Data Engineering - Read 40+ file types w/ 30+ visualizations, support for NoSQL, MongoDB, Cassandra, save ETL pipeline for future use. Model Building - 3 choices: Code-based, Visual, or Automated, 1500+ algos & functions; Jupyter access, pre-built templates for predictive maintenance. ModelOps - Containerized architecture; code-free deploying, value-sensitive scoring; bias detection, drift monitoring & mitigation features. AI App Building - Simplified autoML, code-base & visual prompts, evaluate results against expectations and collaborate across devices to build an app.
