How AI, IoT and Big Data are changing the testing and inspection industry

laboratory data AI
By (Testing) Tim Thys – Labs
Testing Services
29 June 2023

The development of new technologies

With increasing competition in the testing and inspection industry, the use of new technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data analysis is becoming increasingly important. Companies that can apply these technologies to their testing processes can improve their competitive position and improve the accuracy and speed of their testing and inspection processes.

TLR and Control Union labs are at the forefront of incorporating these technologies into the business to stay ahead. Innovation is one of the main values.

Artificial Intelligence (AI) has the potential to revolutionize the testing and inspection industry. With AI, machines can learn from data and make predictions or decisions based on that data. Control Union laboratories is constantly exploring new ways to use AI in their business to improve the accuracy and speed of their testing processes.

 

Take proactive measures to prevent issues before they occur, improving the quality and reliability of their testing processes.

 

In addition, the Internet of Things (IoT) is another technology that is changing the testing and inspection industry. With IoT, devices can be connected and communicate with each other, allowing for real-time data collection and analysis. At Control Union and TLR, we are exploring the use of IoT in testing and inspection processes, which can help to reduce downtime and improve the reliability of our testing processes.

Finally, Big Data analysis is also changing the testing and inspection industry. With Big Data, companies can analyze large amounts of data to identify patterns and trends that would be difficult to detect otherwise. Control Union’s TLR analyzes data from their testing equipment to identify patterns and trends that could indicate potential issues with products. This allows them to take proactive measures to prevent issues before they occur, improving the quality and reliability of their testing processes.

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