03532nam 22006375 450 991101585370332120250725174737.0981-9644-96-810.1007/978-981-96-4496-4(MiAaPQ)EBC32202169(Au-PeEL)EBL32202169(CKB)39620849800041(DE-He213)978-981-96-4496-4(OCoLC)1527716939(EXLCZ)993962084980004120250709d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAnalysing Trends and Patterns in Employee Engagement Through AI /by Soumi Majumder, Bitan Misra1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (96 pages)SpringerBriefs in Computational Intelligence,2625-3712981-9644-95-X Introduction -- Importance of measuring employee engagement trends in organisations -- Employee engagement challenges -- Significance of Employee Engagement Levels in the Workplace -- Employee Engagement Models -- Artificial intelligence in employee engagement and retention -- Leveraging AI for Employee Engagement -- AI-powered analytics uncover hidden patterns in employee engagement data -- Predictive analytics: Anticipating future engagement trends with AI -- Ethical Considerations and Future Directions of AI in Employee Engagement.This book explores the concept of employee engagement, which is crucial for a company's success, as it is closely linked to job satisfaction and employee morale. Engaged workers tend to be more productive, efficient, and committed to the values and objectives of the company. Artificial intelligence plays a significant role in HR analytics, particularly in automating tedious tasks like data collection and organization from multiple sources. AI-driven employee engagement software can analyze employee feedback, surveys, and social media posts to capture the overall sentiment of the workforce. This allows HR teams to gain insights into employee experiences and perceptions, uncover areas for improvement, and address any issues that require attention. By leveraging past data and employing machine learning algorithms, AI enables HR professionals to predict turnover rates, forecast employee engagement levels, and identify potential flight risks.SpringerBriefs in Computational Intelligence,2625-3712Computational intelligenceArtificial intelligenceMachine learningEmployee health promotionComputational IntelligenceArtificial IntelligenceMachine LearningEmployee Health and WellbeingComputational intelligence.Artificial intelligence.Machine learning.Employee health promotion.Computational Intelligence.Artificial Intelligence.Machine Learning.Employee Health and Wellbeing.006.3Majumder Soumi1077446Misra Bitan1834013MiAaPQMiAaPQMiAaPQBOOK9911015853703321Analysing Trends and Patterns in Employee Engagement Through AI4409134UNINA