Databricks Unveil New Machine Learning Solution

Databricks today unveiled a new cloud-based machine learning offering that's designed to give engineer everything they need to build, train, deploy, and manage ML models. The new offering is designed to bridge the gap in existing machine learning products that arises by focusing too much on data engineering, ML model creation, or the deployment aspects of the machine learning cycle, Databricks says. "Many ML platforms fall short because they ignore a key challenge in machine learning: they assume that data are available at high quality and ready for training," Databricks says in its announcement. "That requires data teams to stitch together solutions that are good at data but not AI, with others that are good at AI but not data." To address this gap, Databricks lets users switch between user "experiences" that it exposes, including data science/engineering, SQL analytics, and machine learning experiences, to access tools and features relevant to their everyday workflow.