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PODCAST

MLOps.community

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

technology

All Episodes

00:57:24

The DuckLake Lakehouse Format // Hannes Mühleisen //...

MLOps.community ·

2025/09/19

The DuckLake Lakehouse Format // MLOps Podcast #339 with Hannes Mühleisen, Co-founder and CEO of DuckDB Labs.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractManaging data on Object Stores has been a painful affair. Users had to choose between data swamp chaos or a maze of metadata files with catalog servers on top. DuckLake is a new paradigm for managing data on object stores: First, it uses classical SQL data management

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00:32:34

How LiveKit Became An AI Company By Accident

MLOps.community ·

2025/09/16

AI Conversations Powered by Prosus Group Russ d'Sa shares how LiveKit went from a small open-source project during the pandemic to powering voice interfaces for giants like OpenAI. He talks about the turning point when LiveKit teamed up on ChatGPT’s voice features, the challenges of making AI sound human, and why voice could be the future of multimodal AI. It’s a story of chance, big shifts, and building the backbone of tomorrow’s AI.Guest speakers: Russ Dsa - CEO of LiveKitHost: Demetrios

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00:45:59

Economics of Building Data Centers, GPU Clouds,...

MLOps.community ·

2025/09/12

AI Conversations Powered by Prosus Group. Craig Tavares, COO of Buzz High Performance Compute, shares lessons from building GPU cloud infrastructure worldwide. He stresses the role of sovereign mandates, renewable power, and modular cooling in scaling data centers, while highlighting NVIDIA partnerships and orchestration as key to sustaining AI workloads.Guest speaker: Craig Tavares - COO of Buzz HPCHost: Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all

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00:59:22

Trust at Scale: Security and Governance for Open...

MLOps.community ·

2025/09/09

Trust at Scale: Security and Governance for Open Source Models // MLOps Podcast #338 with Hudson Buzby, Solutions Architect at JFrog.Appreciate JFrog for their support in bringing this blog to life.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractFor better or for worse, machine learning has traditionally escaped the gaze of security and infrastructure teams, operating outside traditional DevOps practices and not always

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00:52:36

LLM Search, UI/UX challenges, Context Engineering and...

MLOps.community ·

2025/09/05

AI Conversations Powered by Prosus Group Nishikant Dhanuka talks about what it really takes to make AI agents useful—especially in e-commerce and productivity. From making them smarter with context (like user history and real-time data) to mixing chat and UI for smoother interactions, he breaks down what’s working and what’s not. He also shares why evals matter, how to test with real users, and why AI only succeeds when it actually makes life easier, not more complicated.Guest speaker: Nishikant

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00:48:56

The Era of AI Agents in Marketing // Joel Horwitz //...

MLOps.community ·

2025/09/01

The Era of AI Agents in Marketing // MLOps Podcast #337 with Joel Horwitz, Growth Engineer at Neoteric3D.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractWe’re entering a new era in marketing—one powered by AI agents, not just analysts. The rise of tools like Clay, Karrot.ai, 6sense, and Mutiny is reshaping how go-to-market (GTM) teams operate, making room for a new kind of operator: the GTM engineer. This hybrid role blends

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00:57:35

Distilling 200+ Hours of NeurIPS: What’s Next for AI...

MLOps.community ·

2025/08/27

Distilling 200+ Hours of NeurIPS: What’s Next for AI // MLOps Podcast #336 with Nikolaos Vasiloglou, VP of Research ML at RelationalAI.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractNikolaos widely shared analysis on LinkedIn highlighted key insights across agentic AI, scaling laws, LLM development, and more. Now, he’s exploring how AI itself might be trained to automate this process in the future, offering a glimpse into

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00:49:48

Building Coding Agents: Design Decisions, Prompting...

MLOps.community ·

2025/08/22

AI Conversations Powered by Prosus Group Demetrios chats with Beyang Liu about Sourcegraph’s AMP, exploring how AI coding agents are reshaping development—from IDEs to natural language commands—boosting productivity, cutting costs, and redefining how developers work with code.Guest speakers:Beyang Liu - CTO of SourcegraphHost:Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin

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00:32:50

A Candid Conversation with the CEO of Stack Overflow

MLOps.community ·

2025/08/21

AI Conversations Powered by Prosus Group Stack Overflow is adapting to the AI era by licensing its trusted Q&A corpus, expanding into discussions and enterprise tools, and reinforcing its role as a reliable source as developer trust in AI output declines.Guest speaker:Prashanth Chandrashekar - CEO of Stack OverflowHost:Demetrios Brinkmann - Founder of MLOps Community2025 Developer Survey:

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00:55:14

Knowledge is Eventually Consistent // Devin Stein //...

MLOps.community ·

2025/08/17

Knowledge is Eventually Consistent // MLOps Podcast #335 with Devin Stein, CEO of Dosu.Grateful to @Databricks and @hyperbolic-labs for supporting our podcast and helping us keep great conversations going.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAI as a partner in building richer, more accessible written knowledge—so communities and teams can thrive, endure, and expand their reach.// BioDevin is the CEO and

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00:47:39

LinkedIn Recommender System Predictive ML vs LLMs

MLOps.community ·

2025/08/12

Demetrios chats with Arpita Vats about how LLMs are shaking up recommender systems. Instead of relying on hand-crafted features and rigid user clusters, LLMs can read between the lines—spotting patterns in user behavior and content like a human would. They cover the perks (less manual setup, smarter insights) and the pain points (latency, high costs), plus how mixing models might be the sweet spot. From timing content perfectly to knowing when traditional methods still win, this episode pulls back

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00:55:46

GPU Considerations, Labeling Privacy, Rapid Fine...

MLOps.community ·

2025/08/09

Agents in Production [Podcast Limited Series] Episode Nine – Training LLMs, Picking the Right Models, and GPU HeadachesPaul van der Boor and Zulkuf Genc from Prosus join Demetrios to talk about what it really takes to get AI agents running in production. From building solid eval sets to juggling GPU logistics and figuring out which models are worth using (and when), they share hard-won lessons from the front lines. If you're working with LLMs at scale—or thinking about it—this one’s for you.Guest

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00:47:59

The Hidden Bottlenecks Slowing Down AI Agents

MLOps.community ·

2025/08/05

Demetrios chats with Paul van der Boor and Bruce Martens from Prosus about the real bottlenecks in AI agent development—not tools, but evaluation and feedback. They unpack when to build vs. buy, the tradeoffs of external vendors, and how internal tools like Copilot are reshaping workflows.Guest speakers:Paul van der Boor - VP AI at Prosus GroupBruce Martens - AI Engineer at Prosus GroupHost:Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes,

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01:20:33

9 Commandments for Building AI Agents

MLOps.community ·

2025/08/01

Building AI agents that actually get things done is harder than it looks. Demetrios, Paul, and Dmitri break down what makes agents effective—from smart planning and memory to treating tools, systems, and even people as components. They cover the "react" loop, budgeting for long tasks, sandboxing, and learning from experience. It’s a sharp, practical look at what it really takes to design useful, adaptive AI agents.Guest speakers:Paul van der Boor - VP AI at Prosus GroupDmitri Jarnikov -

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01:05:00

Enterprise AI Adoption Challenges

MLOps.community ·

2025/07/29

Building AI Agents that work is no small feat.In Agents in Production [Podcast Limited Series] - Episode Six, Paul van der Boor and Sean Kenny share how they scaled AI across 100+ companies with Toqan—a tool born from a Slack experiment and grown into a powerful productivity platform. From driving adoption and building super users to envisioning AI employees of the future, this conversation cuts through the hype and gets into what it really takes to make AI work in the enterprise.Guest speakers:Paul

en-us

00:58:04

Real-time Feature Generation at Lyft // Rakesh Kumar...

MLOps.community ·

2025/07/25

Real-time Feature Generation at Lyft // MLOps Podcast #334 with Rakesh Kumar, Senior Staff Software Engineer at Lyft.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractThis session delves into real-time feature generation at Lyft. Real-time feature generation is critical for Lyft where accurate up-to-the-minute marketplace data is paramount for optimal operational efficiency. We will explore how the infrastructure handles the

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00:57:06

AI Agent Development Tradeoffs You NEED to Know

MLOps.community ·

2025/07/22

Sherwood Callaway, tech lead at 11X, joins us to talk about building digital workers—specifically Alice (an AI sales rep) and Julian (a voice agent)—that are shaking up sales outreach by automating complex, messy tasks.He looks back on his YC days at OpKit, where he first got his hands dirty with voice AI, and compares the wild ride of building voice vs. text agents. We get into the use of Langgraph Cloud, integrating observability tools like Langsmith and Arize, and keeping hallucinations in check

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00:35:51

From the Legal Trenches to Tech // Nick Coleman // #332

MLOps.community ·

2025/07/15

From the Legal Trenches to Tech // MLOps Podcast #332 with Nick Coleman, Attorney/Founder of LexMed.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractNick Coleman shares his journey from high-volume Social Security disability practice to founding LexMed, a legal tech startup leveraging AI to transform how attorneys handle complex cases. He'll discuss LexMed's dual AI platforms: Hearing Echo, which automates

en-us

00:54:13

The Rise of Sovereign AI and Global AI Innovation in...

MLOps.community ·

2025/07/11

The Rise of Sovereign AI and Global AI Innovation in a World of US Protectionism // MLOps Podcast #331 with Frank Meehan, Founder and CEO of Frontier One AI.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// Abstract“The awakening of every single country is that they have to control their AI intelligence and not outsource their data" - Jensen Huang. Sovereign AI is rapidly becoming a fundamental national utility, much like

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01:04:49

A New Way of Building with AI

MLOps.community ·

2025/07/09

Thanks to MLflow for supporting this episode — the platform helping teams track, manage, and deploy ML and GenAI projects with ease. Try it free at mlflow.org.What if AI could build and maintain your software—like a co-worker who never forgets state? In this episode, Jiquan Ngiam chats with Demetrios about agents that actually do the work: parsing emails, updating spreadsheets, and reshaping how we design software itself. Less hype, more hands-on AI—tune in for a glimpse at the future of truly

en-us

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