Transforming ideas into AI-driven solutions

‍

How can Artificial Intelligence (AI) be effectively applied in business? Which approaches deliver real value – and how can organizations get started?

The AI Business Innovation Lab provides a practical framework to explore real-world business cases. In interactive sessions, participants develop initial prototypes for real challenges – accompanied by expert insights, use cases, and best practices on the strategic and operational use of generative and semantic AI.

Relevant challenges can be submitted during registration. Regardless of the level of experience – whether at the beginning or already on the journey – the exchange with other participants fosters practical insights and first solutions that can be directly refined and applied within the individual business context.

Agenda:‍

• 5:00 PM – Welcome
• 5:15 PM – Impulse talk: GenAI in Everyday Business – Strategies & Hacks (Daniel Pötzinger & Christian Gaege)
• 5:35 PM – Presentation of prioritized business challenges
• 5:45 PM – Group work in parallel sessions
• 6:45 PM – Presentation of results
• 7:00 PM – Impulse talk: The future of human-machine collaboration: Symbiotic AI (Stefan Bertram)
• 7:20 PM – Presentation of prioritized business challenges
• 7:30 PM – Group work in parallel sessions
• 8:30 PM – Presentation of results
• 8:45 PM – Dinner & Networking
• 9:30 PM – End

📅 Date: May 05th, 2025
📍 Location: AOE GmbH, Luisenforum 4. OG, Kirchgasse 6, Wiesbaden
💬 Hosts: Safari Consulting & AOE Group

What is a challenge?

‍

A challenge is a specific business challenge in your company where AI could potentially offer added value. It is about real problems or optimization potential from your day-to-day work - from increasing efficiency in processes to the use of unused data to the automation of recurring tasks. Your challenge should be specific enough to develop initial solutions in a one-hour session, but also relevant enough to create real business value.

‍

Examples of challenges:

• How can we increase the efficiency of our sales processes so that we spend less time on admin and have more time with customers?
• How can we improve quality control in production through AI-supported image analysis?
• How can we make internal knowledge databases more efficiently accessible through semantic search?

‍

How to submit a challenge?

Simply use the registration form and add your challenge in the appropriate field. The most interesting challenges will be selected and used in a co-working session.

‍