What is Intelligent Analytics?
In a “normal” analytics program, time is a needed commodity. When tasked with looking for connections and improving the business operations, the user often has to sift through all the past and present data themselves. However, when you add the machine learning capabilities into the mix, the user no longer has to look for the connections and can act on them faster. The program will run the data and find links in the background while the user works on other tasks.
Intelligent analytics describes an analytical program that assists you in solving daily business problems via machine learning. Intelligence is the data that you need to make better decisions for your company. These decisions could be when to order more supplies or when to switch pumps at an oil field, for example. Once you obtain the intelligence, which could be months worth of reports and hundreds of pages long, you must analyze it to determine how it connects. This final report will tell you in what ways you can better the company.
When you use a program, all of this is done for you. Applications that use Intelligent Analytics must use a combination of data, statistical algorithms, and machine learning techniques to predict, prevent, or relay significant risks, opportunities, and general information. This type of predictive software requires AI. The AI used in most intelligent programs can learn, infer, discovery, and visualization on both a large and small scale. There are many ways that this can help a company primarily related to money and time.
