Updates on Artificial Intelligence

Where lie the key differences in the development process between classical software and AI? This is what our AI experts Dr. Marc Großerüschkamp and Mina Khosravifard discuss in this interview. They focus especially on the role of data and the security of AI systems.

ISO 8800 is soon to be released – it will play an important role when it comes to the question of how to ensure that AI-powered road vehicles operate safely and reliably. In this interview, Sascha Hackmann, our Head of Automated Driving, investigates the significance of AI technology in automotive industry and the crucial questions concerning the intersection of AI and the safety of road vehicles.

What concrete steps can you take to harness AI and machine learning for your own production? Read part two of our interview "Predictive Quality - Opportunities of AI in Production". Christopher Seinecke and Dr. Marc Großerüschkamp take a closer look at the technical context, answer the question of the relevance of the data an AI learns from, and address concerns that the use of AI raises.

Jan Zutter, Head of Systems Engineering at INVENSITY, and Christian Dahm, Systems Engineering Consultant at INVENSITY, discuss the advantages and potential risks of switching to and using MBSE in development. They explore the question of how safety management can benefit from a model-based development approach.

What impact does hybrid working have on collaboration in innovation and change projects? And how can good leadership keep employee productivity consistently high and perhaps even increase it? Read our latest blog-post to find answers to these questions.

Where do the potentials of AI applications lie, especially in system and machine operation as well as in production, and also for medium-sized companies? Dr. Marc Großerüschkamp and Christopher Seinecke discuss this question in this expert interview.

Artificial intelligences are becoming more and more common in companies and in our everyday life. This raises the question why project management in companies is still almost completely unaffected by artificial intelligence?

The goal of the KARLI project is to develop an adaptive, responsive and level-compliant interaction between humans and the vehicle of the future and to use Artificial intelligence (AI) methods to develop new safety-related assistance systems. Dr. Marc Großerüschkamp is the Head of Technology Hub and the person responsible for INVENSITY’s part within the KARLI project. In this short interview he provides insights into the project.

Do you want to know how to win the innovation race? Then check out the third part of our three-part blog series about systematic innovation. Our expert in innovation and innovation management Volker Lippitz presents the way to bring forth innovation with the help of systematic innovation. At the end of the third part, he summarizes some arguments for the thesis that innovation needs more pragmatism and systematics and gives an overview of the key learnings.

Do you want to know how to win the innovation race? Then check out the second part of our three-part blog series about systematic innovation. Our expert in innovation and innovation management Volker Lippitz illuminates the reasons why creativity dominates the innovation process even though it is in direct conflict with essential company interests and juxtaposes in-house innovation management and radical innovation management.

Do you want to know how to win the innovation race? Then check out the first part of our three-part blog series about systematic innovation. Our expert in innovation and innovation management Volker Lippitz not only explains the difference between a creative and systematic approach, but gives valuable background information about how to use the systematic approach to create innovations.

In our interview with Eric von Hippel and Sandro Kaulartz we talk about a new approach to the division of labor in product innovation and innovation in general using artificial intelligence and user innovations.