{"id":25391,"date":"2023-03-30T15:07:18","date_gmt":"2023-03-30T13:07:18","guid":{"rendered":"https:\/\/newwebsitewp-g3hcfhbgh2e5bjdf.italynorth-01.azurewebsites.net\/how-artificial-intelligence-supports-analytics-through-predictive-analysis\/"},"modified":"2023-03-30T15:07:18","modified_gmt":"2023-03-30T13:07:18","slug":"how-artificial-intelligence-supports-analytics-through-predictive-analysis","status":"publish","type":"post","link":"https:\/\/staging.aeonvis.com\/en\/how-artificial-intelligence-supports-analytics-through-predictive-analysis\/","title":{"rendered":"How artificial intelligence supports analytics through predictive analysis"},"content":{"rendered":"

In our previous articles dedicated to analytics, we discussed what Data Storytelling represents, considered a new tool for business growth based on measurability. Today, we continue talking about data and their ability to tell stories, but we focus on a specific topic\u2014a current trend that is impossible to ignore: artificial intelligence<\/a> and its ability to support data through predictive analysis<\/strong>. Let\u2019s explore what it\u2019s all about.<\/p>\n

Predictive analysis: meaning and benefits <\/strong><\/h2>\n

Predicting the future? Until some time ago, it was something not even present in the collective imagination. Today, artificial intelligence has made significant strides, to the point that in the near future it is expected to be considered the deciding factor in business. Companies that implement it within their operations will gain a substantial competitive advantage. Its potential is growing exponentially, and among its most important applications for businesses is predictive analysis<\/strong>. The name may leave room for many interpretations, but let\u2019s try to explain concretely what it\u2019s all about. <\/p>\n

\"Predictive<\/p>\n

The plug, the one we use daily to power appliances, is the means, while electricity is the source\u2014without it, everything electric in our homes would lose its purpose. Well, AI is now considered the “new electricity,” the true revolution of the new millennium. And what about predictive analysis<\/strong>? Where does it fit?
It represents an aspect of artificial intelligence, the only one capable of making predictions about the future based on past events. It involves a set of techniques that use data, statistical algorithms, and machine learning<\/em> to identify the probabilities of future events based on historical data. The goal is to analyze large and even heterogeneous datasets to extract meaningful insights and identify correlated patterns<\/em>. This is the aim of predictive analysis, and it is its greatest revolution\u2014provided that the data used for analysis is always of high quality.
When this condition is met, AI can effectively support business decisions, which, of course, ultimately rely on human judgment and decision-making skills.<\/p>\n

Predictive analysis: application fields and competitive industries<\/strong><\/h2>\n

\"PredictiveWe know it might still sound a bit strange, but today, being able to predict what will happen in a company is possible. No crystal ball required. The secret lies in predictive analysis <\/strong>and its ability to minimize errors, reduce effort, and optimize costs.<\/p>\n

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Predictive analysis<\/strong><\/a>, in fact, is useful in various fields<\/a>. Here are some examples: <\/p>\n