Get behind-the-scenes insights into the world of internal ML platforms and MLOps stack components with Piotr Niedźwiedź and Aurimas Griciūnas in their show, where together with ML platform professionals, they discuss design choices, best practices, and real-world solutions to MLOps challenges.
Brought to you by neptune.ai.
All content for ML Platform Podcast is the property of neptune.ai and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Get behind-the-scenes insights into the world of internal ML platforms and MLOps stack components with Piotr Niedźwiedź and Aurimas Griciūnas in their show, where together with ML platform professionals, they discuss design choices, best practices, and real-world solutions to MLOps challenges.
Brought to you by neptune.ai.
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.
ML Platform Podcast
Get behind-the-scenes insights into the world of internal ML platforms and MLOps stack components with Piotr Niedźwiedź and Aurimas Griciūnas in their show, where together with ML platform professionals, they discuss design choices, best practices, and real-world solutions to MLOps challenges.
Brought to you by neptune.ai.
