Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. Build next-generation AI features, from statistics and time series forecasting to LLM inference. Build the experience that makes data accessible and actionable for everyone. Elevate data visualization capabilities with high-performance charting tools and dashboards. Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Build features for AI compliance, connecting disparate systems and simplifying governance processes.