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010   $a3-032-15735-8
024 7 $a10.1007/978-3-032-15735-5
035   $a(CKB)44393060200041
035   $a(MiAaPQ)EBC32463542
035   $a(Au-PeEL)EBL32463542
035   $a(DE-He213)978-3-032-15735-5
035   $a(EXLCZ)9944393060200041
100   $a20251218d2026      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAI-Driven Wellbeing to Enhance Lives and Work Environments /$fby Soumi Majumder, Nilanjan Dey
205   $a1st ed. 2026.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026.
215   $a1 online resource (214 pages)
225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1257
311 08$a3-032-15734-X 
327   $aMindBody Wellbeing -- AI for WorkLife Harmony -- AI Technologies Driving Wellness Transformation -- AI in Workplace Wellness Programs -- AI Applications for General WellBeing -- AI and Organizational Wellness Culture -- Ethical considerations and challenges -- Future Trends in AI for Holistic Wellness -- Case Studies and Global Best Practices -- Conclusions.
330   $aThe book examines how artificial intelligence (AI) is changing methods used by individuals and organizations to address wellbeing. The book examines the convergence of AI, psychology, workplace culture, and personal wellness, providing practical advice on utilizing technology to foster healthier, happier, and more efficient settings. The book emphasizes that AI technologies such as sentiment analysis, customized health applications, and intelligent wearables can track and enhance both physical and mental wellbeing. It explores algorithms that identify burnout, stress, and disengagement, enabling prompt interventions in personal and work settings. Real world case studies demonstrate how AI enhances communication, streamlines workloads, and creates work environments that improve employee contentment. The text explores the ways in which AI-powered platforms can tailor employee experiences, covering aspects such as mental health assistance and career growth. The book confronts ethical challenges head-on, discussing privacy issues, data security, and the need for transparency in implementing AI solutions connected to wellbeing. It anticipates upcoming trends such as emotional AI, predictive analytics for preventative health actions, and the merging of AI with human-centred leadership.
410  0$aStudies in Computational Intelligence,$x1860-9503 ;$v1257
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aWell-being
606   $aEmployee health promotion
606   $aComputational Intelligence
606   $aArtificial Intelligence
606   $aWell-Being
606   $aEmployee Health and Wellbeing
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aWell-being.
615  0$aEmployee health promotion.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aWell-Being.
615 24$aEmployee Health and Wellbeing.
676   $a006.3
700   $aMajumder$b Soumi$01077446
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911047847203321
996   $aAI-Driven Wellbeing to Enhance Lives and Work Environments$94495792
997   $aUNINA