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Data & GenAI

Explore tools, frameworks, and architectures for building secure, scalable, high-performance AI systems.

About this Track

This track is for AI engineers, solution architects, and technical teams designing, deploying, and scaling AI systems. Explore the tools, frameworks, and architectures needed to ensure AI systems are robust, secure, and high-performing at scale.

Who Should Attend?

  • Software Architects

  • Technology Leaders

  • Data Scientists

  • Product Managers

What We'll Learn & Explore?

✓ Leverage structured data to create smarter AI agents.

✓ Use language models as core processing systems.

✓ Utilize advanced tools for AI agent development.

✓ Scale LLM-powered AI solutions for global enterprises.

✓ Monitor agent performance with observability tools in real-time.

✓ Deploy cutting-edge quantum AI innovations for future readiness.

✓ Automate workflows with robust task decomposition techniques.

✓ Integrate adaptive AI systems into enterprise environments seamlessly.

Key Speakers

Prof. Julie Wall

Professor of AI & Advanced Computing

University of West London

Alexander Schmitt

Head of Speech Technology #HeyMercedes

Mercedes-Benz

Markus Danhel

Head AI Software - Austria & Switzerland

IBM

Niklas Heidloff

AI Engineer and Developer

IBM

Lauren Schroeter

Head of Digital Innovation Projects

Henkel

Frank Giroux

Manager Digital Transformation

Bayer

Thomas Neumann

Global Lead on Conversational AI

Vodafone Group

Daniel Arnst

Senior Conversational AI Architect

Telefónica Germany

Daniel Krantz

Vice President AI

VIER

Denise Holtschulte, Dr.

Partner - Lead ai+

dbeyond ai+

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