SLED Opportunity · MICHIGAN · FERRIS STATE UNIVERSITY
AI Summary
Ferris State University seeks vendors for consulting, implementation, and training to develop an on-premises AI research environment focused on clinical and healthcare data analytics, including AI model deployment, data processing pipelines, and integration with analytics platforms.
Ferris State University is seeking proposals from qualified vendors to provide consulting, implementation, and training services to support the development and operationalization of an on-premises artificial intelligence (AI) research environment. The primary objective of this project is to design, implement, and operationalize a lightweight, secure, and sustainable AI workflow capable of supporting clinical and healthcare data analytics. This includes enabling automated data processing, classification, and generation of narrative outputs to support analytics platforms such as Power BI. The University has recently invested in local (on-premises) server infrastructure to support AI research and requires vendor expertise to: Identify and deploy appropriate AI models compatible with local hardware constraints Develop a scalable and reproducible pipeline for data processing and AI-driven outputs Integrate AI outputs into existing institutional analytics environments Provide training and documentation to ensure long-term sustainability and internal capability The University’s goal is to establish a practical, production-ready minimum viable AI workflow (MVP) that can be expanded in future phases while maintaining data security, efficiency, and operational feasibility within an on-premises environment.
SLED stands for State, Local, and Education. These are solicitations issued by state governments, counties, cities, school districts, utilities, and higher education institutions — as opposed to federal agencies.
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