Day 2 at Databricks #DataAISummit was packed with deep dives, hands-on learning, and forward-thinking conversations.
We explored the full lifecycle of AI and Data Engineering, from Machine Learning Model Deployment and Generative AI sessions, to Streaming with DLT, Gen AI Deployment and Monitoring, and Gen AI Evaluation and Governance.
The CI/CD for Databricks with GitHub session gave us practical insights into automating workflows, while the Databricks Performance Optimization sessions helped us fine-tune for scale and speed.
Every session reinforced how fast the landscape is evolving and how important it is to stay curious, collaborative, and committed to learning.






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