What does the future of laboratory digitalization look like? How does the current excitement surrounding ChatGPT and artificial intelligence influence it? And when will it finally be possible to connect all devices cost-effectively? For those eager to get up to speed on these digital topics, the LIMS Forum 2024 was the place to be.

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.

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.

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. 

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.

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?

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.