Continuing on in our series on exotic programming ideas, we're going to explore the topic of logic programming and a particular form known as datalog. Datalog is executed by a query processor that given these two inputs, finds all instance of facts implied by both the databased and rules. For our examples we're going to be coding our examples in the Souffle language. The namesake of the language is an acronym for the Systematic, Ontological, Undiscovered Fact Finding Logic Engine. Souffle is a minimalist datalog system designed for complex queries over large data sets, such as those encountered in the context of doing static program analysis over large codebases.

If you are a major manufacturer in 2020 and you have employed the likes of Deloitte, McKinsey or PWC, it is safe to assume that they have advised you to invest big in artificial intelligence and machine learning. According to reports by Deloitte and McKinsey, machine learning improves product quality and has the potential to double cash flow. Let's take a look at three global manufacturers who are already on board. SEE ALSO: Introduction to machine learning in Node.js Siemens is the largest industrial manufacturer in Europe, and whether they are putting together planes, trains or automobiles, their goal is to solve production challenges efficiently and sustainably.