AI applies advanced analysis and logic-based techniques, including machine learning (ML), to interpret events, support and automate decisions, and take actions. Capabilities for AI include: *Strategy *Data engineering (curation, labeling) *Model development and testing (computer vision, graph, natural language processing [NLP], optimization) *Operations (ML operations [MLOps], monitoring) *Governance D&A is the management of data for all uses (operational and analytical) and the analysis of data to drive business processes and improve business outcomes through more effective decision making and enhanced customer experiences. Capabilities for D&A include: *Analytics and business intelligence (BI) *Data integration *Data management (and data governance) *Data quality *Data science and ML *Master data management *Metadata management