team Member
2. Jukka Remes
3. David Hershey
4. Krishna Sridhar
5. Lauren Kaplan
6. Erica Greene
7. Matar Haller
8. Shaun Wei
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.