Salesforce Introduces Agentic Analytics to Bridge Analysis and Execution
The way companies utilize data is shifting from verifying what happened to determining what needs to be done and executing it. This change marks the emergence of 'Agentic Analytics' as a new method of data utilization, going beyond generative AI analyzing data in natural language to provide answers.
At the recent 'DataFam Seoul 2026' event held by Salesforce's data analytics platform Tableau, approximately 1,000 people, including industry leaders and data experts, attended. The key point lies in the fact that AI is evolving from an analytical tool that reads data and finds insights into an agent of execution that supports corporate decision-making and actual business operations.
Vice President Matthew Miller explained that connecting insights gained from data to organizational decision-making and subsequent business operations is a crucial role for analytics platforms going forward. To achieve this, Tableau has put forward two technologies: the Knowledge Engine and the Decision Engine.