It’s cutting-edge now, but soon a data fabric will be an essential tool. Here’s how it will transform data architecture and create a new competitive advantage.
A problem from econometrics illustrates the difference between artificial and human intelligence. Understanding tacit knowledge and the limits of AI is crucial to deploying it effectively and fairly.
In order to use data effectively for any kind of analysis, data scientists must be able to clean and prepare it first. Fortunately, Python makes doing so easy.
Data modeling is the process of mapping out how major pieces of data will relate to one another before creating an analytical model. Here’s what you need to know.
