The industry shapes how we do maintenance. The industry is heading towards an automated digital era. This means that maintenance needs to be ready with a new mindset and a digital skillset
Tag: maintenance management
ChatGPT responses can empower the new generation if used as a strong starting point. But, If the ChatGPT response will be used to escape a situation only, then it is worse than giving a hungry man a fish to eat because it will generate a superficial generation that can say or appear to know a lot but can do nothing.
To level up our consciousness through expanding our awareness we need simple explanations for the new terms in our new world. So, what is a chatbot? And, How we can use it for maintenance easily? Also, Which type of chatbot would serve maintenance better.
This article was inspired by the panel discussion at METEC 2023 about Industry 4.0 application. The panelists were from Gerdau Industry 4.0 Team and Primetals Technologies. We also showed the results of Gerdau Digital transformation as seen by their strategic partner, GE Digital.
All what we have is whatever available for us to do or ask about in this here and now moment. It is not important how big is what we are doing here and now but surely it is on the track to what we want.
We are demystifying the cross linked needs of AR setup in this series of “The Future of Maintenance”. In other words , How to be ready for applying AR when it knocks our doors in maintenance?
Let’s go through the elements that can make AR application in maintenance possible. So, when someone offers you an AR tool you know what you will be looking for. Optical Recognition will be our starting point. It is simply how the AR sees the world around it.
The future of maintenance is full of new technological tools as the Augmented Reality. This will support, improve and evolve how we do maintenance. That’s not a daydream or a hope, it is already applied. So it is a matter of time to be available for you.
When the AI Agent senses its environment as the gameboard or the user preferences it can infer new equations representing this new status. The next action or recommendation will be based on the previous equations it built. Let’s see examples about it.
The key to reach to this balance point quickly and make full use of AI in maintenance is to perceive AI correctly. Creating correct perceptions about AI needs understanding what is the AI? How it works? and its real capabilities and potential.