Session Outline
This talk at the Data Innovation Summit 2024, covers building an end-to-end solution for DataOps and MLOps. Leading open-source solutions such as OpenSearch, Kubeflow and MLFlow are seamlessly integrated, such that the process takes away the burden of helping telco providers optimise their network and reduce their power consumption.
Key Takeaways
- Open source tooling enables organisations to build an end-to-end solution covering all the data and machine learning lifecycle stages, from easily correlating data from different sources, independently of their collection engine, to serving the model in production. Professionals can focus on building the ML models rather than plumbing the tooling.