Shows
MLOps.communityGPU Considerations, Labeling Privacy, Rapid Fine Tuning, and the Role of Private Eval Pipelines to Benchmark New ModelsAgents 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 speakers:Paul van...2025-08-0955 min
MLOps.communityThe Hidden Bottlenecks Slowing Down AI AgentsDemetrios chats with Paul van der Boor and Bruce Martens from Process 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...2025-08-0547 min
MLOps.community9 Commandments for Building AI AgentsBuilding 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 - Senior Director of Data Science at Prosus Grou...2025-08-011h 20
MLOps.communityEnterprise AI Adoption ChallengesBuilding 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 van der Boor - VP...2025-07-291h 05
Alexa's Input (AI)Economics of AI Agents with Demetrios Brinkmann of MLOps CommunityOn this episode of Alexa’s Input (AI) with Demetrios Brinkmann, leader of the ML Ops Community, talks about the rise of AI agents, why real communities matter more than influencer hype, and how AI’s economics are shifting in surprising ways. We dive into what makes agent UX so tricky, why the cost of AI answers is going up even as token prices fall, and why 2025 is the “year of the agent.” Demetrios also shares advice on creating real impact in AI today - and why now’s the time to share your expertise.You can now watch...2025-05-051h 01
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
Going Deepear Into Dev Marketing#1 [Interview] Building developer communities of craft with Demetrios BrinkmannDemetrios Brinkmann created one of the biggest and most vibrant developer communities that I've seen, MLOps Community. He shares learnings on how he did that and what he'd do differently. Incredible resource for dev tool community managers and founders. LinksDemetrios Brinkmann LinkedInMLOps CommunityTakeawaysGet to know people: when people join just talk to them, get to know them, do a 15-minute chat to learn what they want to get from the community, what their expertise is, where they can chip in etc.Tag a...2025-04-241h 34
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 Group2025-02-2853 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 de...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 Engi...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 elusive
Why limiting scope is the key to success in agentic workflows
The growing challenge of AI governance as tools proliferate across organizations
A provocative discussion on the societal implications of hacking l...2025-01-161h 22The 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 elusive
Why limiting scope is the key to success in agentic workflows
The growing challenge of AI governance as tools proliferate across organizations
A provocative discussion on the societal implications of hacking l...2025-01-161h 22
Let's Talk AI#76 - MLOps, Agents, Productivity, Podcasting & Voice Agents with Demetrios Brinkmann🎙️ Who is Demetrios Brinkmann?Demetrios Brinkmann is the Founder and CEO of the MLOps Community, and also serves as a Conference Host. He is an expert in AI implementation for technical & non-technical professionals and has extensive knowledge of workflow optimization and AI automation. He has a passion for helping people find joy in AI implementation, and believes in augmenting expertise with AI instead of replacing it. Demetrios is also skilled in optimizing productivity through human-AI collaboration and effective decision-making.💡 In this episode...... we discuss AI incorporation and workflow optimization. Demetrios shares h...2024-09-041h 12
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.// AbstractDemetrios 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.// BioAt the moment Demetrios is immersing himself in Machine Learning by interviewing experts...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
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
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
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.
// Abstract
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
RegulatingAI Podcast: 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 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 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 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.
--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
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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.
// Abstract
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
Changelog++ 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 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
Ken's Nearest NeighborsGrowing the Biggest ML Ops Community From Abroad (Demetrios Brinkmann) - KNN Ep. 88Today I had the pleasure of interviewing Demetrios Brinkmann. Demetrios 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. Brinkmann 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. He loves how communities tick...2022-03-021h 05
The Community ExperienceDo Things That Don’t Scale with Demetrios Brinkmann of MLOps Community#028 Demetrios Brinkmann has built his niche online community for machine learning operations (MLOps) pros in a really interesting way. He's managed to foster a sustainable space where people are excited about connecting and sharing value, where sponsors have a place (but spam is kept to the sidelines!), and—oh yeah—it's free to join. In today's episode, you'll learn how Demetrios balances multiple tools to pull his community together without creating overwhelm or confusion, the nifty onboarding sequence Demetrios created that helps keep spammers in check, and how he landed on just the right monetization scheme. Show notes and more...2022-02-2248 min
MLOps.community2021 MLOps Year in Review // Vishnu Rachakonda and Demetrios Brinkmann // MLOps Coffee Sessions #72MLOps Coffee Sessions #72 with Vishnu Rachakonda and Demetrios Brinkmann, 2021 MLOps Year in Review.
// Abstract
Vishnu and Demetrios sit down to reflect on some of the biggest news and learnings from 2021 from the biggest funding rounds to best insights. The two finish out the chat by talking about what to expect in 2022.
// Bio
Demetrios Brinkmann
At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from...2022-01-0351 min
The Feast Podcast - MLOps Open Source Feature StoresKeeping Feast Simple with Danny Chiao // Feast Feature StoreDanny Chiao is an engineering lead at Tecton/Feast Inc working on building a next-generation feature store. Previously, Danny was a technical lead at Google working on end to end machine learning problems within Google Workspace, helping build privacy-aware ML platforms / data pipelines and working with research and product teams to deliver large-scale ML powered enterprise functionality. Danny holds a Bachelor’s degree in Computer Science from MIT.In this session Danny tells Demetrios Brinkmann from the MLOps Community how he works with the Feast Community to drive design decisions. He gives some hot takes on how wo...2021-12-1448 min
Adventures in Machine LearningThe MLOps Community with Demetrios Brinkmann - ML048Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online meetups. He goes into the community, moderation, running meetups, sponsorships, and much more. Panel Ben WilsonCharles Max WoodFrancois Bertrand Guest Demetrios Brinkmann Sponsors Dev Influencers AcceleratorLevel Up | Devchat.tvPodcastBootcamp.io Links MLOps CommunityTwitter: mlopscommunity ( @mlopscommunity )LinkedIn: Demetrios BrinkmannTwitter: Demetrios ( @Dpbrinkm ) Picks Ben- MLFlowCharles- Tribe of MillionairesCharles- Top End DevsDemetrios- Make Noise: A Creator's Guide to Podcasting and Great Audio StorytellingDemetrios- Out on the WireDemetrios- Radiolab: Podcasts Contact Ben: DatabricksGitHub | BenWilson2/ML-EngineeringGitHub | databrickslabs/automl-toolkitLinkedIn: Benjamin Wilson Contact Charles: Devchat.tvDevChat.tv | FacebookTwitter: DevChat...2021-10-0757 minThe Feast Podcast - MLOps Open Source Feature StoresFeast's Vision For the FutureIn this episode Jay Parthasarthy sat down to talk with Demetrios Brinkmann about the vision for Feast and what a Product Manager does for the Feast ecosystem. If you would like to share your story with us about how you are using Feast, get in touch!For more info about feature stores check out the Tecton blog or have a look at the Feast websiteJoin the Tecton/Feast slack channel to speak with like-minded engineers.Connect with Jay on LinkedIn or TwitterConnect with Demetrios On LinkedInFollow F...2021-09-0949 min
MLOps.communityMLOps Insights // David Aponte-Demetrios Brinkmann-Vishnu Rachakonda // MLOps Coffee Sessions #53Coffee Sessions #53 with David Aponte, Demetrios Brinkmann, and Vishnu Rachakonda, MLOps Insights.
//Abstract
MLOps Insights from MLOps community core organizers Demetrios Brinkmann, Vishnu Rachakonda, and David Aponte. In this conversation the guys do a deep dive on testing with respect to MLOps, talk about what they have learned recently around the ML field, and what new things are happening with the MLOps community.
//Bio
David Aponte
David is one of the organizers of the MLOps Community. He is an engineer, teacher, and lifelong student. He loves to build solutions to tough problems...2021-09-0737 min
The Feast Podcast - MLOps Open Source Feature StoresMLOps Platform TeamsOleksii Moskalenko joins Demetrios Brinkmann to talk about how the team at Gojek is using Feast. Some of the main work Oleksii is doing is on the platform team. This episode centers around what his team focuses on when enabling data scientist, and what some of the main use ML cases are at Gojek.Oleksii is currently an Engineering Lead at Gojek's Data Science Platform, leading the Feature Store development. Prior to that he was Algorithm Engineer working on productionizing deep learning (computational photography) models at Wix. Moskalenko's main focus is helping to convert academia's accomplishments in...2021-07-1957 min
Utilizing Tech: The Podcast Series About Emerging Technology2x27: How the ML Community Has Evolved in 2021 with Demetrios Brinkmann and David AponteThe MLOps community has grown dramatically recently, with security, a data-centric approach, ethical implications, and a growing and diverse community rising in 2021. In this episode, MLOps Community managers Demetrios Brinkmann and David Aponte join Steph Locke and Stephen Foskett to discuss what has changed over the last year. It seems that a new ML company is launching every week, and the MLOps Community provides a great way to learn about these. We are also seeing a push and pull between open source and cloud platforms, and concern about lock-in and technical debt. Data science and machine learning are merging...2021-07-0651 min
The Georgian Impact Podcast | AI, ML & MoreML Ops with Demetrios Brinkmann and David AponteIn this new world of machine learning and AI, where data basically writes code and algorithms, MLOps has developed into something broad and very important. So much so that a huge community has developed around this space.David Aponte and Demetrios Brinkmann are our guests on this episode of the Georgian Impact Podcast. David is a Software Engineer at Microsoft with a focus on MLOps. Demetrios is the Community Coordinator for the MLOps Community and also works in the ethical AI space. Together they will break down MLOps and why it is so important.2021-05-1425 minThe Feast Podcast - MLOps Open Source Feature StoresFeast On-Prem - Modifications and customizationsFeast creator Willem Pinaar and MLOps community organizer Demetrios Brinkmann are joined in this episode by Joost Rothweiler of Adyen. The episode dives into their on-prem use case and how the MLOps platform team at Adyen decided on using Feast for their feature store.Bio:Joost Rothweiler leads the machine learning platform team at Adyen. His team is concerned with helping data scientists in the organization deliver value from machine learning by enabling them to iterate quickly and release new models with confidence. Joost has been involved with building out the machine learning infrastructure from the...2021-05-1053 min
ML Minutes15 - MLOps with Demetrios BrinkmannWant to learn how to lose $40,000? One company inadvertently did— by embracing infinite storage and compute without guardrails, an oversight that could have been solved with MLOps.Sometimes defined as “DevOps for ML”, MLOps encompasses everything from the hardware and software on which machine learning is done to the governance and ethics associated with deployment.Demetrios Brinkmann, coordinator of the MLOps community and host of a number of fantastic AI podcasts, came in to discuss how we should be evaluating models throughout their life cycle. He also introduced a completely unique way to gamify feature stores...2021-04-1415 min
MLOps.communityMLOps Community 1 Year Anniversary! // Demetrios Brinkmann, David Aponte & Vishnu Rachakonda // MLOps Meetup #59MLOps community meetup #59! Last Wednesday was the celebration of the MLOps Community 1 Year Anniversary! This has been a conversion of Demetrios Brinkmann, David Aponte and Vishnu Rachkonda!
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Over the past year Demetrios, David and Vishnu have interviewed many of the top names in MLOps. During this time they have been able to apply these learnings at their jobs and see what works for them. In this one year anniversary meetup the three of them will discuss some of the most impacting advice they have received in the last year and how they have put it...2021-04-0959 min
DataTalks.ClubBuilding Online Tech Communities - Demetrios BrinkmannWe talked about:
Demetrious’ background and starting the MLOps community
Growing MLOps community
Community moderations and dealing with problems
Becoming a community and connecting with people
Feeling belonged
Managing a community as an introvert
Keeping communities active
Doing custdev and talking to users
Random coffee and meeting with community members
Organizing community activities
Is community a business?
Five steps for starting a community in 2021
Shameless plug from Demetrious
Links:
https://mlops.community/
Join DataTalks.Club: https://datatalks.club/slack.html2021-04-021h 13
Utilizing Tech: The Podcast Series About Emerging Technology01x11: Is Kubeflow the Real Deal? Featuring David Aponte and Demetrios BrinkmannDavid Aponte and Demetrios Brinkmann discuss the future of Kubeflow with Stephen Foskett and Andy Thurai. Kubeflow is getting a lot of attention, but contributions and community seem to be lagging. Is this really the future of machine learning or just another dead-end open source project? Will product vendors pile on top, redirect the project, or kill development? The open source community tends to gravitate to quality projects, and it will develop Kubeflow (or not) based on the usefulness of the solution.Episode Hosts and Guests David Aponte, Machine Learning Engineer. Find David online at LinkedIn...2020-11-0334 min
Utilizing Tech: The Podcast Series About Emerging Technology01x03: How is Machine Learning Affecting IT Operations with ML Ops CommunityStephen Foskett discusses practical aspects of enterprise AI with David Aponte and Demetrios Brinkmann. AI offers promise to help IT operations departments deal with the flood of data, since ML is so good at finding needles in haystacks. But is it true or just vendor hype? Are current vendors able to work in this space or do we need a new kind of product or vendor to develop AI models? Does the new data demand a different type of infrastructure? And how are AIOps related to DevOps?Find Stephen online at GestaltIT.com and on Twitter at...2020-09-0829 min
MLOps.communityMLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim DowlingWe asked what you wanted to hear next on our Coffee sessions and the vote was in favor of feature stores! Today the usual suspects Demetrios Brinkmann and David Aponte sat down to talk with Jim Dowling CEO of Logical Clocks and Venkata Pingali CEO of scribble data to talk about feature stores, what they are, why we need them, some business implications and everything in between!
As always if you enjoyed the session let us know or reach out to us in slack!
Check out what Jim is doing around hopsworks and open sourced feat...2020-07-261h 03
MLOps.communityMLOps Coffee Sessions #1: Serving Models with KubeflowMLOps coffee sessions coming at you with our primer episode talking bout kfserving! David Aponte and Demetrios Brinkmann dive deep into what model serving is in machine learning, what different types of serving there is, what serverless means, API endpoints, streaming and batch data and a bit of coffee vs tea banter.
||Show Notes||
ML in Production is Hard Blog article by Nikki: http://veekaybee.github.io/2020/06/09/ml-in-prod/?utm_campaign=Data_Elixir&utm_source=Data_Elixir_289
Interactive learning platform Katacoda: https://www.katacoda.com/
Github repo used in video: https://github.com/aponte411/demos...2020-06-1349 min
MLOps.communityMLOps.community meetup #8: Optimizing your ML workflow with Kubeflow 1.0 with Josh Bottom VP of ArriktoLinkedin, Spotify, Volvo, JP Morgan, and many other market leaders are leveraging Kubeflow to simplify the creation and the efficient deployment of Machine Learning models on Kubernetes. This presentation will provide an update on the Kubeflow 1.0 release, and review the Community’s best practices to support Critical User Journeys, which optimize ML workflows.
As a data scientist will often need to build (and save) hundreds of variants of their model, this session will provide a deeper dive into how an integrated storage solution simplifies model-building and increases ML productivity. The presentation will examine how to optimize the daily...2020-05-011h 04
MLOps.communityMLOps.community #5 - High Stakes ML: Latent Conditions and Active Failures with Flavio ClesioIn our 5th meetup, we spoke with the Brasilian ML Engineer Flavio Clesio.
Machine Learning Systems play a huge role in several businesses from the Banking industry to recommender systems in entertainment applications until health domains. The era of "A Data Scientist with a Script in a single machine" is officially over in high stakes ML.
We're entering an era of Machine Learning Operations (MLOps) where those critical applications that impact society and businesses need to be aware of aspects like active failures and latent conditions. This talk will discuss risk assessment in ML Systems...2020-04-1555 min
MLOps.communityMLOps.community #4 - Building an ML platform @SurveyMonkey with Shubhi JainMLOps Community Meetup #4 With Shubhi Jain
In the 4th online meetup for our MLOps.community We spoke with Shubhi Jain, Machine Learning Engineer and an all-around great guy!
Every organization is leveraging machine learning (ML) to provide increasing value to their customers and understand their business. You may have created models too. But, how do you scale this process now? In this case study, we looked at how to pinpoint inefficiencies in your ML data flow, how SurveyMonkey tackled this, and how to make your data more usable to accelerate ML model development.
Sh...2020-04-1058 min
MLOps.communityHierarchy of Machine Learning Needs // Phil Winder // MLOps Meetup #3MLOps community meetup #3! Last Wednesday we talked to Phil Winder, CEO, Winder Research.
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Phil Winder of Winder Research joined us for the 3rd instalment of our MLOps community meetup. In this clip taken from the long conversation, he speaks about why or why not he sees companies automating the retraining of Machine Learning Models. You can find the whole conversation here: https://www.youtube.com/watch?v=MRES5IxVnME
The topic of conversation for our virtual meetup was an in-depth look at a pyramid of software engineering best practices that built up to i...2020-04-0356 min