“In consumer software, you can build one monolithic AI system to serve a hundred million or a billion users, and truly get a lot of value in that way.... But in manufacturing, every plant makes something different. So every manufacturing plant needs a custom AI system that is trained on their data" (from Andrew Ng predicts the next 10 years in AI).
This observation from Dr. Andrew Ng got me thinking about the importance of local school data. If every college/university is akin to a manufacturing plant, the data that is generated across a school's ecosystem is critical to leveraging artificial intelligence to enhance its business and academic units. Additionally, since the data is relatively small, "you need to rely heavily on human knowledge... The technical approach then has to be about building tools that let experts express the knowledge that is in their brain."
It is interesting to think about what infrastructure and culture are necessary to implement a data-centric AI approach, which emphasizes "quality data" over models, in a school of professional studies.
Watch "A Chat with Andrew on MLOps: From Model-centric to Data-centric AI" below to learn more.
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