A Practical Introduction to Machine Learning with Databricks Mosaic AI

Explore a 39-minute conference talk introducing Databricks' latest advancements in real-time inference and feature serving capabilities. Dive deep into the mechanics of Databricks' real-time inference ecosystem and learn practical strategies for deploying AI models as robust, externally facing APIs. Gain an in-depth understanding of new real-time inference features, step-by-step guidance on setting up feature and function serving, and insights into transforming organizational approaches to data analysis and decision-making. Presented by Craig Wiley, Sr. Director of Product Management, and Nicolas Pelaez from Technical Marketing at Databricks, this session offers valuable takeaways for leveraging AI models and data for instantaneous decision-making. Access additional resources like the LLM Compact Guide and Big Book of MLOps, and connect with Databricks through various social media platforms for further engagement.

A Practical Introduction to Machine Learning with Databricks Mosaic AI