The study conducted by MCube on the added value of public transport quantifies its often underestimated economic importance. Its annual gross value added exceeds the costs many times over. In addition, public transport acts as a stimulus for numerous economic sectors such as retail, tourism, the real estate market and commuter traffic. The results underline the economic importance of public transport for a sustainable mobility strategy.

Digital health applications (DiGA) are an innovative element of care in the German healthcare system with the aim of providing evidence-based therapies at a low threshold and suitable for everyday use. Germany is playing a pioneering role internationally and is setting standards for the integration of digital medicine into standard care. The article highlights the therapeutic potential, presents practical experience from the care of over 35,000 patients with companion patella and companion shoulder and provides an outlook on new, increasingly challenging regulatory requirements.

In an era where prevention is becoming as critical as treatment, the convergence of artificial intelligence and non-invasive sensing is opening new frontiers in cardiovascular healthcare. This talk introduces the transformative potential of contactless, camera-based vital signs monitoring - a breakthrough that enables continuous, remote measurement of heart rate, respiratory rate, oxygen saturation, and even blood pressure using only a standard camera and advanced AI algorithms.

We'll explore how this technology redefines early screening and proactive management of cardiovascular diseases, particularly hypertension, which remains one of the world's most pervasive and silent killers. By enabling scalable, touch-free monitoring, this innovation empowers clinicians with new tools to detect anomalies early, personalize interventions, and reduce hospitalizations.

The presentation will highlight both the clinical opportunities and the patient impact, demonstrating how this technology not only enhances efficiency and accessibility in care delivery but also fosters a shift toward truly preventive, data-driven medicine. This is more than a technological leap, it is a paradigm shift in how we understand, monitor, and manage cardiovascular health at scale.

In a time of rapid technological developments, global markets and increasing crises, the health of employees is a decisive factor for the competitiveness of companies. In particular, the rising number of mental illnesses and the associated days of incapacity to work highlight the urgent need for action. Both individual health behavior and health-promoting work design play a central role here.

Today's workplace health promotion measures include risk analyses, training courses and workshops aimed at providing people with the knowledge they need to promote health in the workplace. The problem is that implementation often fails. A much-cited problem is the lack of learning transfer during training. People find it difficult to create intentions for changes that are recognized as important.

We have created the prototype for a new solution to this problem - the AI-supported app called AI Coach Work Health. It was developed as part of a one-year funding project in a collaborative team. The project was funded by the Federal Ministry of Labor and Social Affairs as part of the "Civic Innovation" funding program of the Civic Innovation Platform - public welfare-oriented AI application with a focus on labor and social policy.

The aim of the app is to support managers in successfully and sustainably implementing measures to promote (mental) health in the workplace - both for themselves and for their employees. However, the app is also aimed at the employees themselves. The app guides users through the scientifically based method of relapse management so that they can effectively change certain thought and behavior patterns or specific working conditions that lead to mental stress (e.g. stress and overload due to high work intensity). The associated 8-week program helps the user to recognize their progress and manage relapses into old patterns better and better. Every week, the user is encouraged to reflect on the current status of goal achievement and to make their own relapse plan even more effective. The program offers structured support to achieve desired changes safely and in the long term, thus contributing to the sustainable improvement of mental health in the workplace.

This app thus makes an important contribution to creating healthier working environments and strengthens the competitiveness of companies through healthier and more productive employees.

This video tells the idea in 2 min: youtu.be/N6PvOd0BgKw

Smartheim - How can cities and small municipalities benefit from digital twins?

The example of a "Smart City" is used to show:
- how authorities can benefit directly on the one hand,
- on the other hand the direct added value can be for the population but also e.g. building applicants and planners.

In this presentation, we will showcase a project in collaboration with our industrial partner, E.ON Digital Technology GmbH, and it is going to be jointly presented with Dr. Corey O'Meara. We explore an approach that allows us to leverage quantum algorithms in production without the need for costly access to quantum hardware, making advanced quantum techniques more accessible and practical for applications. We demonstrate the utility of this approach on power plant demand prediction problem and talk about future opportunities for implementation in diverse industries, highlighting its transformative impact on sectors such as energy, mobility, and healthcare.

A team of innovative companies is supporting the city of Essen in the digitalization of its transport system in order to realize connected and intelligent mobility in the Ruhr metropolis. ITK plays a key role in COMO (Connected Mobility Essen) and is developing the AI solution for real-time traffic management based on a modern forecasting algorithm for live data.

The integration of artificial intelligence (AI) into spatial analyses opens up new perspectives for the sustainability of urban systems. This presentation shows how the combination of AI with geographic information systems (GIS) not only significantly increases the efficiency of work processes, but also generates new insights that are essential for the development of a digital twin of a city. In particular, the combination of these technologies opens up new possibilities for modeling and analyzing urban ecosystems. Practical examples will be used to demonstrate how AI-supported GIS analyses can optimize urban planning and contribute to increasing ecological sustainability.

A promising approach to overcoming the complex challenges in industrial production planning and optimization lies in the use of quantum computing. In this lecture, practical applications of quantum computing to optimization problems in industrial production will be presented and their relevance for industry will be highlighted. Initial results show that hybrid quantum algorithms can already provide advantages over commercial classical solvers and solution methods. Thanks to the improved solution quality, resources such as machines can be utilized more efficiently or, alternatively, several scenarios can be considered in the same time.

Quantum computing can lead to disruptive changes in many areas of industry, for example through the more efficient solution of complex optimization problems in logistics or semiconductor manufacturing. However, in order for industry and society to fully benefit from future quantum computers, low-threshold access is needed that does not require users to have in-depth knowledge of the underlying physics or to manually test the numerous algorithmic configuration methods in quantum computing.

The QuaST decision tree, developed in the "QuaST - Quantum-enabling Software and Tools for Industrial Applications" project funded by the German Federal Ministry of Economics and Technology, provides just such low-threshold access. Quantum-based solutions to optimization problems are made available to the user in an automated manner, exploiting the strengths of both classical and quantum computers. The QuaST decision tree suggests to the user the most suitable quantum algorithms and quantum hardware for a previously defined optimization problem.

The BMFTR-funded EniQmA research project is developing applications and tools to help organizations harness the benefits of quantum computing.
In addition to a brief overview of quantum computing, the EniQmA project and the industrial use cases under consideration are presented.

Quantum computing (QC) is classified as a future key technology at both national and EU level. The immense potential of this technology can have disruptive effects for the economy and thus for the sovereignty of Germany and the EU as a whole. In order to fully exploit this potential, the necessary digital infrastructure must be developed and provided in addition to the underlying hardware.

This article presents the results of the QC Next innovation concept and its implications for future QC software development. In particular, the necessary innovative steps to strengthen the competitiveness of the German quantum computing software ecosystem against the international competition are discussed. This includes strategic approaches and goals as well as added value for future end users. A central approach is the pooling of expertise and resources in order to build a significant, scalable and efficient reference architecture. The realization of such a reference architecture in conjunction with a critical mass of QC software developers and components would be a strong impulse towards the realization and commercialization of concepts and applications in the field of quantum computing in Germany and Europe. This would contribute to strengthening the future key technology of quantum computing and digital sovereignty at national and European level.

Agentic AI systems make independent decisions, adapt to new information, and drive automation. However, their success depends on high-quality data. Poor data leads to unreliable outcomes, erodes trust, and impacts business performance. This talk dives into why data quality is essential for AI-driven decision-making and why it's not just a technical concern, but has critical business impact.

Companies face challenges in quickly launching products by meeting tight deadlines, reducing costs by achieving built-in quality, and generating sustainable value streams by upgrading their products after SOP to increase customer experience. Traditional software engineering practices are struggling to keep up with this increasing demand for faster, more efficient, and adaptive solutions in the rapidly evolving software-defined world. This is why there is a pressing need for innovative approaches that can enhance productivity and drive innovation.

AI-driven software engineering emerges as a revolutionary approach to address these challenges. This new paradigm aims to automate routine tasks, provide intelligent insights, and facilitate more efficient collaboration among development teams by leveraging collaborative AI agents. An AI agent is a software entity that autonomously performs tasks or makes decisions based on a natural language description interpreted by a large language model. A coordinated group of AI agents is leveraging collective capabilities to achieve goals more efficiently than a single agent could do on its own. This involves specialized agent roles that complement each other enabling them to handle complex tasks. The Multi-Agent system can take on tasks anywhere along the entire development cycle from requirements engineering to testing but also within supporting processes such as project management. This transforms the whole development lifecycle.

This presentation demonstrates how the traditional development processes such as V-model and agile, along with the necessary roles and process flows, can be transformed into a Many Multi-Agent Development System. Additionally, the role of the developer as the "Human in the Loop" is emphasized to ensure the constant quality and to facilitate continuous learning and adaption of the AI agents. Using an example in the area of requirements elicitation, the advantages of multi-agent systems are illustrated, showcasing their ability for efficient collaboration and problem-solving in complex development processes. This approach not only enhances productivity but also allows developers to focus on more creative and strategic tasks, ultimately leading to more innovative and robust software solutions.

Digitalization is shaping our society at an increasingly rapid pace and is fundamentally changing how companies work, interact with customers and assume responsibility. New technological possibilities, especially in the field of artificial intelligence, open up enormous opportunities, but at the same time present companies with the challenge of using innovations ethically and sustainably.

The responsible shaping of digitalization, also known as corporate digital responsibility (CDR), is becoming increasingly important in this context. Events such as the CDR Award highlight the many opportunities to place people and the environment more at the center of digital progress. Consumers in particular benefit from this, for example by being able to transparently track the handling of their data. For this reason, the Bavarian State Ministry of the Environment and Consumer Protection (StMUV) launched a CDR pilot project last year.

As part of this project, Bavarian SMEs are being supported in a multi-stage process to better understand the topic of digital responsibility and integrate it into their own processes in a meaningful way. As project results, including recommendations for action, will be made publicly available after completion, other companies can also benefit from the experience and support gained.

The presentation is divided into two parts: First, the StMUV will present the relevance of CDR for consumer protection. This will be followed by a brief introduction to the topic of corporate digital responsibility and how Bavarian SMEs can benefit from the CDR pilot project.

The requirements for corporate networks and security systems are changing radically: traditional, hardware-based architectures are increasingly reaching their limits in the face of cloud use, mobile working and growing threats. Analogous to the transformation of retail through platform models such as Amazon, SASE (Secure Access Service Edge) is also fundamentally changing the IT security landscape.

This pitch shows how Cato Networks is redefining network security as a service with a global, converged platform - flexible, scalable and easy to consume. IT teams not only gain greater control and visibility, but also the ability to future-proof their infrastructure with agility. The presentation will outline why the "Amazonization" of network security is no longer a vision, but already a reality - and what opportunities this presents for modern IT strategies.

We are writing the year 2025. Nobody drives a car without airbag and seatbelt. Our cars have become incredibly safe to use.
In stark contrast, we still find software for our most critical (embedded) systems developed using the state-of-the art from 50 years ago.
This short presentation consists of a practical demonstration of how unsafe software can let attackers skip security checks - and an outlook how modern programming languages mitigate up to 80% of security problems.

In today's interconnected world, few companies operate in isolation. A typical bill of materials (BOM) for any finished product reveals a web of dozens, if not hundreds, of suppliers. This intricate supply chain usually spans multiple companies, even countries and regulatory environments, making it nearly impossible to monitor and safeguard every component effectively.

The stakes are high: disruptions in the supply chain can lead to significant business setbacks.

In this landscape, the challenge becomes clear: how do we prioritize interoperability and seamless information exchange while simultaneously ensuring robust security and control?

Drawing on insights from one of the most complex supply chains-military multi-domain operations at NATO-we will present innovative solutions and essential capabilities to break this cycle. Join us as we explore strategies to enhance both interoperability and protection, paving the way for a more resilient future in supply chain management.

A speaker from the Cyber Alliance Centre of the Bavarian State Office for the Protection of the Constitution will present anonymized real cases to show how cleverly and professionally intelligence services operate in cyberspace and the danger they pose.

3D city models at the touch of a button.

Learn how easy it is to create 3D city models and even plan in them.

The aim of the workshop is for each participant to have created their own digital, three-dimensional (city) twin.

This workshop provides a practical overview of how to evaluate, manage, and improve your organization's application security program. It focuses on practices applicable both at the organizational level and within the software development lifecycle. Participants will gain guidance on using the OWASP SAMM (Software Assurance Maturity Model) framework to assess their current security posture, plan improvements, and avoid common implementation pitfalls. The goal of the workshop is to equip participants with the knowledge and tools to assess their application portfolio and establish or enhance their application security program

The digital transformation of the healthcare sector is progressing rapidly - driven by artificial intelligence (AI), augmented reality (AR) and new forms of networked, virtual spaces such as the spatial web and mesh platforms.

This workshop will shed light on how these technologies are already changing diagnostics, therapy and medical training as well as control and automated process organization in the healthcare sector - and where the journey is heading. Application examples will be used to show how AI supports precise diagnoses, AR enables immersive training and virtual collaboration spaces are ushering in a new era of interdisciplinary collaboration. In addition, the participants will work with us on the possibilities for future control and process-oriented management automation in the healthcare sector and the experiences and activities that the participants are already driving forward in this area. At the same time, ethical, regulatory and technological challenges associated with the integration of these innovations will be addressed.

The workshop invites participants to rethink healthcare - networked, intelligent and expanded.