Markus Hacker, Tabitha Kleine
Pioneering AI Assistants in Banking
#1about 2 minutes
Operating a banking platform at massive scale
Finanz Informatik serves 50 million customers and 200,000 employees across all banking channels, requiring highly scalable technology solutions.
#2about 2 minutes
Introducing the on-premise S-AIPilot assistant
The S-AIPilot was developed in six months to provide employees with an on-premise AI assistant for tasks like summarization and process documentation.
#3about 2 minutes
Automating quality management for investment calls
A practical demo shows how the AI assistant automates the review of long investment call recordings to ensure regulatory compliance.
#4about 2 minutes
Designing a secure, human-centered AI architecture
The system is built on a modular, three-layer architecture focused on user experience, specialized AI agents, and 100% on-premise data control.
#5about 6 minutes
Understanding the evolution from perception to agentic AI
AI has progressed from simple perception tasks like image recognition to generative models and now to complex agentic systems that can perform specific tasks.
#6about 3 minutes
Using NVIDIA's full-stack platform for developers
NVIDIA provides a complete software stack, including NIMs and Guardrails, to help developers easily and safely build and deploy AI applications.
#7about 3 minutes
Achieving massive energy efficiency in AI compute
Advances in GPU technology, from Kepler to Blackwell, have resulted in a 100,000x increase in energy efficiency for AI model inferencing.
#8about 1 minute
Recognizing Germany's vibrant AI startup ecosystem
Germany is home to a strong and innovative AI ecosystem with globally recognized companies like DeepL, Agile Robotics, and Black Forest Labs.
#9about 2 minutes
Creating a value-driven AI use case pipeline
The AI factory model involves identifying potential use cases across the organization and prioritizing them in a roadmap based on their business value.
#10about 2 minutes
Driving AI adoption as a cultural transformation
Successfully adopting AI requires fostering a company culture of curiosity, openness to exploration, and tolerance for mistakes across all teams.
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