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 | 543 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
David Soria Parra is an Engineering Lead at Anthropic and one of the core maintainers of the Model Context Protocol (MCP). We explore the biggest evolution of the protocol since its launch, and why MCP is becoming the foundation for the next generati... more
Manish Dasaur is a Managing Director at PwC with over 20 years in data and AI, having helped 100+ clients navigate AI disruption and extract real business value from data, AI, and agentic AI initiatives. In this episode, he breaks down why most enter... more
In this episode, we're joined by Jeremiah Lowin, Founder & CEO at Prefect and the creator of FastMCP, to explore how one of the most influential projects in the MCP ecosystem came to be - and where the protocol is heading next.
We discuss the accide... more
In this episode, we're joined by Stephen O'Grady, Co-Founder and Principal Analyst at RedMonk, to explore one of the biggest shifts happening in software engineering: AI is making code dramatically cheaper to produce, but everything downstream is bec... more
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Reviews
- Lots of stealth marketing pitches, very little information
The hosts are a couple of young guys who spend most of the time congratulating themselves for moving to the Bay Area. Lots of “everyone who’s serious about tech is in the bay, it’s that simple” on every. Single. Episode. Most guests are from other B2B SaaS companies hocking their products, and on the occasion that there’s an informative guest, their blog posts and papers won’t get linked in the show notes because they’re too busy #disrupting. Not a good resource for people looking to stay knowle... more
Apple Podcasts1Thank T.
United States3 months ago - 10 out of 5 stars
Amazing host/podcast, very informative and awesome guests.
Apple Podcasts5anxnsodkcoapsjdjUnited States6 months ago - 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
Australia2 years ago - Consistently good information from operators
No fluff. Getting into the details. There's no other podcast like this. Thank you for sharing!
Apple Podcasts5Stealth912United States3 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
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Chart Rankings
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Apple Podcasts | #233 |  United Kingdom/Technology |
Apple Podcasts | #115 |  Austria/Technology |
Apple Podcasts | #136 |  Chile/Technology |
Apple Podcasts | #194 |  Hong Kong/Technology |
Apple Podcasts | #215 |  South Africa/Technology |
Apple Podcasts | #219 |  Netherlands/Technology |
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Frequently Asked Questions About MLOps.community
What is MLOps.community about and what kind of topics does it cover?
Strong focus on practical AI production, ML tooling, and scalable agent workflows. Episodes frequently explore long-running agents, orchestration, observability, and production-ready evaluation, with deep dives into latency, reliability, and governance in real-world deployments. Notable strengths include a hands-on lens from practitioners, open-source and vendor contrasts, and discussions that bridge research concepts with enterprise constraints, making it valuable for listeners building or buying ML/AI systems. The show tends to feature operators and engineers who share implementable patterns, lessons from live deployments, and perspectives on open standards and interoperability across runtimes.
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?
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How many subscribers and views does MLOps.community have?
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. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
2. Practical AI
3. Y Combinator Startup Podcast
4. The a16z Show
5. Training Data
How many episodes of MLOps.community are there?
MLOps.community launched 6 years ago and published 543 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?
Rephonic pulls ratings and reviews for MLOps.community from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for MLOps.community?
Rephonic provides full transcripts for episodes of MLOps.community. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
What guests have appeared on MLOps.community?
Recent guests on MLOps.community include:
1. Manish Dasaur
2. Matt DeBergalis
3. Shaun Smith
4. Ben Morss
5. Matt McDowell
6. Kingsley Madikaegbu
7. Naseem Al-Naji
8. Samraj Moorjani
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.