Educational Webinars
Material Intelligence for Process Engineering
Read more
Enhance laboratory operations with AI-driven solutions – streamline workflows, improve accuracy, and accelerate innovation with intelligent automation and real-time insights.
From Data to Decisions: Machine Learning in Material Development & QA/QC (In German only)
Posted 11th of March 2025
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
In process engineering, optimizing workflows often relies on the expertise of specialists. However, lab data, production parameters, and quality metrics frequently exist in isolation, making them difficult to leverage effectively. What are the consequences?
This webinar explains how the LabV Material Intelligence Platform consolidates, structures, and transforms process engineering data into actionable insights. Learn how the benefits of combining a modern database technology with AI-powered features revolutionize R&D in the manufacturing industry.
Critical points:
How to preserve and utilize process knowledge – Centrally manage process parameters to prevent data silos and information loss
How to leverage historical data for optimization and root cause analysis – Identify anomalies and efficiency potential through a structured data evaluation.
How to use AI-powered analytics – Automatically detect and interpret relationships between raw materials, process parameters, and final product quality.
How to enhance collaboration – A unified data foundation ensures transparency and simplifies communication within the organization.