Case in point is Jean-Jacques Dubray's post on InfoQ that addresses my post last week on the Common Data Model, and dealing with it within an SOA. From the article: ...

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.

With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

When that happens, a model is said to overfit its data. Related Story. Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist.

The rise of big data represents an opportunity for physicists. To take full advantage, however, they need a subtle but important shift in mindset. Let's face it, we've all been there: the ...