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Faculty of Management Sciences

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    Role of integrated artificial intelligence for knowledge creation and decision making for improving firm performance
    (IEEE, 2022-04-28) Panduro-Ramirez, Jeidy; Khurana, Shopita; Othman, Bestoon; Lourens, Melanie Elizabeth; Ruiz-Salazar, Jenny Maria; Almashaqbeh, Hashem Ali
    The present research shed light on the decision-making process of businesses based on integrated AI technology. The technology is very helpful in searching and gathering accurate business information which could further be used in the performance improvement of the business. Moreover, the research depicted several applications of AI technology and the percentage of companies that used such technologies in their business for the motive of performance improvement by achieving all their predetermined objectives of the business.
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    The critical role played by big data management in effectively addressing the security and overall privacy concerns through correlation analysis
    (IEEE, 2022-04-28) Ahamad, Shahanawaj; Roshan, Amit; Lourens, Melanie Elizabeth; Shekher, Vineet; Joshi, Kapil; Alanya-Beltran, Joel
    Due to the widespread application of big data in a wide range of fields, there has been a significant rise in a diverse range of data assets, and numerous data analysis technologies, such as standardized data mining or quantitative analytical techniques, are speeding up the constant enlargement of the big data industry. The fact that information from several different resources has a life cycle from acquisition to disposal is a key property of big data, as is the fact that new information may be obtained via analysis, combining, and exploitation of existing data. Yet, information security & dependability challenges arise at every stage of the life cycle, rendering the protection of individually identifying data a vital goal throughout the whole process. It is possible to evaluate user behavior using different big data analytics techniques, and the collection of this information results in the violation of personal privacy. This study analyses dangers and security challenges that arise during the administration of large amounts of data by verifying the existing standards produced by international standardization bodies and doing an analysis of relevant research.