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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks. A very big mess since circa 2001, and now becoming quite a dangerous mess.

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Data Science, Past & Future

Domino Data Lab

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Along with your database servers, you had, data warehousing and business intelligence. I can point to the year 2001. Then things changed.