P. G. Tandale, Anjali Sandeep Gaikwad, Mukund Kulkarni, Sampada Santosh Gulavani, Bajirao Rajaram Patil
{"title":"Big Data Management and Analytics in the Era of Artificial Intelligence","authors":"P. G. Tandale, Anjali Sandeep Gaikwad, Mukund Kulkarni, Sampada Santosh Gulavani, Bajirao Rajaram Patil","doi":"10.1109/SSTEPS57475.2022.00073","DOIUrl":null,"url":null,"abstract":"Big Data (BD) have lately piqued the interest of both academicians and practitioners due to their ability to provide valuable insights for improved decision-making processes. With the goal of creating useful information from huge data, data analytics is fast becoming a popular discipline that many businesses are implementing. Although, the analytics process, such as the implementation and usage of Big Data Analytics (BDA) technologies, has positive influence on the organizational performances, develop new income streams, potentially gain a competitive edge over business rivals, businesses view it as a tool to enhance operating effectiveness. There are several analytic techniques to take into account, though. Given the significance of BD as well as BDA, this article presents a state-of-the-art research that gives a thorough overview of the BD challenges and BDA strategies posited, supported, and employed by businesses to help others better comprehend this environment and make better financial decisions.","PeriodicalId":289933,"journal":{"name":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors (SSTEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSTEPS57475.2022.00073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Big Data (BD) have lately piqued the interest of both academicians and practitioners due to their ability to provide valuable insights for improved decision-making processes. With the goal of creating useful information from huge data, data analytics is fast becoming a popular discipline that many businesses are implementing. Although, the analytics process, such as the implementation and usage of Big Data Analytics (BDA) technologies, has positive influence on the organizational performances, develop new income streams, potentially gain a competitive edge over business rivals, businesses view it as a tool to enhance operating effectiveness. There are several analytic techniques to take into account, though. Given the significance of BD as well as BDA, this article presents a state-of-the-art research that gives a thorough overview of the BD challenges and BDA strategies posited, supported, and employed by businesses to help others better comprehend this environment and make better financial decisions.