Archived Content
Archived Content
This section contains our archived content, including historical resources, legacy documentation, and past offerings. While some specific details may have evolved, much of this content remains valuable for understanding our company’s journey and the development of our solutions.
You’ll find archived app documentation, technical glossaries, information about previous offerings, and technology stack overviews. These resources provide historical context and may still be useful for understanding foundational concepts and approaches.
Please note that current product information and documentation can be found in our main content sections. This archive is maintained for reference purposes and historical continuity.
Digital Twins and AI for manufacturers
- Solange Borrego
- Archive , Learning , Blog
- Jun 1, 2021
- Updated
Digital Twins are virtual replicas of real-world systems enabling low-cost modelling of the factory floor to help optimise processes. Combined with AI the Digital Twin can support improved forecasting, dynamic optimisation, and more.
Microsoft Build 2021 announcements for manufacturers
- Steph Locke
- Archive
- May 25, 2021
- Updated
Microsoft Build 2021 is kicking off and whilst it tends not to be as announcement heavy as Microsoft Ignite, it’s still got some great things for manufacturers to pay attention to. This post gives a quick run down of the most important stuff you need to read about. Enjoy!
Smart Manufacturing is all about Real-Time Data Analytics
Manufacturers are spending far too much time on data entry or looking at stale data which is hindering growth. Here are seven ways real-time data can turn things around.
European AI Act
- Ruth Kearney
- Archive
- May 18, 2021
- Updated
The European Commission proposes new rules and actions aiming to turn Europe into the global hub for trustworthy Artificial Intelligence (AI).
Data Champions are critical to your success in digitally transforming
Manufacturers need Data Champions to help them succeed in today’s digital world. To learn more about how you can find your Data Champion for your team or company, read on!
Reports supported by AI & automation
- Steph Locke
- Archive
- May 11, 2021
- Updated
Data compilation for reports created by experts is usually more time consuming than writing the valuable content. Using AI and no-code automation techniques, data collation and visualisation can be greatly streamlined, letting staff focus on the value.
Checklists make everything better - including responsible AI!
Building a checklist to cover the six key areas of responsible AI can drive better outcomes and returns for your business. Start with the list of areas as a discussion aid and grow your checklist with use.
Using AI to make your warehouse operations smarter
You can benefit from lower overheads by using AI to manage stock levels, whilst building a more scalable warehouse operation that is safer for employees, using AI.
Detecting defects with AI - a computer vision challenge
With the pace of output on machines ever increasing, quality control becomes a lot tougher. Using AI to detect defective products sooner can help scale your quality processes and avoid significant stops.
EU to recruit world-class AI researchers
While Europe is a global leader in academic research of human-centric artificial intelligence we lag behind when it comes to putting research into practice.
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