Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches. In the era of industry revolution 4.0, we are seeing a host of powerful Data-centric approaches, IoT technologies, Cloud-based services, AI algorithms, Machine learning models, Deep learning frameworks, Data Analytics, and Data Visualization aimed at supporting or replacing the human management capabilities in workforce management system (WMS) system. Therefore, human is eager to leverage the most multi-faceted Data-centric approaches, AI-enabled application and emerging technologies to develop, deploy and deliver next-generation workforce management systems.

The book brings insight into the workforce management system and offers Data-centric approaches and AI-enabled applications for implementing the strategies of workforce development and management. It includes current developments in the future directions and covers the concept of the HCM systems along with their sub-systems. It focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent prediction with visualization simulation for the modern workforce management system by focusing mainly on six areas of infrastructure that are based on entities: Workforce AI-enabled Applications, Workforce Data Analytics, Human Capital Management, HR Data Visualization, Workforce Predictive Models in Industry 4.0, and including Cloud Computing for the development of the Workforce Management System.

We really believe that the models and applications of the “Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches.” book will favor the people's aspirations.

This book targets a mixed audience of students, engineers, researchers, academics and professionals from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories and practices to resolve the challenging issues associated with the leveraging of combating emerging technologies and smart solutions with Data-centric AI solutions for developing a Workforce Management System in Industry 4.0.

You are invited to contribute chapters and papers and the scope of the book includes but is not limited to the following topics:

• Concepts, Definitions and Principles for the Workforce Management System
• Design of Competency Models in the Workforce Management system
• Data-driven Skills Framework in the Talent management system
• Data-centric AI models in the Workforce Development Planning
• Role-driven skills frameworks for the HR Management System
• AI-based applications for the HR Management System
• Data visualization for the metrics of the Management System
• Prediction of Workforce performance using ML techniques
• Data-centric AI frameworks and technologies for Workforce Management
• Applying ML and DL models for the Workforce Management System
• Data mining processes and decision-making models of personnel management
• Data engineering, data analytics, data visualization for personnel system
• Data-centric predictive modelling of turnover rate and new hire
• Cloud platform and storage systems for the Workforce Management System
• End-to-end Interactive interfaces in the Workforce Management System
• Applications of Workforce Management databases, Big data, and Data mining
• Analytical models and Visualization tools in Workforce Management Systems
• Robotic Process Automation applications and tools for Workforce Management System
• Case Studies: Workforce Management System Architect Design and Applications

Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches. book proceedings will be published by CRC Press, Taylor & Francis Group, Florida, USA

No Publication Charge

Each Contributor shall receive an ACADEMIC CERTIFICATE as the copyright of the Contribution and 01 complimentary eBook copy of the Work in which the Contribution appears.

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Chapter Submission: https://easychair.org/my/conference?conf=dcaiiaworkforcemanag0
• Book Information: https://easychair.org/cfp/dcaiia-wms-2023

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