LEADER 03532nam 22006375 450 001 9911015853703321 005 20250725174737.0 010 $a981-9644-96-8 024 7 $a10.1007/978-981-96-4496-4 035 $a(MiAaPQ)EBC32202169 035 $a(Au-PeEL)EBL32202169 035 $a(CKB)39620849800041 035 $a(DE-He213)978-981-96-4496-4 035 $a(OCoLC)1527716939 035 $a(EXLCZ)9939620849800041 100 $a20250709d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysing Trends and Patterns in Employee Engagement Through AI /$fby Soumi Majumder, Bitan Misra 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (96 pages) 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3712 311 08$a981-9644-95-X 327 $aIntroduction -- 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. 330 $aThis book explores the concept of employee engagement, which is crucial for a company's success, as it is closely linked to job satisfaction and employee morale. Engaged workers tend to be more productive, efficient, and committed to the values and objectives of the company. Artificial intelligence plays a significant role in HR analytics, particularly in automating tedious tasks like data collection and organization from multiple sources. AI-driven employee engagement software can analyze employee feedback, surveys, and social media posts to capture the overall sentiment of the workforce. This allows HR teams to gain insights into employee experiences and perceptions, uncover areas for improvement, and address any issues that require attention. By leveraging past data and employing machine learning algorithms, AI enables HR professionals to predict turnover rates, forecast employee engagement levels, and identify potential flight risks. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3712 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMachine learning 606 $aEmployee health promotion 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aEmployee Health and Wellbeing 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aEmployee health promotion. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aEmployee Health and Wellbeing. 676 $a006.3 700 $aMajumder$b Soumi$01077446 701 $aMisra$b Bitan$01834013 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911015853703321 996 $aAnalysing Trends and Patterns in Employee Engagement Through AI$94409134 997 $aUNINA