Making people aware of the closeness we have on a daily basis with artificial intelligence (AI) and data science without us often realizing it will be one of the topics that will be covered in the conversation “Data science, artificial intelligence and its multiple applications.، Thursday, September 22, 6:30 p.m., via the Zoom Platform.
The conversation will be led Deputy Director of the Data Science Unit at UdeC and Master of Computer Science, Manuel Pérez Carrascowhich highlights that artificial intelligence and data science are used today in many aspects of daily life and at a professional level, such as in the industrial, political and academic fields, so it is important to “give some examples of things where artificial intelligence has broken strength and may not know it.” People, so they realize that they are interacting with AI every day and that these tools help us develop some of the tasks in the real world.”
The academic emphasizes that “almost every day we interact with artificial intelligence and it is these tools that allow us to develop life more easily”, so it is very necessary that different professions consider the use of artificial intelligence to help improve the quality of life, considering more specific aspects of interest in areas such as Engineering, health, economics, statistics, and agricultural engineering, among others.
Artificial intelligence and data science
This talk is part of what will be the Advanced Data Science Diploma, a training program delivered 100% online through the web https://santiago-udec.cl/ And that begins next October, with classes taught by a multidisciplinary team that includes teachers who have “worked on applied data science projects and technology transfer,” he says. Guillermo Cabrera Vives, Director of the Diploma.
The academic also highlights that artificial intelligence is a field that goes hand in hand with data science, and understanding how it serves us is essential to making the most of these advances in technology. For example, one of the advantages of working with data science is the ability to create predictive models, “which is basically when you have a machine and you want to predict when it will fail in order to maintain it. There are machines that are all sensed and one can start to Seeing how different sensors behave, what they are measuring, and thus predicts that something will fail.Another fairly common example is predicting when a customer will perform a certain action, so through data science it’s possible to know which “customers are most likely to reach to a particular product or customers who are more willing to act differently.” In one way or another, it can be applied today to whatever comes to mind, as long as you have access to the data,” notes the diploma director.
For those who would like to participate in the conversation “Data science, artificial intelligence and its multiple applications.They must register with the following Link.
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