Infosys Chemical Manufacturing develops training and development solutions for upskilling and reskilling the workforce. We capitalize on education technology and mobile communication to maximize learning outcomes. We combine best practices in corporate training and team development with assessment-based skill enhancement. Our approach accelerates learning while rationalizing the costs of developing specialized skill sets.
Infosys knowledge management specialists identify training needs, define learning objectives, and develop easily consumable knowledge modules. We leverage virtual, augmented and mixed reality to enhance learning content. 3D designs and process simulation enable professionals to visualize industrial structures and gain a nuanced understanding of operating procedures without physical visits. Further, digital learning extends industrial exposure while minimizing risks.
Our knowledge platforms encourage self-learning and always-on training, enabling enterprises to boost productivity with minimal investment. Notably, we address enterprise-specific requirements across job roles, skills and experience levels. Our learning solutions address goals of diverse user groups: help interns recognize job site hazards or sequence alarm tags in a SCADA system, enable R&D engineers to identify thrust areas such as conversion of agricultural waste into bioplastics, and allow project managers to adopt machine learning-based techno-economic analysis.
Digital training frameworks provide flexibility, allowing chemical manufacturers to enhance in-house talent and fulfill social responsibility. e-Learning modules provide guidance for industrial trainees. Similarly, it can be used to develop skills of a workforce comprising subconsultants and subcontractors.
PoV: Safety imperative: An efficient chemical management system
A comprehensive system that incorporates IoT devices, analytics and reporting tools to manage chemical products mitigates safety risks at the workplace.
On-the-go learning programs enrich the talent pool at minimal cost.
Digital tools identify skills gaps, recommend targeted interventions, and evaluate training outcomes.
Artificial intelligence-based self-service models supported by natural language processing features minimize dependence on trainers.