Downloads

Learn more about digitalization, AI and data management in the testing lab.  Download our materials at any time and stay tuned.

New Case Study

Learn in the case study

How AI-based solutions can integrate fragmented laboratory data into a cohesive system
What AI can do in your lab to improve efficiency and to exploit all data
Practical examples of how AI can streamline data analysis
The benefits of an AI-powered data management platform in transforming laboratory operations, reducing errors, and saving time.

Read white paper on digitalization and industry 4.0 in quality control, material development and process engineering.

Learn in the white paper:

The historical development of artificial intelligence and its importance in the testing laboratory
Current advances and specific applications of AI in quality assurance and materials development
The role of the digital twin in process optimization and product quality
Requirements for a successful use of AI in the laboratory
Specific recommendations for implementing Laboratory 4.0 solutions and AI technologies in your lab

A Case Study on the Practical Implications of AI in the Laboratory

Learn in the white paper:

The historical development of artificial intelligence and its importance in the testing laboratory
Current advances and specific applications of AI in quality assurance and materials development
The role of the digital twin in process optimization and product quality
Requirements for a successful use of AI in the laboratory
Specific recommendations for implementing Laboratory 4.0 solutions and AI technologies in your lab

Learn in the white paper:

The implications of inadequate digitalization on quality assurance labs
The differences between LIMS, CAQ and data management systems for materials testing laboratories
Proposed solutions to overcome Excel and paper and to ensure data integrity
How companies can systematically start their digitization journey