Introducing – Data, AI and Machine Learning Forum Series
Machine learning and AI depend on data. Yet many research projects involve early-stage process development with limited data and few experiments. Research activities are only one link in a larger chain. Optimizing a single process step may miss strategically important data connected to manufacturing, sustainability, traceability, and exploitation.
What data should be considered before large datasets are available?
The forum opens discussion around “machine learning and AI before machine learning and AI” and aims to build understanding how early-stage projects can prepare for data-driven value creation.