In manufacturing, the frontline is responsible for executing tasks and following clear guidelines and SOPs. 

While doing so, they use their experience and judgement to ensure results are compliant with intended specifications and work instructions. Manufacturing operations evolve to incorporate more digital tech equipment like IIoT sensors, automation, and robotics. As it becomes more normalized to use advanced IT tools to extract manufacturing data, the frontline and the decisions they make on a day-to-day and minute-to-minute basis will play a key role in ensuring that optimal results are obtained from digital transformation and automation efforts.

Agile methodologies originate from the software development sector, where development teams work in a more collaborative and cross-functional manner to deliver a product that is developed with an iterative approach and is continually improved to meet the requirements set out.

This is a methodology that is the exact opposite of the waterfall method of development, where an elaborate plan is established at the beginning based on user requirements and the project is executed by subject matter experts, the aim is to deliver a solution in one go with minimum possible change requests and by following the specs to the exact detail.

Understanding the role, a connected enterprise and an empowered workforce plays in laying the foundation for a successful AI implementation.

A common misconception when it comes to Digital Transformation and Industry 4.0 is that with the rapid adoption of the technology gamut associated with them, the manufacturing operation would, as a step change, transform into a fully automated endeavor, orchestrated almost entirely by autonomous AI applications, self-optimizing and self-driven.