Our theme for this year, 'Agentic Multiverse of AI' is dedicated to exploring how businesses can navigate the dynamic world of data and AI while fostering an environment that drives creativity and innovation across the entire AI value chain. An exciting highlight topic will be Agentic AI and particularly Multi-Agent Systems (MAS) and their ability to create smarter workflows, offering transformative potential for businesses across industries. And together, we’ll examine the challenges Europe faces on its path to technological independence and global competitiveness.
Inspiring breakout sessions, keynotes, and panels led by industry experts will offer insights into the integration of AI within organizations. We’ll also dive into how emerging technologies are reshaping the way we work with data and processes, and how businesses can navigate regulatory requirements within the EU.
Join us in shaping the future of AI in Europe. We look forward to welcoming you to DAISC25!
The conference will be held in English.
Launch into the
agentic multiverse!
400+
Data & AI Experts
10+
Speakers from different industries
Alexander Thamm
Founder & CEO
[at]
Alexander Thamm
Founder & CEO
[at]
Breakout Sessions
Dive into focused, interactive discussions that bring the Agentic Multiverse of AI to life. These sessions offer direct access to experts, hands-on collaboration, and tailored insights to spark innovation and tackle real-world challenges.
Keynotes
Step into the minds of pioneers as they chart the course for Data & AI’s role in Europa. Each keynote provides fresh perspectives and actionable ideas to empower your journey in the multiverse of AI.
Networking
Connect instantly to share insights and experiences with experts in AI and Data. Nowhere else can you expand your network so quickly and extensively while generating valuable new ideas. Get to know key decision-makers (CEOs, board members, department heads) from reputable companies across industries at an event which fosters knowledge exchange.
Panel
Join a dynamic discussion where industry pioneers and thought leaders debate, collaborate, and share diverse perspectives on the most pressing questions in AI.
Speaker
Dr. Thomas Illing
Brain Division Director Validation, Valeo
Tanja Schlesinger
VP OneSource & Data & AI Officer, DB Regio AG
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Arne Steinkraus
Head of Data & Analytics Hub, Swiss Life
Maximilian Freier
AI Coordinator for the Directorate General Economics, ECB
Dr.-Ing. Susan Wegner
Head of Group Data & AI, Allianz SE
Dr. Michael Zimmer
CDAO, W&W Gruppe
Anna Kopp
Director Microsoft Digital Germany, Microsoft
Pascale Schäfer
Head of Analytics & AI, DB InfraGO
Maria Sukhareva
Principal Key Expert AI, Siemens AG
Samir Shehata
Product Manager, Wertstatt 8 (Venture of Energie AG)
Dr. Andreas Becks
Strategic Advisor, Ab Initio
Verena Laumayer
Director Woman in Tech, SAP
Benjamin Jansen
CRM & Digital Project Manager, Stöckli
Harry Ritchie
Senior Customer Success Engineer, Dataiku
Patrick Mueller
Business Owner Digitalization, Siemens Energy
Dr. Heinrich Gotzig
Advanced Development Director, Valeo
Dr. Christina Sievers
Partner, [at]
Niels Rasmussen
plus RASMUSSEN GmbH & Co. KG
Harald Erb
Principal Solution Engineer, Snowflake
Fabian Liße
Sales Director Data Analytics, Altair
Jan Ulrich Maue
Senior Sales Engineer, Denodo
Dr. Johannes Nagele
Senior Principal AI Researcher, [at]
Daria Mühlethaler
Country Director, [at]
Dr. Matthias Lein
CTO, [at]
Simon Decker
Head of New Business Development, [at]
Dr. Philipp Schwartenbeck
Principal Data Scientist, [at]
Alexander Thamm
CEO, [at]
Agenda
10:00
Opening Session 'Agents of Change – New AI Frontiers'
Dr. Johannes Nagele, Senior Principal AI Researcher, [at]
Dr. Matthias Lein, CTO, [at]
Moderation: Dr. Christina Sievers, Partner and Simon Decker, Head of New Business Development, [at]
10:45
AI Adventure – Data Literacy Gamified
Anna Korotkova, Livia Kaiser, Julian Germek from [at]
Introduction to Data Literacy
Discover what Data Literacy is, why it matters, and how gamification can enhance learning.
Let’s Play: AI Adventure
Experience the first chapter of our latest AI Adventure! Join Anna Lytics in her intergalactic mission to catch an evil scientist.
Bring your questions for an open discussion.
Deep Dive: Data products in practice
Dr. Andreas Becks, Strategic Advisor, Ab Initio
Talking with (Meta-)Data: Modern interaction concepts for data marketplaces
Ensuring economic efficiency: Creating and maintaining valuable data products efficiently
Governance from a business perspective: increasing reach with intelligent automation. Best practices from different industries.
Agent 007 – License to Scale?
Building and Scaling Your AI Agents with Control
Harry Ritchie, Senior Customer Success Engineer, Dataiku
AI agents promise automation and efficiency, but how can enterprises build and scale them while maintaining control? This session combines expert insights with hands-on implementation. Explore the strategic role of AI agents and their distinction from GenAI. Then, get practical in a live coding session, where we'll build an AI agent using Dataiku’s LLM Mesh.
AI portfolio management: hands-on workshop for decision makers
Dr. Matthias Lein & Henrik Maas, [at] Casebase
The rapid advances in Agentic AI give rise to a central question: How do we have to adapt our funnel and portfolio management to maintain a balance between speed and governance?
This session shows how a modernized stage-gate model built on proven artifacts from classical AI and microservice management and expanded with new agent-specific validations ensures structure, transparency, and risk control.
11:25
Coffee Break
12:00
Women in Data & AI Talk
Moderation: Dr. Christina Sievers, Partner [at]
Anna Kopp, Director Microsoft Digital Germany, Microsoft Germany
Verena Laumayer, Director of SAP Women in Tech
Pascale Schäfer, Head of Analytics & AI, DB InfraGO
Dr.-Ing. Susan Wegner, Head of Group Data & AI, Allianz SE
Data and AI are shaping our future – but why are women still underrepresented in this field? And how should education evolve to attract more women to technology? In this session, experts will discuss visibility, leadership, and the role of women as role models discussion.
How to unlock unstructured data insights and build accurate AI Agents
Harald Erb, Principal Solution Engineer, Snowflake
When it comes to enterprise AI, accuracy isn’t optional—it’s everything. This talk focuses on two Snowflake AI services, Cortex Analyst and Cortex Search, which can be used standalone or for planning, orchestrating, and executing tasks with advanced reasoning and retrieval using Snowflake Cortex Agents. But before taking a look under the hood, there will first be a brief overview of the Snowflake AI Data Cloud, how this platform is built, and the principles (the “Snowflake Way”) that underpin it. Two topics will then be explored in more detail and presented live in short demos:
Unstructured data insights – e.g. by building AI enriched data pipelines with serverless access to LLM’s. AI powered data agents – by using flexible conversational apps, delivering data-grounded responses using Snowflake’s AI services Cortex Analyst (Text-2-SQL with semantics) and Cortex Search (combined vector and keyword search, along with ensemble of reranking models and customizable scoring).
The role of Knowledge Graphs in the AI era
Fabian Liße, Sales Director Data Analytics, Altair
This presentation introduces Graph Studio, Altair’s enterprise-ready Knowledge Graph solution, and highlights its strategic role in AI era and Altair’s AI Fabric. Graph Studio empowers organizations to unlock the full value of their data by connecting siloed information and enabling context-aware insights. We’ll explore how it accelerates decision-making, enhances operational intelligence, and serves as a critical foundation for the AI era.
Future-Proof Data: How to Make Your Data Strategy Fit for AI and Digital Innovation
Jan Ulrich Maue, Senior Sales Engineer, Denodo
Everyone wants AI – but what does the right data strategy look like? In this interactive workshop, we’ll discuss how modern architectural approaches like Logical Data Management, Lakehouse models, or Cloud Data Warehouses can help drive innovation, control costs, and enable real-time data access.
Discussion topics:
What are the biggest challenges in making data AI-ready?
Are Lakehouse architectures the ultimate answer – or do they hit practical limits?
What role does Logical Data Management play when it comes to real-time data, governance, flexibility and cost control?
How can organizations scale AI initiatives without losing control of their data landscape?
12:40
Lunch
14:00
Next Generation eCommerce – Agentic AI Boosts Ski Sales with Dynamic Website
Benjamin Jansen, CRM & Digital Project Manager, Stöckli | Daria Mühlethaler, Country Director Switzerland, [at]
The multi-agent system increases customer satisfaction through personalised advice, increases conversion rates and sales. . The scalable, multilingual solution improves brand perception and creates competitive advantages by recognising trends and markets at an early stage.
14:30
Building Agentic GenAI Systems for Knowledge Management and Test Report Creation
Dr. Thomas Illing, Brain Division Director Validation and Master Expert & Dr. Heinrich Gotzig, PG Advanced Development Director and Master Expert , Valeo | Dr. Philipp Schwartenbeck, Principal Data Scientist, [at]
Those companies who successfully implement Gen AI are well prepared for future challenges. Key to this success is a productive implementation and a full demonstration of the RoI. After several discussions, Valeo has selected [at] as development partner starting with a PoC for intelligent knowledge management system. We present the key factors regarding our success story, the mandatory stakeholders and the importance of human-centric approach. We illustrate the application of those success factors in two projects that we conducted together, namely the intelligent knowledge management system and an intelligent copilot for test report creation based on agentic AI.
15:00
Causality in the Field of Machine Learning
Arne Steinkraus, Head of Data & Analytics Hub, Swiss Life
With the increasing importance of predictive ML models in industry and practice, decision makers are increasingly asking themselves which cause-effect relationship could have led the model to a certain prediction in order to support business decisions based on it. In the future, this need to explain correlations will increase massively if, for example, AI agents are required to act rationally.
15:30
Coffee Break & Networking
15:50
Data Governance at DB Regio: Best Practices for Onboarding Business Units
Tanja Schlesinger, VP OneSource & Data & AI Officer, DB Regio AG
Data Governance is important if nothing more important comes up? The Data Governance initiative by DB Regio AG's Data Office focuses on increasing data transparency, ensuring legally compliant data sharing, and improving data quality.
16:20
The Value of Agentic AI in the Maritime Industry
Patrick Müller, Product Manager Digital Marine Solutions and Services, Siemens Energy
The use of AI in the maritime industry is evolving rapidly and offers enormous potential for increased efficiency, automation, and sustainability. For nearly a decade, Siemens Energy has been developing and enhancing its data and AI eco-system – delivering tangible optimizations for maritime clients around the globe.
But what makes Agentic AI a true leap forward in creating additional value? And is the transition to productive use really as complex as it seems?
16:50
Agentic AI for Sustainable Decision-Making
Samir Shehata, Product Manager, Wertstatt 8 (venture of Energie AG)
Zusa is an AI-driven platform designed to enable sustainable living through intelligent decision support. As a corporate venture of one of Austria’s leading energy providers, sustainability is deeply embedded in our strategic vision. Leveraging Agentic AI, Zusa autonomously analyses user behaviour, detects patterns, and delivers proactive, data-driven recommendations to facilitate informed decision-making.
17:20
Coffee Break & Networking
17:40
Panel Discussion 'The Power of Agentic AI for Business Impact'
Dive into the transformative world of Agentic AI and discover how it is revolutionizing businesses. From strategic integration to ethical governance – learn how to unlock the full potential of this technology.
Moderation: Alexander Thamm, Founder & CEO, [at]
Maria Sukhareva, Principal Key Expert in AI, Siemens AG
Maximilian Freier, AI Coordinator for the Directorate General Economics, European Central Bank (ECB)
Niels S. Rasmussen, plus RASMUSSEN GmbH & Co. KG
Dr. Michael Zimmer, CDAO, W&W Gruppe
18:20
Closing Keynote
Alexander Thamm, Founder & CEO, [at]
19:00
Networking Reception
20:50
After Show Party with DJs
10:40 – 00:00 am
Breakout Session 1 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
Breakout Session 2 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
Breakout Session 3 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
00:00 – 00:00 am
Coffee Break
10:40 – 00:00 am
Breakout Session 1 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
Breakout Session 2 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
Breakout Session 3 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
00:00 – 00:00 am
Coffee Break
10:40 – 00:00 am
Breakout Session 4 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
Breakout Session 5 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
Breakout Session 6 |
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
00:00 – 00:00 am
Operating GenAI – LLMOps Best Practices
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
00:00 – 00:00 am
Operating GenAI – LLMOps Best Practices
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
00:00 – 00:00 am
Operating GenAI – LLMOps Best Practices
In this workshop, participants will explore the challenges of transitioning from prototype to product. Drawing from real-world examples and leveraging open-source solutions and Azure services, the focus is on LLMOps best practices. Key aspects covered include creating reusable pipelines for efficient model and prompt testing, constructing agents to orchestrate user requests, and implementing robust monitoring for application usage and cost control. Master the complexities of product operation with hands-on insights.
Kai Sahling, Principal MLOps Engineer | Alexander Thamm GmbH
Speakers & Panellists
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REGISTRATION
Location
Alte Kongresshalle
Am Bavariapark 14
80339 Munich
Arrival
By Public Transport
U-Bahn (Subway)
Take the U4 or U5 to Schwanthalerhöhe. From there, it's a 5-minute walk to the venue.
S-Bahn (Train)
Take any S-Bahn line to Hauptbahnhof (Central Station) and switch to the U-Bahn as described above or take bus line 62 towards Ostbahnhof and exit at Schwanthalerhöhe/Bavariapark.
Tram
The nearest tram stop is Schwanthalerhöhe/Bavariapark, served by tram lines 18 and 19.
By Car
The venue is easily accessible via the A96 and A9 motorways. Simply follow the signs to Munich city center and look for directions to Bavariapark or use the address in your GPS: Alte Kongresshalle, Am Bavariapark 14, 80339 Munich.
Parking
Parkhaus Forum Schwanthalerhöhe
Gollierstraße 6, 80339, Munich
Parkhaus Heimeranstraße
Heimeranstraße 25, 80339, Munich
Street Parking
Limited metered parking is available in the surrounding area. Please note that availability may be restricted, especially during peak hours.
Hotels
Hotels Near the Venue
Roomers Munich, Autograph Collection (5-star)
A comfortable and modern hotel, just a 15-minute walk from the venue.
Bavaria Boutique Hotel (Boutique Hotel)
A charming option with a cozy atmosphere, located a 7 min walk from the venue.
Meininger Hotel Munich City Center (Budget-friendly)
Located 15 minutes by foot from the Alte Kongresshalle.
Alternative Options
Airbnb
Explore apartments or private rooms in the surrounding Schwanthalerhöhe or Theresienwiese districts for a more personalized experience.
Hostels
For budget travellers, consider hostels like The 4You Hostel near Munich Central Station.
Make sure to book accommodations in advance, as Munich is a popular destination, and availability may be limited.
Our Sponsors
Asteroid Collaborator
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Lunar Advocate
Explorer
Discover our exclusive sponsorship packages!
Would you like to present your brand prominently at our event and benefit from a wide range of advantages? Our customised sponsorship packages offer you the opportunity to present yourself to a high-calibre audience, make valuable contacts and increase your visibility in the long term.
From exclusive branding opportunities to interactive workshops, we offer a range of packages that are perfectly tailored to your needs.
Interested? Contact us to learn more about our sponsorship packages and find the best option for you.
Testimonials
Contact
Marina Rubio Lopez
Event manager
Email
About Alexander Thamm
Alexander Thamm GmbH – [at] for short – is a consultancy specialising in data and artificial intelligence. [at] was founded in 2012 by Alexander Thamm and is now among the top consultancies in Europe with more than 500 employees. [at] positions itself as a partner that harmonises expert advice with concrete implementation. To date, [at] has realised more than 2,000 data and AI projects. [at] supports numerous DAX companies and SMEs on their data journey and has offices in Germany (Munich, Berlin, Cologne, Frankfurt, Stuttgart, Leipzig, Nuremberg, Essen), Austria (Innsbruck, Vienna) and Switzerland (Gossau).