{"title":"驾驭错综复杂的法规:利用人工智能/人工智能实现准确报告","authors":"Harish Padmanaban","doi":"10.60087/jklst.vol2.n3.p412","DOIUrl":null,"url":null,"abstract":"In the ever-evolving regulatory environment, adhering to reporting standards poses a significant hurdle for organizations spanning diverse sectors. Negotiating the intricacies of regulatory obligations necessitates innovative approaches. This document delves into the utilization of Artificial Intelligence (AI) and Machine Learning (ML) methodologies to bolster the precision and efficacy of reporting procedures. Through the integration of AI/ML, entities can streamline data analysis, detect patterns, and uphold compliance with regulatory frameworks. This research probes into the potential advantages, obstacles, and optimal strategies linked with the incorporation of AI/ML technologies into reporting infrastructures. Drawing upon a thorough examination of pertinent literature and case studies, valuable insights are offered to aid organizations in proficiently leveraging AI/ML to navigate regulatory intricacies and attain accurate reporting results.","PeriodicalId":509244,"journal":{"name":"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)","volume":"10 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Navigating the intricacies of regulations: Leveraging AI/ML for Accurate Reporting\",\"authors\":\"Harish Padmanaban\",\"doi\":\"10.60087/jklst.vol2.n3.p412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the ever-evolving regulatory environment, adhering to reporting standards poses a significant hurdle for organizations spanning diverse sectors. Negotiating the intricacies of regulatory obligations necessitates innovative approaches. This document delves into the utilization of Artificial Intelligence (AI) and Machine Learning (ML) methodologies to bolster the precision and efficacy of reporting procedures. Through the integration of AI/ML, entities can streamline data analysis, detect patterns, and uphold compliance with regulatory frameworks. This research probes into the potential advantages, obstacles, and optimal strategies linked with the incorporation of AI/ML technologies into reporting infrastructures. Drawing upon a thorough examination of pertinent literature and case studies, valuable insights are offered to aid organizations in proficiently leveraging AI/ML to navigate regulatory intricacies and attain accurate reporting results.\",\"PeriodicalId\":509244,\"journal\":{\"name\":\"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)\",\"volume\":\"10 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.60087/jklst.vol2.n3.p412\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.60087/jklst.vol2.n3.p412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Navigating the intricacies of regulations: Leveraging AI/ML for Accurate Reporting
In the ever-evolving regulatory environment, adhering to reporting standards poses a significant hurdle for organizations spanning diverse sectors. Negotiating the intricacies of regulatory obligations necessitates innovative approaches. This document delves into the utilization of Artificial Intelligence (AI) and Machine Learning (ML) methodologies to bolster the precision and efficacy of reporting procedures. Through the integration of AI/ML, entities can streamline data analysis, detect patterns, and uphold compliance with regulatory frameworks. This research probes into the potential advantages, obstacles, and optimal strategies linked with the incorporation of AI/ML technologies into reporting infrastructures. Drawing upon a thorough examination of pertinent literature and case studies, valuable insights are offered to aid organizations in proficiently leveraging AI/ML to navigate regulatory intricacies and attain accurate reporting results.