MLOps + DevOps + Kubernetes with Annie Talvasto

About Show #932

Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organization, model building, and deployment. The challenges are the arrays of skilled people needed to operate and evaluate the pipeline - it takes domain experts to know if the machine learning results are accurate and valuable. Tooling can help, but it is only in the early days. If your organization is keen to get machine learning into the company, you need to do some careful planning!


Recorded April 20, 2024


Annie Talvasto is an award-winning international technology speaker and leader. She has been recognized with the CNCF Ambassador and Azure MVP awards. Annie has co-organized the Kubernetes & CNCF Finland meetup since 2017. She has spoken at technology conferences worldwide, including KubeCon + CloudNativeCon, Microsoft Build & Ignite, KCDC, and NDC. In the past, she has also served as a track chair for KubeCon + CloudNativeCon and has been hosting Cloud Native Live, a weekly livestream by CNCF, since 2021.

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