Case Study: Siemens Energy accelerates GenAI learning with Workera

A Workera Case Study

Preview of the Siemens Energy Case Study

Siemens Energy Improves Workforce Learning with Personalized Paths Using Workera's AI Platform

Siemens Energy, a global energy company with nearly 100,000 employees, needed an efficient way to deliver engaging and personalized training on generative AI and large language models to its diverse, worldwide workforce. Their previous manual approach to learning and development was time-consuming, did not scale, and resulted in a generic training experience that failed to meet individual employee needs. They partnered with the vendor Workera to address this challenge.

Workera provided an adaptive learning platform that used skill assessments to create highly personalized learning paths for each Siemens Energy employee. This solution focused on "training the trainer" to rapidly scale knowledge and significantly reduced the time required to learn new skills. The results were substantial, including a 97% certification rate for learners within 90 days and a 62% improvement in GenAI and ChatGPT skills after just two weeks, leading to greater employee satisfaction and efficiency.


Open case study document...

Siemens Energy

Jyotika Samjee

Head of Global Transformation


Workera

5 Case Studies