Educational Webinars
AI in material development and quality control
Read more
Explore how artificial intelligence transforms polymer analysis by solving data fragmentation issues, optimizing laboratory testing, and enhancing material understanding.
Artificial intelligence: from material and laboratory data to better products
Posted 1st of February 2024
SPEAKER
Charles Jouanique
Charles Jouanique has been active in the industry for over 13 years. In addition to developing new digital business models, he is also an entrepreneur and a multiple business angel for startups. He is the Co-Founder in charge of Sales & Marketing at LabV, a software company within the NETZSCH Group.
ABSTRACT
Artificial intelligence (AI) is a breakthrough technology that is starting to make a significant impact on material development and quality control. Engineers and quality managers can now quickly analyze data, predict how materials will behave, and find new ones with desirable properties. Discover how these intelligent tools help optimize manufacturing processes, ensuring cost-effective and high-quality products, while automating repetitive tasks to enhance productivity in the lab.
Join our webinar to understand how the combination of material and testing data with intelligent algorithms facilitates accurate predictions of material performance, identifies patterns that humans alone might miss and recognizes defects or irregularities in materials during the manufacturing process. Based on real-world examples from the industry, learn how every lab can start using the power of intelligence effortlessly, without requiring advanced software competence.