The World of Data
Experience the data event of the year!

–
May 8, 2026
online

Many organizations are still stuck in the AI/GenAI experimentation phase: proof of concepts, pilot projects, colorful idea lists – but little that truly scales, secures budget, and creates lasting value.
In this 90-minute interactive webinar, you’ll learn how to move systematically from initial GenAI ideas to concrete, prioritized use cases with clear business impact. Instead of a technology-driven playground, we present our proven Data & AI Potentials Workshop—a structured approach that starts with real-world business problems, systematically identifies AI potential (from traditional ML to GenAI), fosters creativity, and integrates business-case thinking from the outset.
Lea Lieb and Lennart Werner will guide you through the Data & AI Potentials Workshop and show you how to design AI initiatives that win over both business units and management. Matthias Seil from Microsoft will round out the session with insights into Microsoft’s AI platform and concrete implementation strategies.
This webinar is designed for decision-makers who don’t just want to try GenAI, but want to integrate it purposefully into value creation – especially:
Address
online
Date
–
May 8, 2026
Target Group
Business managers, product owners, innovation managers, data & AI leads
Costs
free
Event Language
German



Senior Specialist Partner Management
Lea has a deep understanding of customer needs and ecosystems in the data and AI environment and supports b.telligent in building strong technology partnerships and, together with partners, advancing data‑driven solutions for customers in the DACH region.

Management Consultant
Lennart is an experienced Data Strategy Consultant, Solution Architect, and Business Analyst with over a decade of experience in data management as well as in the development of holistic data, analytics, and AI strategies.

Solution Sales Lead Cloud Platforms at Microsoft
At Microsoft, Matthias advises companies on cloud, analytics, and AI solutions. He combines a strategic view of data platforms and data strategy with hands-on delivery to help organizations build modern analytics environments and bring practical AI use cases into the business.



