Emotion AI in Business Intelligence: Understanding Customer Sentiments and Behaviors

Suman  Chintala

Suman Chintala 66Degrees, Business Intelligence Architect, Mechanicsburg, PA United States of America

Keywords: Artificial Intelligence, Business Intelligence, Generative AI, Customer Sentiment Analysis, Customer Behavior

Abstract

The goal of the artificial intelligence subfield known as "emotion AI" is to recognize human emotions from speech, text, facial expressions, and physiological data. Notwithstanding progress, many issues remain, including subjectivity, contextual variance, and multimodality of data. In order to better understand client sentiments and actions, this study investigates the integration of Emotion AI into business intelligence platforms. In order to improve emotion recognition accuracy, the research makes use of multimodal data analysis and machine learning methods. The analysis of client happiness, targeted marketing, and individualized services have all significantly improved, according to the results. The consequences imply that companies using Emotion AI can learn more about how customers engage with them, which can help them make better decisions and provide them a competitive edge.

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