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Navegando Artigos por Assunto "artificial intelligence"

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    Analysis of artificial intelligence techniques applied to thermographic inspection for automatic detection of electrical problems
    (2019) OLIVATTI, Y.; PENTEADO, C.; Plinio Thomaz Aquino Junior; Rodrigo Maia
    © 2018 IEEE.Electrical energy is among the most important resources used nowadays, in the modern world. Despite this, there is a considerable waste of much of what is spent on power generation, since some of the energy generated does not reach the final consumer. One of the scopes addressed by smart cities is the optimal use of the basic resources available to the population, such as electricity. Thermographic inspection is a technique that allows non-invasive sensing. Through it, it is possible to analyze components and electrical equipment by capturing the temperature of its surface. With the aim of finding electrical faults and reducing losses, this work studies the use of thermography, computational algorithms and artificial intelligence techniques to automatically detect electrical problems.
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    The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions
    (2021-04-05) BORGES, A. F. S.; LAURINDO, FERNANDO J.B.; SPÍNOLA, MAURO M.; GONÇALVES, RODRIGO F.; Claudia Mattos
    Artificial Intelligence tools have attracted attention from the literature and business organizations in the last decade, especially by the advances in machine learning techniques. However, despite the great potential of AI technologies for solving problems, there are still issues involved in practical use and lack of knowledge as regards using AI in a strategic way, in order to create business value. In this context, the present study aims to fill this gap by: providing a critical literature review related to the integration of AI to organizational strategy; synthetizing the existing approaches and frameworks, highlighting the potential benefits, challenges and opportunities; presenting a discussion about future research directions. Through a systematic literature review, research articles were analyzed. Besides gaps for future studies, a conceptual framework is presented, discussed according to four sources of value creation: (i) decision support; (ii) customer and employee engagement; (iii) automation; and (iv) new products and services. These findings contribute to both theoretical and managerial perspectives, with extensive opportunities for generating novel theory and new forms of management practices.