| Abstract Scope |
The engineering landscape is undergoing a transformation due to the rise of digital tools like Integrated Computational Materials Engineering (ICME) and Artificial Intelligence (AI). To remain competitive and adapt to these changes, developing a future-ready workforce is essential. This requires a focus on reskilling and upskilling workers, closing the skills gap, and fostering continuous learning in materials science and engineering. To drive significant improvements in employee competencies, forming partnerships with academic institutions, creating specialized training programs, and revamping learning platforms will be necessary. The convergence of advanced technologies and human capital is transforming manufacturing operations and workforce dynamics, driven by trends like the Industrial Internet of Things (IIoT), advanced robotics, and predictive analytics. We will explore how these innovations impact workforce development and highlight the skills and competencies needed for success in this evolving landscape, including data analysis, programming, and interdisciplinary collaboration. |