Culture and Architecture in MLOps // Jet Basrawi // MLOps Coffee Sessions #29

MLOps.community · Beginner ·🏗️ Systems Design & Architecture ·5y ago
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 an 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 has 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 like him. The challenges of MLOps and all the things surrounding AI delivery is a great space to work in. At about the time Jet got into AI the MLops community began, and it was a great experience to come on the journey with Demetrios who was uncovering topics in parallel to him. It was uncanny that each week Demetrios would run a meetup that dealt with exactly the topics he has been trying to reason about. Jet is very interested in culture and architecture and looking forward to exploring this subject in conversation. ----------- ✌️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 Catch all episodes, Feature Store, Machine Learning Monitoring and Blogs: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/ Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/ Connect with Jet on LinkedIn: https://www.linkedin.com/in/jet-basrawi-4b9ab43/ Timestamps: [00:00] Introduction to Jet Basrawi [01:24] Jet's take on MLOps [02:00] "MLOps - the real Kung fu's in the future" Jet [02:35] Jet's different opinion on "Tooling is the biggest piece in MLOps". [04:23] MLOps is a way of life. It's a lifestyle. It's not just tooling. [04:38] Why do you have to move over to the cultural side and
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23 Hybrid Data Science Teams @SurveyMonkey
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25 Doing ML with Personal Information
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27 Developing a Machine Learning Feature Store
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28 Auto retrain ML models is not the question
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29 3 key parts to Machine Learning monitoring
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