AI is a set of technologies that excel at extracting information and patterns from large data sets. AI can use this information and patterns to make predictions about what determines the outcome. It can even learn to improve its predictions over time. This makes AI perfect for anyone using analytical data to make decisions. 

We're talking data analytics using systems like Google Analytics, automation platforms, business intelligence systems, content management systems, and CRMs. With AI Data Analytics, you can get more value from the data you already have, unify it, and make increasingly valuable predictions based on your data.

Traditionally, search engines performed searches by comparing the keyword(s) queried with its index, also known as a keyword search. To narrow these results down, place the burden of the search structure on the searcher, requiring users to enter long or complex queries. Sometimes they have to use boolean operators to better communicate with the query engine.  

Natural Language Search is a shift in search thinking that goes beyond keyword matching. While keywords (or key concepts) are always important, with natural language understanding the aim is to gain more contextual information by analysing the questions (queries) being asked and then use them to help understand the context of these queries..