Ryan Dawson
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| title | conference | date |
|---|---|---|
| How To Select Technology For Data Mesh | Big Data LDN 2022 | 2022-09-21 |
Positions Data Mesh as a socio-technical shift that trades centralized bottlenecks for domain teams who can onboard sources faster but must absorb distributed… | ||
| Machine Learning in Production: An Intro to MLOps. | Devoxx Ukraine 2020 | 2020-11-05 |
Claims that ~90% of ML models never reach production and that data, not code, creates most complexity. Describes concrete tooling and patterns: Kubeflow/MLflow… | ||
| DevOps for Machine Learning - why is it different? | DataXDay 2020 | 2020-06-02 |
Claim: machine learning fails in ops because 80–90% never go live and the bulk of effort is data, training and monitoring not code. Demonstrated tools and… | ||
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