• June 13, 2024

    Discover how AI is transforming project management by automating workflows and improving efficiency by 38%. Our analysis reveals significant potential in resource management, planning, and data updating. Learn about three approaches to integrating AI into your company to enhance project quality and decision-making.

  • January 24, 2024

    Discover generative AI's potential! Bloomberg Intelligence foresees a €1.2 trillion market by 2032. While ChatGPT showcases tech, it's crucial to differentiate the application from the model. Companies can thrive by identifying tailored generative AI scenarios. The market offers opportunities in hardware, software, and inference devices.

  • September 4, 2023

    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.

  • September 4, 2023

    Where lie the key differences in the AI 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.

  • April 24, 2023

    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.

  • April 24, 2023

    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.

  • April 24, 2023

    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.

  • February 7, 2023

    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.

  • January 26, 2023

    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?

  • October 11, 2022

    In the current issue of Projektmagazin, our colleagues Marc Bollmann, Dr. Marc Großerüschkamp, and Mayanga Ngoy explain how artificial intelligence could be used to optimize your resource planning. Read the summary of the article here.

  • August 3, 2021

    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.

  • March 22, 2021

    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.