• Advanced Manufacturing

5 mistakes to avoid in the digital transformation of your plant

  • Advanced Manufacturing
Whatever the size of your factory, it’s time for all organizations to embark on the journey towards digital transformation in an aim to get the most out of the plant by applying the different solutions offered by Industry 4.0 (Artificial intelligence (AI), Machine learning (ML), Big data, Cloud, Data Analytics, Internet of Things (IoT) or Digital Twin) throughout the whole production chain.

Artificial Intelligence, the symbiosis between human and machine

  • Advanced Manufacturing
Contrary to popular belief, Artificial Intelligence (AI) is not going to replace people, but should rather be seen as an ally, given that it’s more geared towards optimizing business processes, such as task automation processes. The most widespread AI is currently based on learning from questions and suggestions made to humans to deal with the challenges presented by the different processes. Full automation is only possible in very simple processes, generally with little added value.

When faster and more effective client response comes down to optimizing workloads

  • Advanced Manufacturing
The tendency in today’s world is to manage in an increasingly intelligent way and, unsurprisingly, this affects the industrial environment, the plants and industrial facilities in which the real-time planning and optimization of productive processes is fundamental for a business’ competitiveness. In practice, this is made possible through the incorporation of Industrial Internet of Things (IIoT) systems that streamline business processes and significantly improve productivity. The "all connected" and "in time" production trend is now a reality, but this race towards innovation has its advantages and its disadvantages.