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Artificial Intelligence ( AI ) has been one of the most recurrent topics of conversation and analysis in companies in recent years, especially among those who work on innovation within the company.
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Faced with an increasingly globalized world and in constant digital transformation, every day more professionals agree on the urgent need to incorporate and exploit disruptive technologies such as Artificial Intelligence to achieve the growth planned in the short, medium and long term.
For those who are not familiar with the concept, we can say that Artificial Intelligence is a segment that belongs to the field of computer science. It is defined as the type of technology that allows systems and machines to simulate human intelligence . We refer to the ability to make decisions and also simulate actions that a human being would take.
Today AI is transforming the way we analyze, describe and predict the behavior through which societies produce and consume products and services. In fact, all of today’s industries are facing the challenge of digital transformation, a challenge that goes hand in hand with innovation.
That is why, this time, I share with you some ideas on how you can innovate your company using Artificial Intelligence .
1. Sales prediction
Through Big Data , Artificial Intelligence greatly facilitates this process and drives great solutions. This procedure is carried out using predictive models based on historical sales and transaction data , although it can also be done taking into account industry trends.
It should be noted that sales prediction is an important tool to anticipate consumer behavior and manage your company’s resources intelligently. In other words, it helps you guide strategic decisions that will have a potential impact on the success of your business.
2. Insights
We can define an insight as an understanding of the real needs expressed and not expressed by clients. One way of working on this point is through Data Clustering . Data Clustering is a methodology that helps discover and identify important relationships between data . This technique is also known as segmentation .
Knowing the insights is important as it helps you discover innovative ideas about your …….
