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AI agents in industry: potential for R&D and QA

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AI Agents in Industry: Potential for R&D and Quality Assurance (In German language)

Posted 1st of April 2025

SPEAKER

Daniel Stroh

Daniel Stroh ist Sales Manager bei LabV und war von Beginn an in die Gründung des Unternehmens involviert. Mit seiner Erfahrung im Entrepreneurship trägt er maßgeblich zur Entwicklung und Skalierung bei. Bereits vor seiner Tätigkeit bei LabV hat er selbst ein Startup mitgegründet und bringt diese unternehmerische Erfahrung gezielt in seine Rolle ein.

ABSTRACT

Artificial Intelligence is evolving rapidly – but what concrete role do AI agents play in research & development and quality assurance? While traditional AI models analyze data and identify patterns, agent-based systems take it a step further: they process information autonomously, make decisions, and optimize processes.

But what does that mean in practice? Where is the real added value for companies, and what challenges need to be considered?

In this webinar, you will learn:

✔ What are AI agents and how do they work? – Key differences from traditional AI applications and their functionality.

✔ Practical use cases in R&D and Quality Assurance – From intelligent formulation optimization to predictive quality control.

✔ How AI agents leverage lab data – How structured data enables well-founded analyses and decisions.

✔ Adaptive process control & automated pattern recognition – How AI captures complex relationships and improves workflows.

✔ Technological maturity and feasibility – What is possible today and what hurdles still exist.

Gain a practical overview of the latest developments and potential of AI agents – and how they are transforming research, development, and quality assurance in a sustainable way.