Goal of the study

Artificial intelligence - overrated hype or future technology? It is a fact that artificial intelligence has long since arrived in our everyday lives. Particularly in the industrial context, there is considerable potential for the use of artificial intelligence as a result of constantly growing data availability and improved analysis options. Especially for indirect business areas such as research and development (R&D), this creates a wide variety of potentials, but also corresponding challenges

 

Targeting at a comprehensive exploration of this topic, an international benchmarking study is being conducted by the Complexity Management Academy and RWTH Aachen University (WZL) in cooperation with an industrial consortium consisting of 24 manufacturing companies.


The study aims at a comprehensive elaboration of successfull and sustainable approaches for the integration of artificial intelligence in product development.

The focus is on the application of artificial intelligence in the product portfolio and the support of processes in product development. Furthermore, the prerequisites for a successful integration of the technology and its anchoring within the organization are exciting and at the same time challenging aspects, which we would like to discuss with you in the study.

 

Please be invited to utilize the questionnaire to challenge your company’s artificial intelligence strategy. As a participant you will also receive a descriptive analysis of the study’s results as well as an indication about your individual positioning in comparison to a wide range of leading industrial companies’ artificial intelligence approach. Furthermore you might be elected as one of five successful practice companies, which will be invited to visit each other in order to learn from the best.


Timeline

The benchmarking study is designed in three phases over 10 months. During the initial Screening phase data is captured in a global context based on the questionnaire. As part of the Evaluation phase, the returns are analyzed while all participants are provided with an individual positioning within the overall study results. In collaboration with our industrial and scientific expert network promising approaches are further analyzed by case studies with the respective participants of the study. According to the overall motto “Learn from the best”, best practices are shared across the successful practice companies and the consortium in the course of five Company Visits.


Scope of the study


Portfolio enhancement

  • How can the services offered be expanded through the use of artificial intelligence?


Optimization of internal processes

  • Which are the possible applications for artificial intelligence to support the development process?


Organizational requirements

  • In order to successfully implement artificial intelligence, how should the organization and structure of the company be defined?


Technological requirements

  • For the use of artificial intelligence, what are the requirements for the IT infrastructure and data quality of a company?


Get in touch

Jan Koch, M.Sc. RWTH
Project Lead
Complexity Management Academy GmbH
Campus Boulevard 30
D-52074 Aachen
T +49 241 80 27566
M +49 151 43154355

Email: jan.koch@complexity-academy.com

Jan Koch

Jan Koch


Maximilian Kuhn, M.Sc. RWTH
Project Staff
Complexity Management Academy GmbH
Campus Boulevard 30
D-52074 Aachen
T +49 241 80 28196
M +49 151 43164208

Email: maximilian.kuhn@complexity-academy.com

Maximilian Kuhn

Maximilian Kuhn


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Disclaimer

 

Limitation of liability for internal content

The content of our website has been compiled with meticulous care and to the best of our knowledge. However, we cannot assume any liability for the up-to-dateness, completeness or accuracy of any of the pages.

Pursuant to section 7, para. 1 of the TMG (Telemediengesetz – Tele Media Act by German law), we as service providers are liable for our own content on these pages in accordance with general laws. However, pursuant to sections 8 to 10 of the TMG, we as service providers are not under obligation to monitor external information provided or stored on our website. Once we have become aware of a specific infringement of the law, we will immediately remove the content in question. Any liability concerning this matter can only be assumed from the point in time at which the infringement becomes known to us.

Limitation of liability for external links

Our website contains links to the websites of third parties (“external links”). As the content of these websites is not under our control, we cannot assume any liability for such external content. In all cases, the provider of information of the linked websites is liable for the content and accuracy of the information provided. At the point in time when the links were placed, no infringements of the law were recognisable to us. As soon as an infringement of the law becomes known to us, we will immediately remove the link in question.

Copyright

The content and works published on this website are governed by the copyright laws of Germany. Any duplication, processing, distribution or any form of utilisation beyond the scope of copyright law shall require the prior written consent of the author or authors in question.

Data protection

A visit to our website can result in the storage on our server of information about the access (date, time, page accessed). This does not represent any analysis of personal data (e.g., name, address or e-mail address). If personal data are collected, this only occurs – to the extent possible – with the prior consent of the user of the website. Any forwarding of the data to third parties without the express consent of the user shall not take place.

We would like to expressly point out that the transmission of data via the Internet (e.g., by e-mail) can offer security vulnerabilities. It is therefore impossible to safeguard the data completely against access by third parties. We cannot assume any liability for damages arising as a result of such security vulnerabilities.

The use by third parties of all published contact details for the purpose of advertising is expressly excluded. We reserve the right to take legal steps in the case of the unsolicited sending of advertising information; e.g., by means of spam mail.