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19.11.2026 ical

AI in materials testing: Where data, algorithms, and expertise come together

In this webinar, you will learn

  • How artificial intelligence is already being used in materials testing today and what opportunities this presents for your day-to-day testing work.
  • How AI automatically detects cracks in real time during hole expansion tests in accordance with ISO 16630, thereby reducing operator influence.
  • How AI-based image analysis in hardness testing delivers reliable results even on challenging surfaces.
  • How Smart Services support day-to-day operations within the testing laboratory.
  • How AI-supported tensile testingcould support the entire testing process in the future, from test preparation and execution through to the plausibility check of the results.
  • What roledata quality, training data, and algorithms play in producing reliable AI results.
  • Why the interaction of data, algorithms, and human expertise is crucial for the successful use of AI in materials testing.

Benefits

  • Gain a practical understanding of AI:Explore real-world applications instead of abstract future scenarios.
  • Increase testing reliability: Reduce operator influence and achieve more reliable results.
  • Boost efficiency: Leverage automated detection and analysis to minimize manual follow-up work.
  • Identify potential: Understand where AI already delivers value today and what possibilities may emerge in the future.
  • Make informed decisions: Better assess the opportunities and potential applications of AI for your own materials testing.

Target group

  • Test engineers
  • Laboratory and quality managers
  • Developers

Sign up now for our free webinar

Reserve your spot and learn, through real-world examples, how AI is already supporting materials testing today and what opportunities it holds for the future.

09:30 AM (CET) and 3:00 PM (CET)

 

Presenter

Marks
Vanessa Marks

Project Manager Software Product Management & Data Analytics - ZwickRoell GmbH & Co. KG

Vanessa Marks is Team Lead Product Management Digital Services & AI at ZwickRoell. With more than eight years of experience in product management, software development, and data science, she is passionate about creating user-centric digital products. Together with interdisciplinary teams, she turns emerging technologies into scalable products and services for customers, sales, and service teams. Her areas of expertise include generative and agentic AI, AI-powered knowledge management, and the digital transformation of testing and service processes. She also holds a Master of Science from Stuttgart Media University, which she completed alongside her professional career, with a focus on data architecture, business intelligence, and big data.

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