Interview: AI for product development – recipe for success of the AI Marketplace

The AI Marketplace was launched in January 2020 with the aim of establishing an ecosystem and a platform of the same name for artificial intelligence (AI) in product creation. Marc Foullois, research associate at the Fraunhofer-Institute for Mechatronic Systems Design IEM, explains in detail what is behind the term product creation and why AI is of particular importance in product creation.

What is the AI Marketplace?

In the AI Marketplace we are working on a digital platform that brings together AI experts, solution providers and manufacturing companies. This platform will be successively expanded to include functionalities that will enable us to jointly develop AI solutions for product creation and supply. At the same time, an innovation ecosystem of stakeholders for artificial intelligence in product creation will be established.

In the AI Marketplace, product creation is thus a thematic focus. Why?

This is absolutely obvious to us, since many project partners, such as the Heinz Nixdorf Institute, prostep ivip, the Fraunhofer IPK and also the Fraunhofer IEM, have many years of experience in the field of product creation. However, our motivation also stems from the fact that until recently, product development has received very little attention in research in the field of artificial intelligence. For this reason, a strong consortium has been formed, which brings comprehensive expertise in the field of AI, product creation and related areas.

How would you explain product creation?

Product creation describes all activities from the idea of a product to the start of production (SoP). This includes different areas such as strategic product planning, product development, service development and production system planning. In addition, there are also other cross-sectional processes such as PLM or quality management.

Does this mean that product creation and product development are not the same?

Exactly, in contrast to product creation, which describes the activities from the idea to the SoP as described above, product development is to be understood as the part of product creation that develops the technical solution. Product creation is classically described with the V-Modell, which is a process model. This starts at the top left of the “V” with the requirements for the system to be developed, followed by the development phases system design, where the system is conceptualized, the, domain-specific design, where the work is carried out in the different disciplines such as mechanics, electrical engineering and software, and the system integration and the verification and validation of the system, which results in a fully developed product. Accordingly, product development is an essential part of product creation, but is not equal to it.

Artificial intelligence seems to be the panacea for the industry. What potential do you see for product development?

This does not come out of the blue at all. There are now some studies that predict enormous potential for product creation. Reduction of development costs by up to 15%, shortening of time-to-market by up to 50% and an increase in productivity of 0.8 to 1.4%, to name just a few of the figures. But these studies should be treated with caution. Concrete challenges posed by AI applications must be solved or supported and the added value of these applications must be determined. Only then can we evaluate whether the forecasts are realistic.

And how should artificial intelligence be implemented in product creation?

The important thing here is to expand our expertise. We are talking about a field in which up to now almost exclusively research institutes and corporations such as IBM and Google have been active. Manufacturing companies should not claim to be the only ones active in this field. Such research projects like the AI Marketplace offer companies the opportunity to gain experience with AI applications. The areas of application range from AI-supported service engineering to automatic labeling of video data and AI-supported feasibility studies. Furthermore, the partners also have the opportunity to initiate cooperations for future AI projects. In the AI Marketplace, we strive to create an ecosystem of stakeholders around a platform, so that providers and users are brought together beyond the project framework.



You may also be interested in

moonshots & moneten 2024

Great news for all those who follow the start-up scene in Ostwestfalen-Lippe: AI Marketplace has won a wildcard for the upcoming “OWL Start-up Pitch” at the Mountain Camp of the …

Zwei junge Kollegen betrachten eine digitale Modelldarstellung

Using Chat with Product Data? The Future of PLM and Artificial Intelligence

What is AI and how does it change the way engineers work? In a hands-on webinar, we join experts from the Fraunhofer Institute for Mechatronics Design IEM and Aras to shed light on the exciting world of artificial intelligence (AI) in conjunction with product lifecycle management (PLM).

Menschengruppe steht im Innenhof eines Bürogebäudes.

KI-Marktplatz: Wie Künstliche Intelligenz das Engineering revolutioniert

Gefördertes Forschungsprojekt endet – Start-up macht weiter Entwicklungszeiten verringern, Kosten reduzieren und zeitgleich die Produktivität steigern: Warum sich Unternehmen mit Künstlicher Intelligenz (KI) im Engineering beschäftigen sollten, hat das vom …

AI Marketplace: thinking outside the box to find solutions

The AI Marketplace offers technical solutions and solution paths on the topic of artificial intelligence. We spoke with Leon Özcan and Christoph Mertens about the next steps.

From AI to sustainability – OWL at Hannover Messe

AI and sustainability – these were the key topics with which the OstWestfalenLippe region presented itself at this year’s Hannover Messe from April 17 to 21. The world’s leading trade …

Sustainability and engineering – how do they go together?

In the AI Marketplace, we are showing levers for more sustainable engineering with a new campaign.

Hannover Messe 2023

AI and sustainability – these are the main topics with which the OstWestfalenLippe region will present itself at the Hannover Messe from April 17 to 21. Included: the AI marketplace in the heart of Hall 7.

Das Wort Change prangt als weiße Schrift auf schwarzem Grund und spiegelt sich. Es soll den Einsatz von Künstlicher Intelligenz im Change Management darstellen.

Wie Künstliche Intelligenz das Change Management verbessert

Das Change-Management ist in der Produkt- und Dienstleistungsentwicklung von großer Bedeutung. Künstliche Intelligenz kann dabei helfen, Auswirkungen von Änderungen frühzeitig zu identifizieren und Fehler in der Entwicklung zu vermeiden.

Zwei Personen sitzen vor Dokumenten und analysieren Wettbewerbsdaten.

Effiziente Wettbewerbsanalyse unterstützt von KI

KI kann Unternehmen bei der Durchführung einer kontinuierlichen Wettbewerbsanalyse unterstützen, indem sie die Aufbereitung und Recherche von Daten automatisieren und die Interpretation und Visualisierung von Analysen vereinfachen.

Vier Textmarker sind auf weißem Grund zu sehen. Ein blauer, ein lilaner und ein oranger Textmarker sind geschlossen. Ein pinker Textmarker ist geöffnet.

Systementwurf: Dank KI relevante Infos extrahieren

KI kann beim Systementwurf unterstützen, indem sie relevante Informationen aus Prüf- und Testberichten extrahiert und diese für den aktuellen Systementwurf vorselektiert. Dies führt zu einer Verbesserung des Endprodukts und einer Optimierung der Datenqualität und Dokumentation.

Ein Kabelbaum auf organgem Grund.

Automatisierte Konsistenz im E/E Bereich

Erfahren Sie, wie Künstliche Intelligenz bei der Sicherstellung der Konsistenz von Modellen zwischen OEM und Zulieferern helfen kann und welche Vorteile dies bietet.

Ein abstraktes 3D Modell soll ein CAD-Modell darstellen, das bei der Finite-Elemente-Methode benötigt wird.

KI-Unterstützung in der Finite-Elemente-Methode

Erfahren Sie, wie Künstliche Intelligenz in der Finite-Elemente-Analyse eingesetzt werden kann und welche Vorteile dies für Unternehmen bietet.