As workers become more digitally connected, companies have access to a new rich source of activity and job execution data. With proper Artificial Intelligence (AI) tools, operations leaders can gain insights into areas where the largest improvement opportunities exist.
While capturing this fine-grained human activity data is beneficial, it only solves part of the challenge of helping to improve the productivity and efficiency of frontline workers and driving continuous improvement.
This is where Artificial Intelligence comes in.
The reason artificial intelligence and machine learning (AI/ML) is a necessary requirement is due to the nature of human activity data. When humans do things, they generate a relatively noisy set of data, and that is exactly what AI and Machine Learning are well-suited to handle.
AI lays a data-driven foundation for continuous improvement in the areas of productivity, quality, and workforce development. It also sets the stage for addressing the needs of a constantly changing workforce.
Connected worker solutions that are built on an AI foundation are also being used to support continuous improvement and lean initiatives in the workplace. AI is uniquely suited to identifying capturable opportunities from the massive, noisy data set generated by frontline workers. It can serve as the foundation of an organization’s continuous improvement initiatives and improve:
- Workforce development
With the foundational elements of augmented, guided work instructions in place, manufacturing companies can guide their frontline workers with contextual information that will help them perform jobs at peak efficiency and solve problems faster.
Connected worker platforms also help organizations capture valuable data not just on the work that is being performed, but also on the activities and interactions that are contributing to the success or performance of certain jobs.