MLOps: Relieving Technical Debt in ML with MLflow, Delta and Databricks


"MLOps" is a hot topic, as teams grapple with productionizing machine learning. Now, they need monitoring, lineage, deployment tools, not just modeling libraries. This talk introduces tools from Databricks, like open source MLflow and Delta, as well as a Feature Store, and how they help mitigate MLOps pain points.


Yinxi Zhang is a Sr Data Scientist at Databricks with 7+ years of industry experience on end to end ML development. Her responsibilities as a Brickster are teaching Scalable Machine Learning, Deep Learning and MLops courses and helping clients develop their ML solutions. She used to be a marathon runner and now a yogi.

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