TY - GEN
T1 - XPERTISE 5.0
T2 - 38th IEEE/IFIP Network Operations and Management Symposium, NOMS 2025
AU - Moser, Thomas
AU - Leitenbauer, Lena
AU - Torrubiano, Ruben Ruiz
AU - Reiner, Michael
AU - Sorko, Sabrina Romina
AU - Wolfartsberger, Josef
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In today's fast-changing industrial landscape, organizations need resilience at both individual and organizational levels to stay competitive. The XPERTISE 5.0 research agenda proposes a deep-tech approach to enhancing workforce adaptability through artificial intelligence (AI), extended reality (XR), brain-computer interfaces (BCI), and adaptive learning systems. It examines how digital learning environments can foster resilience by offering personalized and tech-driven trainings. The research aims to develop a modular learning framework for organizations to customize training programs based on their needs, technology, and workforce capabilities. Using AI-driven personalization, real-time physiological feedback, and immersive simulations, this approach enhances knowledge retention, decision-making, and problem-solving skills. It also emphasizes human-centric digital transformation to help employees navigate technological disruptions. XPERTISE 5.0 supports the Industry 5.0 paradigm, highlighting resilience, sustainability, and human-technology collaboration. This research lays the foundation for scalable and adaptive training models across industries, promoting a future-ready workforce that embraces technological change and enhances organizational agility and innovation.
AB - In today's fast-changing industrial landscape, organizations need resilience at both individual and organizational levels to stay competitive. The XPERTISE 5.0 research agenda proposes a deep-tech approach to enhancing workforce adaptability through artificial intelligence (AI), extended reality (XR), brain-computer interfaces (BCI), and adaptive learning systems. It examines how digital learning environments can foster resilience by offering personalized and tech-driven trainings. The research aims to develop a modular learning framework for organizations to customize training programs based on their needs, technology, and workforce capabilities. Using AI-driven personalization, real-time physiological feedback, and immersive simulations, this approach enhances knowledge retention, decision-making, and problem-solving skills. It also emphasizes human-centric digital transformation to help employees navigate technological disruptions. XPERTISE 5.0 supports the Industry 5.0 paradigm, highlighting resilience, sustainability, and human-technology collaboration. This research lays the foundation for scalable and adaptive training models across industries, promoting a future-ready workforce that embraces technological change and enhances organizational agility and innovation.
KW - Adaptive Learning
KW - AI
KW - Brain-Computer Interface (BCI)
KW - Deep Tech
KW - Digital Transformation
KW - Extended Reality (XR)
KW - Industry 5.0
KW - Resilience
KW - Workforce Development
UR - https://www.scopus.com/pages/publications/105012212059
U2 - 10.1109/NOMS57970.2025.11073674
DO - 10.1109/NOMS57970.2025.11073674
M3 - Conference contribution
AN - SCOPUS:105012212059
T3 - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025
BT - Proceedings of IEEE/IFIP Network Operations and Management Symposium 2025, NOMS 2025
A2 - Zuckerman, Doug
A2 - Ulema, Mehmet
A2 - Limam, Noura
A2 - Kim, Young-Tak
A2 - Granville, Lisandro Zambenedetti
A2 - Fulber-Garcia, Vinicius
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 May 2025 through 16 May 2025
ER -
