Blog
Background articles, product updates, interviews and more.
- Artificial Intelligence
Effective communication with suppliers is essential for maintaining high-quality standards and resolving issues promptly. This scenario demonstrates how AI can present data in a clear and impactful manner.
- Artificial Intelligence
Effective communication with suppliers is essential for maintaining high-quality standards and resolving issues promptly. This scenario demonstrates how AI can present data in a clear and impactful manner.
- Artificial Intelligence
Ensuring the quality of raw materials from suppliers is critical for maintaining product standards. This scenario highlights how AI can assist in comparing different material suppliers, providing manufacturers with the insights needed to make informed decisions.
- Artificial Intelligence
In this scenario, we show how an AI-powered digital assistent is able to handle large data sets. AI has the potential to support laboratories by conducting complex data analyses and finds correlation that would otherwise remain hidden.
- Artificial Intelligence
This is the first part in a series of blog posts on the practical use of Artificial Intelligence in the testing laboratory - using polymer testing as an example. Here we explain the issue of fragmented data and show how this can be resolved.
- Artificial Intelligence
With the breakthrough of ChatGPT in 2023, artificial intelligence (AI) has experienced a tremendous hype. What are the implications of AI in today's testing laboratories? Can they benefit from these advanced technologies, and if so, how?
- Data Integration
In this educational webinar in German language only, you learn how to navigate the software world and benefit from our experience to make the best decision for your lab. From LIMS through to data management platforms.
- Whitepaper
Artificial intelligence (AI) is having a growing impact on R&D and quality control. Engineers and quality managers can now gain greater insights into their data, predict material behavior, and develop new materials more efficiently.
- Artificial Intelligence
After a period of economic uncertainty, the 2024 trade fairs have not only signalled a recovery in the industry, but also shown how revolutionary technologies such as artificial intelligence will transform the sector.
- Data Integration, Uncategorized
This guide outlines practical ways to achieve efficient data management in labs, focusing on the adoption of B2B SaaS solutions and IoT technology. It aims to support the digital transformation process, so that they can leverage their data.
- Artificial Intelligence
The Digital Assistant in the material testing laboratory is now a reality. LabV has created the first data platform that gives test labs easy access to artificial intelligence (AI). Labs can
make their data accessible in an intuitive way.
- Digital Twin
For many companies, the days of handwritten records and Excel are still the norm. However, digitalization could enable new approaches in industrial material development. Companies that have taken the plunge know this. A modern data management system pays off. Now labs hope that the AI lab assistant won't be long in coming.
- Digitalization
Inefficient manual processes and fragmented digital solutions plague material testing labs, causing data loss, errors, and operational inefficiencies. With disparate equipment and siloed data, integrating solutions like CAQ or LIMS becomes a challenge. How can labs navigate these obstacles to achieve seamless digitization and bolster quality assurance effectively?