Artificial Intelligence in Value Creation by Andrzej Wodecki

Author:Andrzej Wodecki
Language: eng
Format: epub, pdf
ISBN: 9783319915968
Publisher: Springer International Publishing

3.3.1.3 New Methods for Testing Products

As can be seen, AI class systems significantly affect the requirements for new products and the design processes themselves. It turns out that the methods for testing prototypes and ready-made solutions are also changing.

According to Porter and Heppelmann (2014), today, we are dealing with continuous quality management processes. In the past, designed devices were tested in laboratories, but today continuous real-time access to detailed data from devices allows for continuous testing and refinement. As a result, the concepts of “testing” and “laboratory” are considerably extended, both in time and space.

Additionally, due to the Internet of Things, it is possible to transfer the testing process directly to the customer. This process is the simplest in the case of web or mobile applications: advanced reporting systems in near-real time provide insight into how to use programs, and the combination of user profiles with their online behavior gives an incredibly complete picture of the value offered to customers. The supplements of this are the systems supporting the search of target groups (e.g. Deep 6 AI analytics for drug testing) and solutions using machine learning to test digital solutions (e.g. Rainforest system).

Not only is the place of testing changing, but also its moment. In the past, the products were tested before making them available to the customer. Today, prototypes are more and more often checked in the process of use. Users of modern mobile phones or computers in particular experience this.

As a result, testers also change; once, they were employees of dedicated quality control teams, today, more and more often these are advanced users who agreed to it (participation in the so-called beta testing programs). They are usually friendly to the company, fond of novelties and understanding customers, which is why feedback from such tests is particularly useful.

The last change in product testing processes concerns the methods of collecting information about test results. It used to be observations and surveys, today, these are more and more often data sets automatically generated by various types of sensors. This naturally changes the methods of data interpretation and inference about test results.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.