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

Artificial intelligence is evolving rapidly, but which role do AI agents actually play in research & development and quality assurance? While classical AI models analyse data and detect patterns, agent systems take things a step further: they process information autonomously, make decisions, and optimise processes.

But what does this 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 AI agents are and how they work – differences compared to classical AI applications and their mechanisms.

✔ Practical use cases in R&D and QA – from intelligent formulation optimisation to predictive quality control.

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

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

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

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