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Sagot :
Data in the form of numbers, symbols, words, or images is obtained through the process of observation or observation of the search for a particular source. As a result, in order to improve machine uptime management and workplace safety, the type of data that can be used for the desired artificial intelligence design is the company's internal data in the form of qualitative data and quantitative data.
Internal data is a type of data obtained from internal parties of an organization or company or the place where the research is carried out. The internal data referred to here is data on the number of employees and working hours. Then the qualitative data needed aims to obtain an improvement in the quality of work security. This data can be denoted in the form of verbal data, images, text, symbols, and so on. Quantitative data is a type of data consisting of numbers in the form of numbers. Thus, the quantifiable data needed is about the uptime management of the machine you want to improve. The purpose of using this data is because quantitative data is objective, meaning that everyone who reads it will produce the same understanding; it will not be different. Artificial intelligence (AI) adapts through progressive learning algorithms to allow data to be programmed. Algorithms acquire skills when there is structure and regularity in data. So algorithms become classifiers or predictors. In addition, the data needed in developing artificial intelligence (A)I is carried out continuously or periodically from time to time to find out the development of the observed or observed object. Artificial intelligence is built by the application of algorithms to large datasets of data. Thus, its main ability is to historically track the data and display it according to human needs or demands. In other words, artificial intelligence cannot access and process data or information that is not in its systems. So input is needed periodically.
Learn more about Artificial Intelligence brainly.ph/question/17422421
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