4 tips for digitalization in the industry
Many industrial companies are becoming more and more digital today, and new Industry 4.0 projects are emerging all over Denmark. The new technologies have become more accessible than ever before. But have you thought through the project enough before starting it?
Read our 4 tips before you spend your entire budget on Industri 4.0 solutions.
Time to read: 3 minutes
Subject: Industry 4.0
Author: Iterator IT
The four tips
1. Start smart and small
When starting a new IoT or Industry 4.0 project from scratch, it's a good idea to start small. There are constantly new and innovative things happening within IoT and Industry 4.0. Expensive new sensors are invented, and it's easy to get carried away with the development. But it's not always necessary to have the latest and greatest, and when starting a new IoT project, it's best for many to start small so as not to spend money on devices that are not entirely necessary. Is the latest iPhone important to have, or can we make do with one of the older models for what we need it for? If you need specialist help starting your project, you can read more about Iterator IT's services here.
2. Build a solid foundation
With the first piece of advice in mind, you should also be aware of the solution you choose. When starting a new project, it's important to look at how flexible the solution is. Is it possible to replace your current sensors with new ones in the future? For, along with starting small, it's also important to integrate a solution that can be optimized and scaled later on.
3. Which needs are most necessary to be met now?
If you have started looking at an IoT solution for your company, you may also have started looking at the various options for collecting data. But here it's important to prioritize. There's a lot of data that can be relevant, but what's most essential for your situation right now? If you expect to measure everything at once, you can end up with too much data that you don't know what to do with. Choose the place in production where data is most needed.
4. Machine Learning is not scary
Machine learning is only used in specific use cases where it's needed to generate the data the company needs. Machine learning can seem like an overwhelming process for many who are new to the game. But it's not so scary to delve into, and more and more companies in the industry are also implementing machine learning as part of their IoT solution. When it comes to machine learning, it's also important to take small steps and thus build a solid machine learning solution. Have a clear understanding of your goals so that the right machine learning approach can be implemented. If you'd like to learn more about machine learning and what it can do for you, you can find out more here.
Iterator IT
Iterator IT is one of Denmark's leading IoT development companies, specializing in Industry 4.0. We are well-versed in the complex business models that exist in the industry. Over the years, we have assisted industrial companies in developing their Industry 4.0 projects, not just in terms of software development, but also by examining the various elements of the company from the ground up until we find a concrete use case that can create value for the company. In some cases, we have also been the primary driving force that has brought the project to fruition in collaboration with a project manager within the company.
We build the software for the project, including the cloud solution and visual elements for platforms or applications. With our skilled and experienced collaborators who have developed hardware over the years, we are capable of offering end-to-end IoT solutions.
If you have any doubts about what Industry 4.0 can do for you, please feel free to contact us either via our contact form here or call our CEO Casper at +45 31 39 05 69
