Cloudera, the hybrid platform for data, analytics, and AI utilization, unveiled Cloudera Copilot for Cloudera AI through the EVOLVE24 Paris event, providing secure intelligent assistance that helps improve productivity and simplify data workflows. Built to meet the needs of data scientists, engineers, and developers, Cloudera Copilot improves reproducibility across projects -- ultimately enabling enterprises to put trustworthy data, analytics, and AI applications into production faster than ever before. Cloudera Copilot capabilities: natural language interface for constructing complex data queries without requiring SQL or Python expertise; automated code explanation and documentation generation; intelligent suggestion of data transformation steps based on understanding of data schema and intended analysis; error diagnosis and correction for data pipeline failures; the reproducibility improvement is achieved through automatic documentation of analysis steps and parameters, making it possible to recreate results or hand off work between team members without knowledge loss. The Cloudera AI context: Cloudera serves enterprises that require AI deployment on their own infrastructure (on-premises or private cloud) rather than relying on public cloud AI services; the copilot capability extends this enterprise AI offering to the data practitioner layer, not just data scientists; the EVOLVE24 Paris launch reflects Cloudera emphasis on the European market where data sovereignty regulations (GDPR) create strong demand for on-premises AI infrastructure.