Continuous MLOps Pipelines with Itay Ben Haim
Podcast |
MLOps Live
Publisher |
neptune.ai
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Jan 18, 2023
Episode Duration |
00:52:28
In this episode of MLOps Live, Stephen is joined by Itay Ben Haim, a software team lead at Superwise. Itay discusses the advantages of automating an ML stack and how it can give data scientists more time to innovate and develop solutions that generate business value and provide businesses with faster deployment of machine learning-based solutions. They identified multiple maturity levels in organizations: level 0, level 1, and level 2 or 3. Moving from Level 0 to Level 1 requires new skills such as a DevOps background, configuration files, Kubernetes, workflow managers, metadata stores, and low-latency databases.
In this episode of MLOps Live, Stephen is joined by Itay Ben Haim, a software team lead at Superwise. Itay discusses the advantages of automating an ML stack and how it can give data scientists more time to innovate and develop solutions that generate business value and provide businesses with faster deployment of machine learning-based solutions. They identified multiple maturity levels in organizations: level 0, level 1, and level 2 or 3. Moving from Level 0 to Level 1 requires new skills such as a DevOps background, configuration files, Kubernetes, workflow managers, metadata stores, and low-latency databases.
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Previous guests include: Andy McMahon of NatWest Group, Jacopo Tagliabue of Coveo, Adam Sroka of Origami, Amber Roberts of Arize AI, Michal Tadeusiak of deepsense.ai, Danny Leybzon of WhyLabs, Kyle Morris of Banana ML, Federico Bianchi of Università Bocconi, Mateusz Opala of Brainly, Kuba Cieslik of tuul.ai, Adam Becker of Telepath.io and Fernando Rejon & Jakub Zavrel of Zeta Alpha Vector. Check out our three most downloaded episodes:
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