This presentation provides a comprehensive overview of augmented analytics (AA), a technology that leverages machine learning and NLP to enhance data analysis and business intelligence. The presentation begins with defining AA and its role in supporting day-to-day business decisions, improving agility, and facilitating timely decision-making. It then explores the expected growth of AA, projecting a significant market expansion by 2025. The presentation also addresses the risks associated with AA, such as costs and trust issues, while highlighting opportunities like faster data access and valuable insights. The author recommends the implementation of AA to improve organizational efficiency and enhance business intelligence. The presentation concludes with a summary of key points and references to relevant sources, emphasizing the importance of AA for future business operations and its potential for significant growth in the coming years.