Jim Davis, UCLA Office of Advanced Research Computing, Vice Provost IT (CIO/CTO) & Professor Emeritus, executive oversight CESMII, highlights the findings of three industry-academic-government studies conducted between 2020 and 2025 on AI in Smart Manufacturing/I4.0 enterprises. These studies provide direction for CESMII’s operational AI and data strategies.
In CESMII terms, these studies address consistently processed AI-ready data and implementing AI-enabled applications. The focus is on AI-ready data at scale which requires:
- Data to be “un-siloed” (i.e. CESMII’s API initiative i3X)
- Data information models (i.e. SM Profiles) to be finalized and site-approved for data sources and data qualification
- Data types to be labeled and categorized for persistent interpretation, selection, reuse, validations, application certifications, and IP protections – everything in the context of the operation from which the data are collected
See below for an overview of the three studies. We highlight the third which benchmarks semiconductor cross-factory/cross company technical and business experiences and value points with scaled data and AI to increase productivity.