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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

01:01:37

Practical MLOps Part 2 // Alfredo Deza // MLOps...

MLOps.community ·

2021/06/05

MLOps community meetup #66! Last Wednesday we talked to Alfredo Deza, Author and Speaker. //Abstract In this episode, the MLOps community talks about the importance of bringing DevOps principles and discipline into Machine Learning. Alfredo explains insights around creating the MLOps role, automation, constant feedback loops, and the number one objective - to ship Machine Learning models into production. Additionally, we covered some aspects of getting started with Machine Learning that is

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00:54:30

Common Mistakes in the ML Development Lifecycle //...

MLOps.community ·

2021/06/01

MLOps community meetup #65! Last Wednesday we talked to Kseniia Melnikova, Product Owner (Data/AI), SoftwareOne. //Abstract In this MLOps Meetup, we talked about the Machine Learning model lifecycle and development stages and then analyze the main mistakes that everybody does at each stage. Kseniia also provided the audience with solutions to the mistakes and we discussed existing tools for experiment management. //Bio Kseniia is a product owner for Data/AI-based products. Right now, she is

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01:07:01

Model Performance Monitoring and Why You Need it...

MLOps.community ·

2021/06/01

Coffee Sessions #42 with Amit Paka of Fiddler AI, Model Performance Monitoring. //Abstract Machine Learning accelerates business growth but is prone to performance degradation due to its high reliance on data. Moreover, MLOps is often fragmented in many organizations, causing frictions to debug models in production. With new rules from the EU that focus on trust and transparency, it’s becoming more important to keep track of model performance. But how? We propose a new framework, a centralized ML

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00:50:36

CI/CD in MLOPS // Monmayuri Ray // MLOps Coffee...

MLOps.community ·

2021/05/27

Coffee Sessions #41 with Monmayuri Ray of Gitlab, CI/CD in MLOPS. //Abstract We all are familiar with the concept of MVP. In the world of DevOps, one is also familiar with Minimal Viable Feature and further Minimal Viable change. CI/CD is the orchestrator and the underlying base to enable automated experimentation, to start small, and build an idea for production. Now if we use the same fundamentals in MLOps, what does that mean? The podcast will take the audience on a journey in understanding the

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00:57:38

Operationalizing Machine Learning at Scale //...

MLOps.community ·

2021/05/25

MLOps community meetup #64! Last Wednesday we talked to Christopher Bergh, CEO, DataKitchen. //Abstract Working on a shared technically difficult problem there will be some things that are important no matter what industry you are in. Whether it's building cars in a factory, using agile or scrum methodology, or productionizing ML models you need a few basics. Chris gives us some of his best practices in the conversation. //Bio Chris Bergh is the CEO and Head Chef at DataKitchen. Chris has more

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00:52:08

Scaling AI in production // Srivatsan Srinivasan //...

MLOps.community ·

2021/05/21

Coffee Sessions #40 with Srivatsan Srinivasan of AIEngineering, Scaling AI in Production. //Abstract //Bio 20+ years of intense passion for building data-driven applications and products for top financial customers. Srivatsan has been a trusted advisor to a senior-level executive from business and technology, helping them with complex transformation in the data and analytics space. Srivatsan also run a YouTube Channel (AIEngineering) where he talks about data, AI and

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00:54:20

MLOps: A leader's perspective // Stephen Galsworthy...

MLOps.community ·

2021/05/18

Coffee Sessions #39 with Stephen Galsworthy of Quby, MLOps: A leader's perspective. //Abstract //Bio Dr. Stephen Galsworthy is a data leader skilled at building high-performing teams and passionate about developing data-powered products with lasting impact on users, businesses, and society. Most recently he was the Chief Data and Product Officer at Quby, an Amsterdam-based tech company offering data-driven energy services. He oversaw its transformation from a hardware-based business to a

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00:50:15

Learnings from Live Coding: An MLOps Project on...

MLOps.community ·

2021/05/14

MLOps community meetup #63! Last Wednesday we talked to Felipe Campos Penha, Senior Data Scientist, Cargill. //Abstract Can one learn anything useful by creating content online? The usual answer is a sounding YES. But what about live coding an MLOps project on Twitch? Can anything good come out of it? //Bio Felipe Penha creates content about Data Science regularly on the Data Science Bits channel on YouTube and Twitch. He has 8+ years of experience with hands-on data-related work, starting with

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00:56:22

Law of Diminishing Returns for Running AI...

MLOps.community ·

2021/05/10

MLOps community meetup #62! Last Wednesday we talked to Oguzhan Gencoglu, Co-founder & Head of AI, Top Data Science. //Abstract Starting the AI adoption with AI Proof-of-Concepts (PoCs) is the most common choice for most companies. Yet, a significant percentage of AI PoCs do not make it into production whether they were successful or not. Furthermore, running yet another AI PoC follows the law of diminishing returns in various aspects. This talk will revolve around this theme. //Bio Oguzhan

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00:54:39

Organisational Challenges of MLOps // Adam Sroka //...

MLOps.community ·

2021/05/07

Coffee Sessions #38 with Adam Sroka of Origami Energy, Organisational Challenges of MLOps. //Abstract Deploying data science solutions into production is challenging for both small and large organizations. From platform and tooling wars to architecture and design pattern trade-offs it can get overwhelming for inexperienced teams. Furthermore, many organizations will only go through the painful discovery process once. Adam will share some of his experiences from consulting and leading data teams to

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00:53:22

From Idea to Production ML // Lex Beattie - Michael...

MLOps.community ·

2021/05/03

MLOps community meetup #61! Last Wednesday we talked to Lex Beattie, Michael Munn, and Mike Moran. //Abstract We started out talking about some of the main bottlenecks they have encountered over the years of trying to push data products into production environments. Then things started to heat up as we dove into the topic of monitoring ML and inevitably the word explainability started being thrown around. Turns out Lex is currently doing a Ph.D. on the subject so there was much to talk about. We

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01:00:42

MLOps Memes // Ariel Biller // MLOps Coffee Sessions #37

MLOps.community ·

2021/04/30

Coffee Sessions #37 with Ariel Biller of ClearML, MLOps Memes. //Abstract The Meme king of MLOps joins us to talk about why we need more MLOps memes and how he got so damn good at being able to zoom out and see things from a metta level them make a meme about it! //Bio A researcher first, developer second, in the last 5 years Ariel worked on various projects from the realms of quantum chemistry, massively parallel supercomputing, and deep-learning computer vision. With AllegroAi, he helped build

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00:59:04

Luigi in Production Part 2 // Luigi Patruno // MLOps...

MLOps.community ·

2021/04/23

Coffee Sessions #36 with Luigi Patruno of 2U, Luigi in Production Part 2. //Abstract Learning Voraciously: We talk a lot in the community about how to learn and upskill in an efficient way. Luigi provided great insight into how he applies certain principles to his learning practices. One tip he shared is to rigorously read and digest books. Luigi himself has used books to address his knowledge gaps in areas like product, finance, etc. I appreciated the emphasis on books. A lot of the reason we

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00:51:02

War Stories Productionising ML // Nick Masca //...

MLOps.community ·

2021/04/19

Coffee Sessions #35 with Nick Masca of Marks and Spencer, War Stories Productionising ML. //Abstract A conversation with MLOps war stories. Better said, a war story conversation. The kind that informs modern MLOps best practices. Nick shared how to make MLOps organizational changes at large companies. I loved one tidbit he mentioned--"it's an evolution, not a revolution". That's a frank observation about the speed of practical change. As we all know it doesn't happen overnight. Another great

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00:57:57

Deploying Machine Learning Models at Scale in Cloud...

MLOps.community ·

2021/04/16

MLOps community meetup #60! Last Wednesday we talked to Vishnu Prathish, Director Of Engineering, AI Products, Innovyze. //Abstract The way Data Science is done is changing. Notebook sharing and collaboration were messy and there was minimal visibility or QA into the model deployment process. Vishnu will talk about building an ops platform that deploys hundreds of models at-scale every month. A platform that supports typical features of MLOps (CI/CD, Separated QA, Dev and PROD environment,

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00:58:34

Machine Learning at Atlassian // Geoff Sims // Coffee...

MLOps.community ·

2021/04/12

Coffee Sessions #34 with Geoff Sims of Atlassian, Machine Learning at Atlassian. //Abstract As one of the world's most visible software companies, Atlassian's vast data and deep product suite pose an interesting MLOps challenge, and we're grateful to Geoff for taking us behind the curtain. //Bio Geoff is a Principal Data Scientist at Atlassian, the software company behind Jira, Confluence & Trello. He works with the product teams and focuses on delivering smarter in-product experiences and

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00:59:28

MLOps Community 1 Year Anniversary! // Demetrios...

MLOps.community ·

2021/04/09

MLOps 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! //Abstract 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

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00:46:29

MLOps Investments // Sarah Catanzaro // Coffee...

MLOps.community ·

2021/04/06

Coffee Sessions #33 with Sarah Catanzaro of Amplify Partners, MLOps Investments. //Bio Sarah Catanzaro is a Partner at Amplify Partners, where she focuses on investing in and advising high potential startups in machine intelligence, data management, and distributed systems. Her investments at Amplify include startups like RunwayML, Maze Design, OctoML, and Metaphor Data among others. Sarah also has several years of experience defining data strategy and leading data science teams at startups and in

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00:53:13

Model Watching: Keeping Your Project in Production //...

MLOps.community ·

2021/04/04

MLOps community meetup #58! Last Wednesday we talked to Ben Wilson, Practice Lead Resident Solutions Architect, Databricks. Model Monitoring Deep Dive with the author of Machine Learning Engineering in Action. It was a pleasure getting to talk to Ben about difficulties in monitoring in machine learning. His expertise obviously comes from experience and as he said a few times in the meetup, I learned the hard way over 10 years as a data scientist so you don't have to! Ben was also kind enough to give

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00:56:08

A Missing Link in the ML Infrastructure Stack // Josh...

MLOps.community ·

2021/03/26

MLOps community meetup #57! Last Wednesday we talked to Josh Tobin, Founder, Stealth-Stage Startup. // Abstract: Machine learning is quickly becoming a product engineering discipline. Although several new categories of infrastructure and tools have emerged to help teams turn their models into production systems, doing so is still extremely challenging for most companies. In this talk, we survey the tooling landscape and point out several parts of the machine learning lifecycle that are still

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514 results

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