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Articles by Alisson Paulo De Oliveira
Total Records ( 2 ) for Alisson Paulo De Oliveira
  Alisson Paulo De Oliveira and Hugo Ferreira Tadeu Braga
  This study aims to discuss the risks and opportunities involved in building predictive models based on artificial intelligence. Countermeasures are also proposed to minimize the risks involved in their adoption where reliability is a critical factor for user safety such as autonomous driving. For this, it is explored a real development of a predictive mathematical model, using industrial data in the steel industry. This development aimed to construct an empirical mathematical model to predict the mechanical properties (Yield Strength, YS) of hot rolled steel structural beams. Such model was based on rolling process variables and the chemical composition of steel. As a result of this research it was observed that the obtained data agreed with the expected metallurgical theory. The errors obtained between the estimated and the real values were greater for process conditions with lack of enough data. These results are associated with the risk of using artificial intelligence technology in critical applications and actions aiming at its improvement are proposed.
  Alisson Paulo De Oliveira and Hugo Ferreira Tadeu Braga
  Data is considered a primary resource for innovation. The existence of a large amount of available data as well as technological tools capable of explore them, allows companies to extract information that can be used to create and implement new ideas and new projects. To this end, the details regarding the care that organizations should have with data are explored. The difficulties regarding the adoption of data-driven approach and some measures to implement this type of decisionmaking approach are discussed. A real example of prediction model for decision making that is based on industrial data is also discussed. This example shows the difficulties in the preparation of data for the development of these models which confirms that most of the time spent in the construction of predictive models it is due to this step. The use of the data-driven approach allows organizations to obtain superior results in their processes, thus becoming a tremendous competitive advantage and a special strategic factor in a highly competitive market, regardless of the field of activity.
 
 
 
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