Updates on Artificial Intelligence

Whitepaper on Explainable AI: XAI is specifically designed to facilitate transparency, enhance the understandability of AI decisions, and foster trust in AI utilization.

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.

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.

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.

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.

Senior Project Management Consultant Marc Bollmann, Head of Software & Data Technologies Department Marc Großerüschkamp and Associate Project Management Consultant Johannes Behne discuss potential solutions that use AI to conduct risk analysis and status determination in project controlling.

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.

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?

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.

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.