Toward Systematic Data Engineering
Dear friends, I’ve seen many new technologies go through a predictable process on their journey from idea to large scale adoption. First, a handful of experts apply their ideas intuitively. For example, 15 years ago, a handful of individuals were building neural networks from scratch in
When the AI and Spirit Worlds Collide - category: Just For Fun
Dear friends, On Halloween, the veil lifts between the spirit and AI worlds, allowing the two to pass through one another. The resulting paranormal — or, as AI practitioners call it, paragaussian — phenomena raise questions like these: What do you call it when it takes repeated practice t
Congrats to the Data-Centric Competition Winners!
Dear friends, In June, I announced the first Data-centric AI Competition. The deadline for submissions was in early September, and today I’m thrilled to announce the winners!A total of 489 individuals and teams submitted 2,458 unique datasets. By improving the da
Developing AI Products Part 5: Data Drift, Concept Drift, and Other Maintenance Issues
In earlier letters, I discussed some differences between developing traditional software and AI products, including the challenges of unclear technical feasibility, complex product specification, and need for data to start development.
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