Shows
Data Builders09 - MLOps community - Demetrios BrinkmannIn this episode of The Data Builders Podcast, we dive into a lively conversation with Demetrios founder of MLOps Community. He shares his journey from being a sales guy to running a global community of AI/ML practitioners with over 20,000 members. He discusses the importance of creating psychological safety in communities, the evolution of data science and machine learning projects, and the rise of AI engineers. We also explore fascinating AI agent use cases, their challenges, and the cognitive load involved in interacting with chatbots. Join us for behind-the-scenes look at building a thriving community in the tech world.2025-04-2850 min
MLOps.communityThe Agent Exchange: Practitioner InsightsAgents in Production [Podcast Limited Series] - Episode Five, Dmitri Jarnikov, Chiara Caratelli, and Steven Vester join Demetrios to explore AI agents in e-commerce. They discuss the trade-offs between generic and specialized agents, with Dmitri noting the need for a balance between scalability and precision. Chiara highlights how agents can dynamically blend both approaches, while Steven predicts specialized agents will dominate initially before trust in generic agents grows. The panel also examines how e-commerce platforms may resist but eventually collaborate with AI agents. Trust remains a key factor in adoption, with opportunities emerging for new agent-driven business models. 2025-03-0348 min
MLOps.communityTalk to Your Data: The SQL Data AnalystIn Agents in Production [Podcast Limited Series] - Episode Four, Donné Stevenson and Paul van der Boor break down the deployment of a Token Data Analyst agent at Prosus—why, how, and what worked. They discuss the challenges of productionizing the agent, from architecture to mitigating LLM overconfidence, key design choices, the role of pre-checks for clarity, and why they opted for simpler text-based processes over complex recursive methods.Guest speakers: Paul van der Boor - VP AI at Prosus GroupDonne Stevenson - Machine Learning Engineer at Prosus GroupHost: Demetrios Brinkmann - F...2025-02-2853 min
MLOps.communityGetting to Grips with Web AgentsAgents in Production [Podcast Limited Series] - Episode Three explores the concept of web agents—AI-powered systems that interact with the web as humans do, navigating browsers instead of relying solely on APIs. The discussion covers why web agents emerge as a natural step in AI evolution, their advantages over API-based systems, and their potential impact on e-commerce and automation. The conversation also highlights challenges in making websites agent-friendly and envisions a future where agents seamlessly handle tasks like booking flights or ordering food.Guest speakers:Paul van der Boor - VP...2025-02-2645 min
MLOps.communityThe Challenge with Voice AgentsIn Agents in Production Series - Episode Two, Demetrios, Paul, and Floris explore the latest in Voice AI agents. They discuss real-time voice interactions, OpenAI's real-time Voice API, and real-world deployment challenges. Paul shares insights from iFood’s voice AI tests in Brazil, while Floris highlights technical hurdles like turn detection and language processing. The episode covers broader applications in healthcare and customer service, emphasizing continuous learning and open-source innovation in Voice AI.Guest speakers:Paul van der Boor - VP AI at Prosus GroupFloris Fok - AI Engineer at...2025-02-2247 min
MLOps.communityThe Agent Landscape - Lessons Learned Putting Agents Into ProductionIn Agents in Production Series - Episode One, Demetrios chats with Paul van der Boor and Floris Fok about the real-world challenges of deploying AI agents across @ProsusGroup of companies. They break down the evolution from simple LLMs to fully interactive systems, tackling scale, UX, and the harsh lessons from failed projects. Packed with insights on what works (and what doesn’t), this episode is a must-listen for anyone serious about AI in production.Guest speakers: Paul van der Boor - VP AI at Prosus GroupFloris Fok - AI Engineer at Pros...2025-02-201h 08
The Only ConstantEpisode #44 | Demetrios Brinkmann | AI Agents: Hype, Complexity, and What Actually WorksIn this episode of The Only Constant, Lasse Rindom speaks with Demetrios Brinkmann, founder of the ML Ops Community, about the evolving role of AI agents and the balance between hype and practical applications. Their dynamic conversation dives into the complexities of AI in modern enterprises and the lessons learned from real-world use cases:The current state of AI agents and why stability remains elusiveWhy limiting scope is the key to success in agentic workflowsThe growing challenge of AI governance as tools proliferate across organizationsA provocative discussion on the societal implications of hacking language as a f...2025-01-161h 22
The Joe Reis ShowDemetrios Brinkmann - AI Hype vs Reality, Building a Global Community, and MoreDemetrios Brinkmann is the co-founder of the massively global MLOps Community. We chat about AI hype vs reality, building a global tech community, and ROI of AI projects, and much more.
LinkedIn: https://www.linkedin.com/in/dpbrinkm/
MLOps Community: https://mlops.community/2024-09-031h 10
MLOps.communityAI Testing Highlights // Special MLOps Podcast EpisodeMLOps for GenAI Applications // Special MLOps Podcast episode with Demetrios Brinkmann, Chief Happiness Engineer at MLOps Community.
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Demetrios explores common themes in ML model testing with insights from Erica Greene (Yahoo News), Matar Haller (ActiveFence), Mohamed Elgendy (Kolena), and Catherine Nelson (Freelance Data Scientist). They discuss tiered test cases, functional testing for hate speech, differences between AI and traditional software testing, and the complexities of evaluating LLMs. Demetrios wraps up by inviting feedback and promoting an upcoming virtual conference on data engineering for AI and ML.
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At the moment Demetrios is immersing himself in Machine Learning by...2024-09-0109 min
Data HackersMLOps vs LLMOps (Dublado por AI) - Data Hackers Episódio #93Prepare-se para uma experiência inovadora e disruptiva ! No primeiro episódio do Podcast Data Hackers dublado por AI, vamos explorar os debates mais atuais e relevantes entre MLOps vs LLMOps. Este episódio marca uma nova era no nosso podcast, trazendo conteúdos em português com a precisão e naturalidade das vozes geradas por inteligência artificial.
Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Demetrios Brinkmann, Co-FounderCo-Founder MLOps Community , vai compartilhar suas experiências e insights sobre como o dia a dia nesse campo evoluiu ao l...2024-08-2340 min
Practical AIHyperventilating over the Gartner AI Hype CycleThis week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.Join the discussionChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Intel Innovation 2024 – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! Learn more OR registerMotific – Accelerate your GenA...2024-07-2455 min
Changelog Master FeedHyperventilating over the Gartner AI Hype Cycle (Practical AI #279)This week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.
Leave us a commentChangelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!Sponsors:Intel Innovation 2024 – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! Learn more OR register
Mo...2024-07-2455 min
Super Data Science: ML & AI Podcast with Jon Krohn792: In Case You Missed It in May 2024Jon Krohn shares his favorite clips from May. Hear how Navdeep Martin is spearheading a company to tackle the climate crisis, why Sol Rashidi and Demetrios Brinkmann find nailing job titles so necessary in the fast-paced industries of tech and AI, and get the latest on embeddings with Luis Serrano.Additional materials: www.superdatascience.com/792Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.2024-06-1422 min
MLOps.communityUber's Michelangelo: Strategic AI Overhaul and Impact // #239Uber's Michelangelo: Strategic AI Overhaul and Impact // MLOps podcast #239 with Demetrios Brinkmann.
Huge thank you to Weights & Biases for sponsoring this episode. WandB Free Courses - http://wandb.me/courses_mlops
// Abstract
Uber's Michelangelo platform has evolved significantly through three major phases, enhancing its capabilities from basic ML predictions to sophisticated uses in deep learning and generative AI. Initially, Michelangelo 1.0 faced several challenges such as a lack of deep learning support and inadequate project tiering. To address these issues, Michelangelo 2.0 and subsequently 3.0 introduced improvements like support for Pytorch, enhanced model training, and integration of new technologies like Nvidia’s Tr...2024-06-0735 min
Super Data Science: ML & AI Podcast with Jon Krohn787: MLOps: The Job and The Key Tools, with Demetrios BrinkmannMLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools.This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0). Interested...2024-05-2856 minChangelog Master FeedRAG continues to rise (Practical AI #264)Daniel & Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming AI Quality Conference.
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The Hacker Mindset – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to...2024-04-1048 minPractical AIRAG continues to riseDaniel & Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming AI Quality Conference.Join the discussionChangelog++ members save 4 minutes on this episode because they made the ads disappear. Join today!Sponsors:The Hacker Mindset – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome...2024-04-1048 min
MLOps.community4 Years of the MLOps Community // Demetrios Brinkmann // #220Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/
Demetrios Brinkmann is the founder of the MLOps Community. Brinkmann fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and Machine Learning.
Huge thank you to Weights & Biases for sponsoring this episode. Weights & Biases - https://wandb.ai/site
MLOps podcast #220 with our very own Founder of MLOps Community, Demetrios Brinkmann, Looking Back on 4 Years of the MLOps Community.
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In this lively podcast episode, Mihail Eric hosts...2024-03-261h 04
AI Portfolio PodcastDemetrios Brinkmann: MLOps Community, LLM, Marketing and Podcasting - AI Portfolio PodcastDemetrios Brinkmann, the Founder and CEO of MLOps Community, as he shares his expertise on the dynamic landscape of Machine Learning Operations (MLOps) and the transformative impact of Large Language Models (LLMs). He also highlights the importance of authenticity and fun in community building, addresses common challenges in MLOps, and shares his experiences leading a technical community.📲 Demetrios Brinkmann Socials:LinkedIn: https://www.linkedin.com/in/dpbrinkm/Twitter: https://twitter.com/Dpbrinkm📲 Mark Moyou, PhD Socials:LinkedIn: https://www.linkedin.com/in/markmoyou/Twitter: https://twitter.com/MarkMoyou📗Chapters00:00...2024-01-271h 46
AI StoriesFrom English Teacher to MLOps Leader with Demetrios Brinkmann #39Our guest today is Demetrios Brinkmann, Founder and CEO of the MLOps Community. In our conversation, Demetrios first explains how he transitioned from being an English teacher to working in sales and then founding the MLOps community. He also talks about the role of MLOps in the ML lifecycle and shares a bunch of resources to level up your MLOps skills. We then dive into the hot topic of GenAI and LLMOps where Demetrios shares his view on specialised vs generalised LLMs and why it can be dangerous to build a startup on top of OpenAI. 2023-12-1944 min
Regulating AI: Innovate ResponsiblyThe Role of MLOps Community in Influencing AI PolicymakingAre we ready for the AI revolution? How do we balance innovation with regulation? On this episode, I’m joined by Demetrios Brinkmann, Founder and CEO of the MLOps Community, to explore AI's impact on global economies, security and workforce, and the challenges in creating effective regulatory frameworks.Key Takeaways:(00:51) The dual role of AI in boosting GDP and posing a threat to workforce and national security.(01:10) The US Congress' efforts to create a legislative framework for AI.(02:14) The significance of the MLOps community in AI...2023-12-0837 min
MLOps Weekly PodcastMLOps Week 22: Decoding RAG and Embeddings with Demetrios BrinkmannFor Episode 22 of the MLOps Weekly Podcast, Simba sits down with Demetrios Brinkmann, Founder of MLOps Community. They dive deep into the world of embeddings, vector databases, and why AI sometimes feels like ordering too much avocado toast. Tune in for a blend of MLOps wisdom, a sprinkle of humor, and a dash of existential AI crisis!2023-09-1240 minChangelog Master FeedFine-tuning vs RAG (Practical AI #238)In this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads.
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Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn mor...2023-09-0658 minPractical AIFine-tuning vs RAGIn this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads.Join the discussionChangelog++ members save 1 minute on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fa...2023-09-0658 min
Open||Source||DataML Engineering Teams and Niche Chat Bot Experiences with Demetrios BrinkmannThis episode features an interview with Demetrios Brinkmann, Founder of the MLOps Community, an organization for people to share best practices around MLOps. Demetrios fell into the Machine Learning Operations world and has since interviewed leading names around MLOps, data science, and machine learning. In this episode, Sam sits down with Demetrios to discuss LLM in production use cases, ML engineering teams, and the LLM Survey Report from the MLOps Community.-------------------"I think the most novel ones that I saw from the survey were when a chat bot would prompt a human a...2023-07-2650 min
MLOps.community[Bonus Episode] Practical AI x MLOps // Demetrios Brinkmann, Mihail Eric, Daniel Whitenack and Chris BensonWorlds are colliding! This week we join forces with the hosts of the Practical AI podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.
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2023-04-0758 min
MLOps.communityLarge Language Models in Production Round-table ConversationLLM in Production Round Table with Demetrios Brinkmann, Diego Oppenheimer, David Hershey, Hannes Hapke, James Richards, and Rebecca Qian.
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Using LLM in production. That's right. Hype or here to stay? The conversation answers some of the questions that have been asked by our community members like; performance & cost of production, the difference in architectures, Reliability issues, and a bunch of random tangents. We have some heavy hitters for this event!
// MLOps Jobs board
https://mlops.pallet.xyz/jobs
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links
LLM in Production survey:
https://docs.google.com/forms/d/e/1...2023-03-2357 minPractical AIMLOps is alive and wellWorlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud pl...2023-02-0756 minChangelog Master FeedMLOps is alive and well (Practical AI #210)Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.
Discuss on Changelog News
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Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edg...2023-02-0756 min
Infinite Curiosity Pod with Prateek JoshiDemetrios Brinkmann and Vishnu Rachakonda on how they built the world's largest online hub for production Machine Learning practitionersDemetrios Brinkmann is one of the main organizers of the MLOps Community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveler who taught English as a second language to see the world and learn about new cultures. He fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and Machine Learning. Since diving into the nitty-gritty of ML Operations he felt a strong calling to explore the ethical issues surrounding AI/ML. When he is not conducting interviews, you can find him making...2022-05-1641 min
ContributorFeast with Willem PienaarEric Anderson (@ericmander) and Willem Pienaar (@willpienaar) talk about Feast, the open-source feature store for machine learning. Feature stores act as a bridge between models and data, and allow data scientists to ship features into production without the need for engineers. Willem co-created Feast at Gojek, and later teamed up with the folks at Tecton to back the project.
In this episode we discuss:
The value of feature stores in MLOps
What happens when you open-source too early
Why most open-source code has nothing to hide
Bringing an open-source project to an existing company
Good and...2022-05-1132 min
ContributorFeast with Willem PienaarEric Anderson (@ericmander) and Willem Pienaar (@willpienaar) talk about Feast, the open-source feature store for machine learning. Feature stores act as a bridge between models and data, and allow data scientists to ship features into production without the need for engineers. Willem co-created Feast at Gojek, and later teamed up with the folks at Tecton to back the project.
In this episode we discuss:
The value of feature stores in MLOps
What happens when you open-source too early
Why most open-source code has nothing to hide
Bringing an open-source project to an existing company
Good and...2022-05-1132 min
Data Engineering PodcastWhat Does It Really Mean To Do MLOps And What Is The Data Engineer's Role?Summary
Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full lifecycle of data cleaning, training, deployment and monitoring. This requires a repeatable and evolvable set of processes to keep it functional. The term MLOps has been coined to encapsulate all of these principles and the broader data community is working to establish a set of best practices and useful guidelines for streamlining adoption. In this episode Demetrios Brinkmann and David Aponte share their perspectives on this rapidly changing space and what they have learned from their work...2022-04-161h 15