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TDWI Munich
24.6.2025
–
26.6.2025
Munich
Are You Ready for the Data Universe?
From June 24 to 26, 2025, welcome to TDWI Munich, the largest independent meeting place for data, analytics and AI in the German-speaking world!
Experience three days full of knowledge, networking and inspiration - the perfect combination of expertise and enthusiasm. Whether you are a data scientist, analyst, IT professional or decision-maker - the entire data community comes together to set new impulses and discover innovative solutions.TDWI Munich offers a unique mix of depth of content and thematic breadth - independent of manufacturers and trend areas. Here you will find the space to critically classify current developments, rethink proven technologies and exchange ideas with like-minded people in a practical way. A place where knowledge meets real networking - come along and immerse yourself in the Data Universe!
Discover Exciting Presentations
The Cargofleet Assistant - Artificial Intelligence in Transport Logistics
(Sebastian Petry)
June 24, 2025 - 11:35-12:20
idem telematics GmbH has developed an AI assistant and integrated it into its Cargofleet 3 platform. The assistant is designed to provide precise voice-controlled answers to complex questions in natural language without the need to understand data. The assistant uses a multi-level LLM process to decide on necessary data access and then dynamically generate database statements. The presentation provides a closer look at the project and shows the status using a prototype.
World Café- AI: Between Hype and Everyday Life (Sebastian Petry, Matthias Böck (FELD M.), Christoph Hoffmann)
June 24, 2025 - 14:30-15:30
Artificial intelligence (AI) is no longer a topic for the future, but is already shaping our everyday lives and the world of work. But where exactly is AI heading at the moment? What developments have we been able to follow in recent months and what can we expect in the coming years? In our interactive World Café, we would like to bring together experts, practitioners and interested parties to discuss key questions relating to AI. In addition to a compact overview of current developments, the focus will be on exchange: at several topic-specific tables, everyone can contribute their own thoughts and questions, discuss them with others and we can all learn from each other.
Thesisarena: Quo Vadis Data Mesh
June 24, 2025 - 17:30-18:15
We inviteyou to put forward bold and possibly provocative theses for discussion. Thepanel of experts will have the opportunity to position themselves pro or conand briefly explain this in a maximum of 1 minute per thesis. This results in acompact picture of the status of Data Mesh.
Success at Fiege Logistik Through Tailor-Made Data Products (Peer Carlson, Meik Truschkowski, Ben Wiens (Fiege))
June 25, 2025 - 15:20-16:20
Fiege Logistik is developing a new data platform based on Microsoft Azure. However, the initial strong focus on the source systems of a very heterogeneous system landscape led to challenges in the implementation of technical requirements. With the introduction of an individual model-based design, business analysis and data modeling were significantly improved. The optimized interaction of “push” from the data sources and “pull” from user requirements ensures the provision of custom-fit data products.
Address
MOC – Event Center Messe München
Lilienthalallee 40
80939 Munich
Date
24.6.2025
–
26.6.2025
Target Group
Data scientists, business or data analysts in the specialist area, in IT or in a management function
Costs
from 1,495 €
Event Language
German
Look Forward To:
- Over 100 sessions with around 150 renowned experts
- A uniquely broad range of topics - from established technologies to the latest trends
- Interactive formats such as hands-on workshops, dashboard karaoke and fishbowl discussions
- Inspiring application examples and insights from the field
- Numerous networking opportunities - from spontaneous exchanges in the expo to the convivial evening events
Meet Your Speakers
Dr. Sebastian Petry
Domain Lead Data Science & AI
Sebastian is a data scientist, data strategist and project manager with broad cross-industry experience from a large number of projects, most of which were implemented with international teams. His strengths are machine learning and AI solutions that are precisely tailored to the technical problem and the available data. His project responsibilities include use case ideation, roadmap creation, project management and the development of sustainable, value-creating concepts for the implementation of strategies and concrete solutions.
Klaus-Dieter Schulze
Managing Director
Klaus-Dieter Schulze has been working in management positions in consulting firms for over 25 years, focusing on the optimization of management systems in consulting firms and the development of data strategies and data governance concepts. he is a co-founder and member of the board of TDWI e.V., the largest German-speaking business intelligence community.
Peer M. Carlson
Principal Consultant
Peer has been working in the field of Business Intelligence & Data Analytics for many years and advises companies from various industries, in particular on the topics of data modeling, data vault, data warehouse architectures, business analysis and agile development methods (Scrum).
Meik Truschkowski
Principal Consultant
Meik Truschkowski has many years of experience in consulting with a focus on business intelligence, data warehousing and integration as well as data modeling. In his career to date, he has worked for a wide range of industries, with a particular focus on the manufacturing industry and the financial sector.
Event Agenda
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About b.telligent
b.telligent is a technology-independent consultancy specializing in analytics and data management. With over 400 employees at ten locations in Germany, Austria, Romania and Switzerland, b.telligent supports companies in all project phases, from strategy and analysis, to design and implementation, right through to operational management and continued development of the solution. The company's services are focused on the optimization of business processes and customer/supplier relationships.
