Databricks solves several challenges in large-scale AI pipelines, such as data processing, model training, and scalability. By using Apache Spark, Databricks can handle vast amounts of data efficiently, ensuring that AI models are trained and updated using the latest data.

It provides a unified platform that integrates data engineering, data science, and machine learning, enabling teams to collaborate and scale AI solutions. Snowplow's real-time data collection feeds into Databricks, providing the foundation for building, training, and deploying AI models.