Shows
MLOps.communityHard Learned Lessons from Over a Decade in AITecton Founder and CEO Mike Del Balso talks about what ML/AI use cases are core components generating Millions in revenue. Demetrios and Mike go through the maturity curve that predictive Machine Learning use cases have gone through over the past 5 years, and why a feature store is a primary component of an ML stack.// BioMike Del Balso is the CEO and co-founder of Tecton, where he’s building the industry’s first feature platform for real-time ML. Before Tecton, Mike co-created the Uber Michelangelo ML platform. He was also a produc...
2025-06-0648 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// AbstractUber'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...
2024-06-0735 min
MLOps.communityThe Future of Feature Stores and Platforms // Mike Del Balso & Josh Wills // # 186MLOps podcast #186 with Mike Del Balso, CEO & Co-founder of Tecton and Josh Wills, Angel Investor, The Future of Feature Stores and Platforms.// AbstractMike and Josh discuss creating templates and working at a detailed level, exploring Tecton's potential for sharing fraud and third-party features. They focus on technical aspects like data handling and optimizing models, emphasizing the significance of quality data for AI systems and the necessity for cohesive feature infrastructure in reaching production stages.// BioMike Del BalsoMike is the co-founder...
2023-10-311h 11
MLOps.communityGriffin, ML Platform at Instacart // Sahil Khanna // MLOps Podcast #145MLOps Coffee Sessions #145 with Sahil Khanna, Griffin, ML platform at Instacart, co-hosted by Mike Del Balso.// Abstract The conversation revolves around the journey of Instacart in implementing machine learning, starting from batch processing to real-time processing. The speaker highlights the importance of real-time processing for businesses and the relevance of Instacart's journey to other machine learning teams. Sahil emphasizes the soft factors, such as staying customer-focused and the right approach, that contributed to the success of Instacart's machine learning implementation. We also recommend two blog posts by Sahil about Instacart's journey.// Bi...
2023-02-1445 min
MLOps.communityLet's Continue Bundling into the Database // Ethan Rosenthal // MLOps Coffee Sessions #131MLOps Coffee Sessions #131 {Podcast BTS} with Ethan Rosenthal, Let's Continue Bundling into the Database, co-hosted by Mike Del Balso.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// Abstract The relationship between ML Engineers and Product Managers is something that we don't talk about enough. We've got to get this right. If we don't get this right, either you're not focusing on the business problems in the right way, or the Product Managers are not going to understand the tech appropriately to help make the right decisions.// Bio Ethan works on the Conversations Team at Square leading a team of Artificial Intelligence Engineers. Ethan's team builds applied AI solutions for Square Messages, a messaging hub for Square merchants to communicate with their customers. Prior to Square, Ethan spent time as a freelance data science consultant building machine learning products for a range of companies, from pre-seed startups to Fortune 100 enterprises. Ethan got his start in data science working at two different e-commerce startups, Birchbox and Dia&Co. Before data science, Ethan was an actual scientist and got his Ph.D. in experimental physics from Columbia University.// MLOps Jobs board jobs.mlops.community // MLOps Swag/Merch https://mlops-community.myshopify.com/// Related Links https://www.ethanrosenthal.com/Relevant blog posts: https://www.ethanrosenthal.com/2022/05/10/database-bundling/ https://www.ethanrosenthal.com/2022/07/19/materialize-ml-monitoring/ https://www.ethanrosenthal.com/2022/01/18/autoretraining-is-easy/--------------
2022-11-0851 min
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Feature Platforms for Data-Centric AI with Mike Del BalsoIn the latest installment of our Data-Centric AI series, we’re joined by a friend of the show Mike Del Balso, Co-founder and CEO of Tecton. If you’ve heard any of our other conversations with Mike, you know we spend a lot of time discussing feature stores, or as he now refers to them, feature platforms. We explore the current complexity of data infrastructure broadly and how that has changed over the last five years, as well as the maturation of streaming data platforms. We discuss the wide vs deep paradox that exists around ML tooling, and the idea...
2022-06-0646 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
MLOps.communityThe Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // Coffee Sessions #57Coffee Sessions #57 with Michael Del Balso and Erik Bernhardsson, The Future of ML and Data Platforms.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractMachine learning, data analytics, and software engineering are converging as data-intensive systems become more ubiquitous. Erik Bernhardsson, ex-CTO at Better and former Spotify machine learning lead, and Mike Del Balso, CEO at Tecton and former Uber machine learning lead and co-creator of Michelangelo, sit down to chat with us today. These two jammed with us about building machine learning platform systems and teams, the modern operational data stack, and how it allows more machine learning applications to thrive, and how to successfully take advantage of data in the process of building products and companies.// BioMichael Del BalsoMike is the co-founder of Tecton, where he is focused on building next-generation data infrastructure for Operational ML. Before Tecton, Mike was the PM lead for the Uber Michelangelo ML platform. He was also a product manager at Google, where he managed the core ML systems that power Google’s Search Ads business. Previous to that, he worked on Google Maps. He holds a BSc in Electrical and Compute...
2021-10-0155 min
Software Engineering Radio - the podcast for professional software developersEpisode 473: Mike Del Balso on Feature StoresMike Del Balso, co-founder of Tecton discusses Feature Stores which are data platforms to operationalize Machine Learning applications. He talks about challenges faced by teams in creating custom data pipelines to serve models in production...
2021-08-1755 minSoftware Engineering Radio - The Podcast for Professional Software DevelopersEpisode 473: Mike Del Balso on Feature StoresMike Del Balso, co-founder of Tecton discusses Feature Stores which are data platforms to operationalize Machine Learning applications. He talks about challenges faced by teams in creating custom data pipelines to serve models in production...
2021-08-1755 minSoftware Engineering Radio - the podcast for professional software developersEpisode 473: Mike Del Balso on Feature StoresMike Del Balso, co-founder of Tecton discusses Feature Stores which are data platforms to operationalize Machine Learning applications. He talks about challenges faced by teams in creating custom data pipelines to serve models in production...
2021-08-1755 min
MLOps.community2 tools to get you 90% operational // Michael Del Balso - Willem Pienaar - David Aronchick // MLOps Meetup #50MLOps community meetup #50! Last Wednesday, we talked to Michael Del Balso, Willem Pienaar, and David Aronchick.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// Abstract:The MLOps tooling landscape is confusing. There’s a complicated patchwork of products and open-source software that each cover some subset of the infrastructure requirements to get ML to production. In this session, we’ll focus on the two most important platforms: model management platforms and feature stores. Model management platforms such as Kubeflow help you get models to production quickly and reliably. Feature stores help you easily build, use, and deploy features. Together, they cover requirements to get models and data to production - the two most important components of any ML project. In this panel discussion, we’ll be joined by David Aronchick (Co-Founder of Kubeflow), Mike Del Balso (Co-Founder of Tecton), and Willem Pienaar (Creator of Feast). These experts will share their perspec...
2021-02-0556 min
The CloudcastGreat Data Models Need Great FeaturesMike Del Balso (@mikedelbalso, CEO at @TectonAI) talks about lessons learned from Uber’s Michelangelo ML platform, enabling DevOps for ML data, and how Tecton enables features for data models. SHOW: 477SHOW SPONSOR LINKS:Learn more about Fauna: https://www.fauna.com/serverlessTry FaunaDB for Free: https://dashboard.fauna.com/accounts/registerCloudAcademy -Build hands-on technical skills. Get measurable results. Get 50% of the monthly price of CloudAcademy by using code CLOUDCASTDatadog Security Monitoring Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podc...
2020-11-2535 min
The Python Podcast.__init__Scale Your Data Science Teams With Machine Learning Operations PrinciplesSummary
Building a machine learning model is a process that requires well curated and cleaned data and a lot of experimentation. Doing it repeatably and at scale with a team requires a way to share your discoveries with your teammates. This has led to a new set of operational ML platforms. In this episode Michael Del Balso shares the lessons that he learned from building the platform at Uber for putting machine learning into production. He also explains how the feature store is becoming the core abstraction for data teams to collaborate on building machine learning models...
2020-11-1751 min
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Feature Stores for MLOps with Mike del BalsoToday we’re joined by Mike del Balso, co-Founder and CEO of Tecton. Mike, who you might remember from our last conversation on the podcast, was a foundational member of the Uber team that created their ML platform, Michelangelo. Since his departure from the company in 2018, he has been busy building up Tecton, and their enterprise feature store. In our conversation, Mike walks us through why he chose to focus on the feature store aspects of the machine learning platform, the journey, personal and otherwise, to operationalizing machine learning, and the capabilities that more mature plat...
2020-10-1945 min
Practical AIUBER and Intel’s Machine Learning platformsWe recently met up with Cormac Brick (Intel) and Mike Del Balso (Uber) at O’Reilly AI in SF. As the director of machine intelligence in Intel’s Movidius group, Cormac is an expert in porting deep learning models to all sorts of embedded devices (cameras, robots, drones, etc.). He helped us understand some of the techniques for developing portable networks to maximize performance on different compute architectures.
In our discussion with Mike, we talked about the ins and outs of Michelangelo, Uber’s machine learning platform, which he manages. He also described why it was necessary for Ub...
2018-11-1928 min
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115In this episode, I speak with Mike Del Balso, Product Manager for Machine Learning Platforms at Uber. Mike and I sat down last fall at the Georgian Partners Portfolio conference to discuss his presentation “Finding success with machine learning in your company.” In our discussion, Mike shares some great advice for organizations looking to get value out of machine learning. He also details some of the pitfalls companies run into, such as not have proper infrastructure in place for maintenance and monitoring, not managing their expectations, and not putting the right tools in place for data science and development teams. On t...
2018-03-0149 min