Markus Hacker, Tabitha Kleine

Pioneering AI Assistants in Banking

How do you deploy generative AI for 200,000 banking employees without compromising data? Learn how Germany's largest banking group built their 100% on-premise solution.

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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