ACCELERATE THE INNOVATION OF ENGINEERING

Building on insights from the Draghi report, "The Future of European Competitiveness" this year’s ESI symposium highlights the critical role of higher productivity in securing Europe’s competitive edge. Europe’s engineering sector plays a pivotal role in addressing the global demand for sustainable, efficient, and transformative technologies.
By focusing on enhancing research, bridging knowledge gaps, and streamlining collaboration, this event aims to inspire the next wave of engineering breakthroughs.

Join us as we explore this vital theme through various subtopics and insights. We will examine how generative AI and model-based techniques can be utilized to tackle these challenges. This theme builds on our previous focus on managing complexity in cyber-physical systems, which remains an ongoing challenge.

Stay tuned for more details on the program and speakers.

Gen AI to harvest legacy

Legacy systems are essential in high-tech industries but are difficult to maintain and understand. They generate vast amounts of data-code, documentation, logs, and more-crucial for tasks like code comprehension, issue resolution and requirement tracing. However, the overwhelming volume and complexity of those data make it challenging for engineers to interpret and utilise them effectively. 
This track explores how generative AI, combined with traditional techniques can help analyse and synthesise diverse data sources, provide developers with actionable insights and recommendations, improve efficiency and comprehension, and ultimately make maintenance and development more manageable.

Moderator: Rosilde Corvino, TNO-ESI

Intelligent diagnostics: Boosting equipment effectiveness

High-tech manufacturers are seeking ways to improve the servicing of their systems. This need is driven by the goal of ensuring overall equipment effectiveness, managing the ever-increasing complexity of systems, and addressing the challenge of scaling service organizations. Intelligent diagnostics leverages system knowledge, real-time data, and AI techniques to assist in designing diagnosable systems and to provide digital tools that support human decision-making.

Moderator: Marco Vicari, TNO-ESI

Future-fit organizations

The current trends in the high-tech industry present significant challenges and opportunities for organizations. It is crucial to understand and address these changes by developing effective strategies and best practices to thrive in this new era. Adopting an approach where technology and human skills complement each other can lead to more sustainable, resilient, and human-centric industrial practices, ultimately delivering better value for customers and stakeholders.

Moderator: Joana Teixeira, TNO-ESI

The quest for engineering productivity: a synthesis-based approach 

The high-tech industry is challenged to increase productivity due to increasing complexity of its systems and a shortage of skilled engineers. Code and configuration synthesis from increasingly high-level descriptions is a key promise of model-based engineering and enables automation in many areas, including implementation of supervisory controllers and synthesis and deployment of product variants.
This track will explore recent advancements in synthesis-based engineering and showcase its productivity benefits using examples from various domains.   

Moderator: Ben Pronk, TNO-ESI

Information follows on

• innovation market

• poster market

• other side activities

registration will start in April 2025