Convergence of Data Quality, Analytics, and AI

As data volumes grow and diversify, ensuring accuracy, completeness, and relevance becomes increasingly challenging, particularly with unstructured data. In this session, Prashanth discusses the economic impact of data management, categorizes data types, and debunks common quality myths. He also introduces 12 key AI patterns for improving data quality, covering aspects like profiling, integration, and governance. The presentation also emphasizes how improved data quality drives better decision-making, growth, and operational efficiency.