Intelligent software solutions for a sustainable and efficient energy world
Gain practical insights into AI, AI Agents, AI Culture, and the AI Act – in the practical workshop, fortiss and other companies demonstrate how artificial intelligence can be successfully implemented, the opportunities and challenges it brings, and how it shapes everyday work.
Whether in the automotive, manufacturing or energy sectors, digital transformation presents companies with complex technological challenges.
fortiss supports companies with tailor-made, practical solutions – in close cooperation between science and industry.
fortiss is shaping the future ofAI Engineering by developing innovative approaches that make AI systems safer, more efficient, and more trustworthy. This paves the way for the reliable and transparent use of artificial intelligence.
Until now, software and systems engineering has focused on ensuring the reliability and security of relatively small, centralised and automated systems that operate in predictable environments. However, current and future requirements are increasingly shifting towards ensuring the trustworthiness of larger, dynamically networked, self-learning and constantly evolving, often autonomously acting systems. In the Software & Systems Engineering research focus area, fortiss is expanding the classic methods of model-based software and system development and integrating them with new development methods for data-driven applications.
The AI Engineering research area focuses on researching and developing a new generation of robust, trustworthy AI technologies that can make timely, safe decisions in uncertain and unpredictable environments. Our goal is to increase the trustworthiness and explainability of AI systems and ensure they are resilient to erroneous inputs and targeted attacks. The focus here is on processing large volumes of data as well as gaining knowledge from small amounts of data without jeopardising confidentiality and privacy.
In the IoT Engineering research focus area, fortiss develops flexible, software-based infrastructures that adapt dynamically to changing requirements. We integrate sensor, computer and communication capabilities into heterogeneous systems and penetrate critical infrastructures using software. Our focus is on the creation of resilient, decentralized systems, the transparent management of data and the further development of communication networks. We combine edge and cloud computing to enable efficient, secure and scalable IoT solutions for modern, dynamic environments.
