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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)

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All Episodes

00:51:35

The Godfather Of MLOps // D. Sculley // MLOps Coffee...

MLOps.community ·

2021/03/23

Coffee Sessions #32 with D. Sculley of Google, The Godfather Of MLOps. //Bio D is currently a director in Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his time at Google, D worked on nearly every aspect of machine learning, and have led both product and research teams including those on some of the most challenging business problems. // Links to D. Sculley's Papers ML Test Score: https://research.google/pubs/pub46555/ Machine Learning:

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01:05:03

Operationalizing Machine Learning at a Large...

MLOps.community ·

2021/03/19

MLOps community meetup #56! Last Wednesday we talked to Daniel Stahl, Head of Data and Analytic Platforms, Regions Bank. // Abstract: The Data Science practice has evolved significantly at Regions, with a corresponding need to scale and operationalize machine learning models. Additionally, highly regulated industries such as finance require a heightened focus on reproducibility, documentation, and model controls. In this session with Daniel Stahl, we will discuss how the Regions team designed and

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00:57:55

How to Avoid Suffering in Mlops/Data Engineering Role...

MLOps.community ·

2021/03/12

MLOps community meetup #55! Last Wednesday we talked to Igor Lushchyk, Data Engineer, Adyen. // Abstract: Building Data Science and Machine Learning platforms at a scale-up. Having the main difficulty in finding correct processes and basically being a toddler who learns how to walk on a steep staircase. The transition from homegrown platform to open source solutions, supporting old solutions and maturing them with making data scientists happy. // Bio: Igor is a software engineer with more than

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00:57:55

Product Management in Machine Learning // Laszlo...

MLOps.community ·

2021/03/05

MLOps community meetup #54! Last Wednesday we talked to Laszlo Sragner, Founder, Hypergolic. // Abstract: How my experience in quant finance and software engineering influenced how we ran ML at a London Fintech Startup. How to solve business problems with incremental ML? What's the difference between academic and industrial ML? // Bio: Laszlo worked as a quant researcher at multiple investment managers and as a DS at the world's largest mobile gaming company. As Head of Data Science at Arkera, he

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01:04:26

MLOps Engineering Labs Recap // Part 2 // MLOps...

MLOps.community ·

2021/03/02

This is a deep dive into the most recent MLOps Engineering Labs from the point of view of Team 3. // Diagram Link: https://github.com/dmangonakis/mlops-lab-example-yelp --------------- ✌️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 Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Laszlo on LinkedIn

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00:56:56

How Explainable AI is Critical to Building...

MLOps.community ·

2021/03/01

MLOps community meetup #53! Last Wednesday we talked to Krishna Gade, CEO & Co-Founder, Fiddler AI. // Abstract: Training and deploying ML models have become relatively fast and cheap, but with the rise of ML use cases, more companies and practitioners face the challenge of building “Responsible AI.” One of the barriers they encounter is increasing transparency across the entire AI lifecycle to not only better understand predictions, but also to find problem drivers. In this session with

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00:59:38

MLOps Engineering Labs Recap // Part 1 // MLOps...

MLOps.community ·

2021/02/23

This is a deep dive into the most recent MLOps Engineering Labs from the point of view of Team 1. // Diagram Link: https://github.com/mlops-labs-team1/engineering.labs#workflow --------------- ✌️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 Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Alexey on LinkedIn:

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00:57:50

'Git for Data' - Who, What, How and Why? // Luke...

MLOps.community ·

2021/02/19

MLOps community meetup #52! Last Wednesday we talked to Luke Feeney and Gavin Mendel-Gleason, TerminusDB. // Abstract: A look at the open-source 'Git for Data' landscape with a focus on how the various tools fit into the pipeline. Following that scene-setting, we will delve into how and why TerminusDB builds a revision control database from the ground up. // Takeaways - Understanding the 'git for data' offering and landscape - See how to technically approach a revision control database

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01:06:54

Agile AI Ethics: Balancing Short Term Value with Long...

MLOps.community ·

2021/02/12

MLOps community meetup #51! Last Wednesday we talked to Pamela Jasper, AI Ethicist, Founder, Jasper Consulting Inc. // Abstract: One of the challenges to the widespread adoption of AI Ethics is not only its integration with MLOps, but the added processes to embed ethical principles will slow and impede Innovation. I will discuss ways in which DS and ML teams can adopt Agile practices for Responsible AI. // Bio: Pamela M. Jasper, PMP is a global financial services technology leader with over 30

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00:53:53

Culture and Architecture in MLOps // Jet Basrawi //...

MLOps.community ·

2021/02/08

Coffee Sessions #29 with Jet Basrawi of Satalia, Culture and Architecture in MLOps. //Bio Jet started his career in technology as a game designer but became interested in programming. He found he loved it. It was endlessly challenging and deeply enjoyable "Flow" activity. It was also nice to be in demand and earn a living. In the last several years, Jet been passionate about DevOps as a key strategic practice. About a year ago, he came into the AI world and it is a great place to be for someone

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00:56:43

2 tools to get you 90% operational // Michael Del...

MLOps.community ·

2021/02/05

MLOps community meetup #50! Last Wednesday we talked to Michael Del Balso, Willem Pienaar and David Aronchick, // 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

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00:56:46

Machine Learning Design Patterns for MLOps //...

MLOps.community ·

2021/02/02

MLOps community meetup #49! Last Wednesday we talked to Lak Lakshmanan, Data Analytics and AI Solutions, Google Cloud. // Abstract: Design patterns are formalized best practices to solve common problems when designing a software system. As machine learning moves from being a research discipline to a software one, it is useful to catalogue tried-and-proven methods to help engineers tackle frequently occurring problems that crop up during the ML process. In this talk, I will cover five patterns

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01:04:37

Lessons Learned From Hosting the Machine Learning...

MLOps.community ·

2021/01/29

Coffee Sessions #28 with Charlie You of Workday, Lessons learned from hosting the Machine Learning Engineered podcast //Bio Charlie You is a Machine Learning Engineer at Workday and the host of ML Engineered, a long-form interview podcast aiming to help listeners bring AI out of the lab and into products that people love. He holds a B.S. in Computer Science from Rensselaer Polytechnic Institute and previously worked for AWS AI. Charlie is currently working as a Machine Learning Engineer at

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00:58:48

Practical MLOps // Noah Gift // MLOps Coffee Sessions...

MLOps.community ·

2021/01/26

Coffee Sessions #27 with Noah Gift of Pragmatic AI Labs, Practical MLOps // A “Gift” from Above This week, Demetrios and Vishnu got to spend time with inimitable Noah Gift. Noah is a data science educator, who teaches at Duke, Northwestern, and many other universities, as well as a technical leader through his company Pragmatic AI Labs and past companies. His bio alone would take up this section of the newsletter, so we invite you to check it out here, as well as the rest of his educational content

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00:56:17

Serving ML Models at a High Scale with Low Latency //...

MLOps.community ·

2021/01/24

MLOps community meetup #48! Last Wednesday, we talked to Manoj Agarwal, Software Architect at Salesforce. // Abstract: Serving machine learning models is a scalability challenge at many companies. Most applications require a small number of machine learning models (often < 100) to serve predictions. On the other hand, cloud platforms that support model serving, though they support hundreds of thousands of models, provision separate hardware for different customers. Salesforce has a unique

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00:41:36

When Machine Learning meets privacy - Episode 9

MLOps.community ·

2021/01/21

**Private data, Data Science friendly** Data Scientists are always eager to get their hands on more data, in particular, if that data has any value that can be extracted. Nevertheless, in real-world situations, data does not exist in the abundance that we thought existed, in other situations, the data might exist, but not possible to share it with different entities due to privacy concerns, which makes the work of data scientists not only hard, but sometimes even impossible. // Abstract: In the last

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01:05:31

Machine Learning Feature Store Panel Discussion //...

MLOps.community ·

2021/01/19

Coffee Sessions #26 with Vishnu Rachakonda of Tesseract Health, Daniel Galinkin of iFood, Matias Dominguez of Rappi & Simarpal Khaira of Intuit, Feature Store Master Class. //Bio Vishnu Rachakonda Machine Learning Engineer at Tesseract Health. Coffee sessions co-host but this time his role is one of the all-stars guest speakers. Daniel Galinkin One of the co-founders of Hekima, one of the first companies in Brazil to work with big data and data science, with over 10 years of experience in the

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00:50:56

ProductizeML: Assisting Your Team to Better Build ML...

MLOps.community ·

2021/01/18

MLOps community meetup #47! Last Wednesday, we talked to AdriàRomero, Founder and Instructor at ProductizeML. // Abstract: In this talk, we tackled: - Motivations and mission behind ProductizeML. - Common friction points and miscommunication between technical and management/product teams, and how to bridge these gaps. - How to define ML product roadmaps, (and more importantly, how to get it signed off by all your team). - Best practices when managing the end-to-end ML lifecycle. / Takeaways: -

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00:29:20

When Machine Learning meets privacy - Episode 8

MLOps.community ·

2021/01/14

The revolution of Federated Learning - And we're back with another episode of the podcast When Machine Learning meets Privacy! For the episode #8 we've invited Ramen Dutta, a member of our community and founder of TensoAI. // Abstract: In this episode, Ramen explain us the concept behind Federated Learning, all the amazing benefits and it's applications in different industries, particularly in agriculture. It's all about not centralizing the data, sound awkward? Just listen to the episode. //Other

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00:54:08

Most Underrated MLOps Topics // Marian Ignev MLOps //...

MLOps.community ·

2021/01/12

Coffee Sessions #25 with Marian Ignev of CloudStrap.io & SashiDo.io, Most Underrated MLOps Topics. //Bio Marian a passionate entrepreneur, backend dude & visionary. These are the three main things described to Marian very well: Marian's everyday routines include making things happen and motivating people to work hard and learn all the time because I think success is a marathon, not just a sprint! Marian loves to communicate with bright creative minds who want to change things. His favorite

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514 results

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