Where Exactly Data Becomes Product: Illustrated Guide to Data Products in Action

Like all software systems, data or AI use cases are supported by deep underlying infrastructures. But why has the infrastructure specific to data evolved into one of the most overwhelming of the lot? The brief answer is the transient element of data, which isn’t such a dominating presence in general software systems. Data is varied, dynamic, and always surprising.As humans, we are tuned to invent as challenges come our way, and we did the same with data infrastructures—we added a new branch every time data acted a little moody, leading to uber-complex data pipelines and legacy structures that are impossible to demystify.The solution seems simple: Data itself needs to be built into the data infrastructure instead of just passing through pre-built nuts and bolts (which are decoupled from data).