This paper examines the importance of automated machine learning (AutoML) for Augmented Analytics and the rise of the Citizen Data Scientist. It discusses the synergy between Citizen Data Scientist and Augmented Analytics, the changing role of data scientists and the future of AutoML. The paper also presents case studies comparing AutoML and data scientists and explores the psychology of changing roles and organizational change.

What will you learn when you read this document?

• How AutoML contributes to the rise of augmented analytics and Citizen Data Scientist
• What is the synergy between Citizen Data Scientist and augmented analytics and how does this synergy benefit businesses?
• How is the role of data scientists changing with the advancement of AutoML and augmented analytics?
• How does AutoML compare to data scientists in terms of efficiency and effectiveness?
• How can organizations manage the psychological and organizational changes brought about by the transition to AutoML and Augmented Analytics?