How did business intelligence shift to artificial intelligence?

Nowadays, anyone can use tools in the field of business intelligence, data or analytics. The process had gotten much easier for an ordinary person to transform any piece of data they have into beneficial information that can be used in making business decisions. With just simple steps, and no matter how well you know about data or analytics, you can take better decisions by diverting any amount of data you collected. However, due to the massive increase change in the data flood and continuingly growing, it is becoming a major problem for business tools to be able to give the perfect answer or insight on that data. Anne Moxie, a senior analyst at Nucleus Research, once said: “By 2018, most business users will have access to self-service analytical tools, but the fact remains that there’s too much data for the average business user to know where to start.”

            Even though these tools (self-service tools) are now available to be used, still, the majority of business companies lack the most important skill, the analytical skill, to recognize the data that holds the most serious and remarkable information they could lay hands on. In a recent article in Data Knowledge, GoodData CEO Roman Stanek once said that predictive analytics, radical advances in computer power, machine learning and artificial intelligence made up a new generation of beneficial tools in analytics. If people get to use these tools in the right proper way, they might have systems that generates big data instantly from complicated data sets into effective business actions. This, in fact, is not too fictitious. Recently, machines have got the ability to extract information from complex data better the humans. For a business to go forward, they must invest in next generation systems that is mainly focused on strategic issues.  

https://www.gooddata.com/blog/artificial-intelligence-is-the-future-of-business-intelligence