Workshop: AI basics and trade fair-specific use cases
Join us in shaping the future of your trade fair presence with intelligent, AI-supported solutions!
Many trade fair-specific workflows and processes can be optimized through the targeted use of AI solutions, for example through the (partial) automation of regular tasks. The use of artificial intelligence can also help to improve the basis for decision-making, for example by generating insights quickly and compactly.
In our first workshop “Fundamentals of AI and trade fair-specific use cases”, we would like to impart practice-oriented knowledge and work with you on relevant applications and use cases. We have defined a selection of trade fair-specific use cases that we believe are currently relevant. Do you already have a use case or an idea and are wondering how you can actually implement it? We will be happy to address your ideas and work with you during the workshop to develop a roadmap for prompt implementation and provide you with expert assessments of potential and feasibility. To give you an idea of the workshop schedule, you will find a sample agenda here. In general, we customize our workshop according to your needs.
Day 1: Introduction to artificial intelligence and identification of relevant use cases
- Welcome and objectives: Presentation of the workshop objectives and procedure.
- Basics of artificial intelligence: imparting basic knowledge of AI, machine learning and their relevance for the trade fair industry.
- Presentation of use cases: Presentation of selected, trade fair-specific use cases that can be optimized by AI, such as the creation of exhibitor profiles, the moderation of event calendars or the analysis of visitor feedback.
- Interactive discussion and development of own use cases: Participants identify and design individual use cases for their specific business requirements in a moderated session. The three most promising use cases will be selected for in-depth analysis on the following day.
Day 2: Deepening and practical implementation of the selected use cases
- Deep dive into the selected use cases: Detailed analysis of the specifically developed use cases, including feasibility studies, best practices and success stories from the trade fair industry.
- Practical exercises: Hands-on sessions on the application of AI tools and technologies that participants can use to implement their use cases.
- Development of an implementation roadmap: Development of concrete steps and prioritized measures for the implementation of AI solutions in your own company.
- Final discussion and feedback: Summary of the results, clarification of open questions and definition of the next steps for successful implementation.
The cost of the two-day workshop at your premises is EUR 4,990.
Your speakers are
Dr. Oliver Völkel, Senior AI Consultant
Oliver holds a doctorate in astrophysics and conducted research into the statistical properties of planetary populations at the Max Planck Institute for Astronomy in Heidelberg. After completing his doctorate, he received an EXIST start-up grant and was subsequently supported by the Max Planck Society’s start-up initiative (MAX!mize). Together with Tobias Moldenhauer, he founded sci-an GmbH as a spin-off of the Max Planck Institute for Astronomy, which specializes in the development of AI-based data solutions in the field of customer and subscriber analytics. Oliver has many years of scientific and technical experience in the development of complex data-based solutions.
Dr. Tobias Moldenhauer, Senior AI Consultant
Tobias also holds a doctorate in astrophysics and conducted research at the University of Tübingen on computer-based simulations of the formation of planetary atmospheres. After completing his doctorate, he received an EXIST start-up grant and was subsequently supported by the Max Planck Society’s start-up initiative (MAX!mize). Together with Oliver Völkel, he founded sci-an GmbH as a spin-off of the Max Planck Institute for Astronomy, which specializes in the development of AI-based data solutions in the field of customer and subscriber analytics. Tobias has many years of experience as a full-stack developer for scalable and cloud-based applications.
Thomas Schwarzenböck, Senior AI Consultant
Thomas holds a degree in automotive engineering and has extensive product management expertise, which he has acquired over several years in various industries. At adventics, he is responsible for the development and implementation of lead tracking solutions. Over the past years, he has gained profound expertise in the ideation, development and implementation of AI use cases based on a deep understanding of the interfaces between technology, product strategy and user requirements.
Dr. Lars Schmitt, Team Leader Consulting
Lars holds a doctorate in economics and worked intensively on digital business models as part of his research at the Technical University of Munich. This was followed by several activities in product and innovation management, including in the trade fair context at an event platform provider. Lars is currently involved in several consulting projects for trade fair companies.
