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MLOps.community

Demetrios
Machine Learning
Model Management
Large Language Models
Mlops
AI and Machine Learning
Regulated Environments
Data Management
Dataception
Regulatory Compliance
Data Science
Natural Language Processing
Manufacturing
Data Products
AWS
Yugogpt
Agile Methodology
Codeium
Data Science Life Cycle
LLM Ops
AI In Manufacturing

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

PublishesTwice weeklyEpisodes502Founded6 years ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for MLOps.community

Latest Episodes

March 3rd, Computer History Museum CODING AGENTS CONFERENCE, come join us while there are still tickets left.

luma.com/codingagents

Chris Fregly is currently focused on building and scaling high-performance AI systems, writing and teaching ... more

Roundtable CAST AI episode: Serving LLMs in Production: Performance, Cost & Scale.

Join the Community:

go.mlops.community/YTJoinIn

Get the newsletter: go.mlops.community/YTNewsletter

MLOps GPU Guide:

go.mlops.community... more

Rahul Raja is a Staff Software Engineer at LinkedIn, working on large-scale search infrastructure, information retrieval systems, and integrating AI/ML to improve ranking and semantic search experiences.

The Future of Information Retrieval: From Den... more

Vincent Warmerdam is a Founding Engineer at marimo, working on reinventing Python notebooks as reactive, reproducible, interactive, and Git-friendly environments for data workflows and AI prototyping. He helps build the core marimo notebook platform,... more

Key Facts

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Recent Guests

Not identified
Not specified
Episode: Computers that Think and Take Actions for You
Team Member
Part of the team that developed the AI travel agent
Unicorn Mafia
Episode: Best AI Hackathon Project Ever? [Bite Size Episode]
Jukka Remes
Senior Lecturer of ICT and AI at Haaga-Helia University of Applied Sciences and founder and CTO of A2Wave AI
A2Wave AI
Episode: Packaging MLOps Tech Neatly for Engineers and Non-engineers // Jukka Remes // #322
David Hershey
Member of the Applied AI team at Anthropic
Anthropic
Episode: Claude Plays Pokémon - A Conversation with the Creator // David Hershey // #297
Krishna Sridhar
VP of Engineering at Qualcomm
Qualcomm
Episode: Efficient Deployment of Models at the Edge // Krishna Sridhar // #284
Lauren Kaplan
Mixed methods UX researcher focused on AI
Episode: The Impact of UX Research in the AI Space // Lauren Kaplan // #272
Erica Greene
Head of engineering for ML at Yahoo News
Yahoo News
Episode: AI Testing Highlights // Special MLOps Podcast Episode
Matar Haller
VP at Data & AI at ActiveFence
ActiveFence
Episode: Detecting Harmful Content at Scale // Matar Haller // #246
Shaun Wei
CEO of RealChar
RealChar
Episode: AI Agents for Consumers // Shaun Wei // #244

Host

Demetrios
Host of the MLOps.community podcast

Reviews

4.8 out of 5 stars from 208 ratings
  • 10 out of 5 stars

    Amazing host/podcast, very informative and awesome guests.

    Apple Podcasts
    5
    anxnsodkcoapsjdj
    United Statesa month 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 Podcasts
    5
    GeorgeShafik
    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 Podcasts
    5
    Stealth912
    United 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 Podcasts
    5
    Asmedegaardp
    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 Podcasts
    5
    Mr. Nomadic Coder
    United Kingdom3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Feedback highlights the podcasts' ability to communicate complex topics clearly and engagingly, making it appealing to both seasoned and newer professionals.
Listeners express that the content is filled with valuable insights for understanding MLOps and practical AI applications.
Many reviews commend the quality of guest speakers, enhancing the learning experience with diverse industry perspectives.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#43
South Africa/Technology

Talking Points

Recent interactions between the hosts and their guests.

Serving LLMs in Production: Performance, Cost & Scale // CAST AI Roundtable
Q: How do different quantization techniques apply to specialized LLMs?
Techniques can often be reused across different models, maintaining the principles of the transformer architecture.
Overcoming Challenges in AI Agent Deployment: The Sweet Spot for Governance and Security // Spencer Reagan // #349
Q: What are your thoughts on the security and governance aspect of giving agency to AI?
The balance of empowering AI agents with autonomy while implementing constraints to ensure security is crucial in creating a trustworthy system.
Overcoming Challenges in AI Agent Deployment: The Sweet Spot for Governance and Security // Spencer Reagan // #349
Q: What are some use cases and ways in which you've been seeing AI doing well in businesses?
Most of the use cases involve summarization and expansion of ideas, particularly involving data management tasks centered around spreadsheets.
Building Claude Code: Origin, Story, Product Iterations, & What's Next // Siddharth Bidasaria // #342
Q: How have you seen people just surprise you with what they're doing?
One person was using a fleet of 10 to 12 Claudes for one problem, giving all instances a persona.
Building Claude Code: Origin, Story, Product Iterations, & What's Next // Siddharth Bidasaria // #342
Q: What has been your favorite feature that you added?
My favorite feature that I added would probably be the to-do list.

Audience Metrics

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Listeners per Episode
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Frequently Asked Questions About MLOps.community

What is MLOps.community about and what kind of topics does it cover?

Content revolves around the practical aspects of implementing machine learning and artificial intelligence in real-world applications. Listeners can expect insightful discussions on a wide range of topics, including MLOps, coding agents, AI infrastructure, and cognitive search technologies. The unique angle is a focus on bridging the gap between theoretical knowledge and practical deployment, making it an invaluable resource for professionals looking to navigate the complexities of AI operations. Conversations also include notable guests from various sectors, allowing for diverse perspectives on evolving technologies and methodologies.

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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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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. Dwarkesh Podcast
3. Making Sense with Sam Harris
4. The a16z Show
5. The AI Daily Brief: Artificial Intelligence News and Analysis

How many episodes of MLOps.community are there?

MLOps.community launched 6 years ago and published 502 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.

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What guests have appeared on MLOps.community?

Recent guests on MLOps.community include:

1. Not identified
2. Team Member
3. Jukka Remes
4. David Hershey
5. Krishna Sridhar
6. Lauren Kaplan
7. Erica Greene
8. Matar Haller

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.

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