{"title":"人工智能在多云 IT 应用程序自动灾难恢复中的应用","authors":"Rishiraj Nandedkar","doi":"10.55041/ijsrem36816","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) has significantly impacted various industries, including disaster recovery (DR) planning for IT Applications, virtualization, and Databases. With the growth of servers, Data, and advancements in AI, real-time analytics and time-sensitive applications are now feasible. In disaster recovery, AI can automate processes, initiate DR plans swiftly during untimely downtimes in the IT industry whether it is enterprises, BFSI, manufacturing, or health care IT applications, and provide critical insights. This paper discusses use cases for AI in the DR workflow: pre- disaster, implementation, and aftermath. The benefits and challenges of AI adoption in disaster management are also highlighted.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"46 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI use in Automated Disaster Recovery for IT Applications in Multi Cloud\",\"authors\":\"Rishiraj Nandedkar\",\"doi\":\"10.55041/ijsrem36816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) has significantly impacted various industries, including disaster recovery (DR) planning for IT Applications, virtualization, and Databases. With the growth of servers, Data, and advancements in AI, real-time analytics and time-sensitive applications are now feasible. In disaster recovery, AI can automate processes, initiate DR plans swiftly during untimely downtimes in the IT industry whether it is enterprises, BFSI, manufacturing, or health care IT applications, and provide critical insights. This paper discusses use cases for AI in the DR workflow: pre- disaster, implementation, and aftermath. The benefits and challenges of AI adoption in disaster management are also highlighted.\",\"PeriodicalId\":504501,\"journal\":{\"name\":\"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT\",\"volume\":\"46 12\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55041/ijsrem36816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55041/ijsrem36816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
人工智能（AI）对各行各业产生了重大影响，包括 IT 应用程序、虚拟化和数据库的灾难恢复（DR）规划。随着服务器、数据的增长和人工智能的进步，实时分析和时间敏感型应用现在变得可行。在灾难恢复方面，人工智能可以实现流程自动化，在 IT 行业（无论是企业、BFSI、制造业还是医疗保健 IT 应用程序）出现意外宕机时迅速启动灾难恢复计划，并提供重要见解。本文讨论了灾难恢复工作流程中的人工智能用例：灾难前、实施和灾难后。本文还强调了在灾难管理中采用人工智能的好处和挑战。
AI use in Automated Disaster Recovery for IT Applications in Multi Cloud
Artificial intelligence (AI) has significantly impacted various industries, including disaster recovery (DR) planning for IT Applications, virtualization, and Databases. With the growth of servers, Data, and advancements in AI, real-time analytics and time-sensitive applications are now feasible. In disaster recovery, AI can automate processes, initiate DR plans swiftly during untimely downtimes in the IT industry whether it is enterprises, BFSI, manufacturing, or health care IT applications, and provide critical insights. This paper discusses use cases for AI in the DR workflow: pre- disaster, implementation, and aftermath. The benefits and challenges of AI adoption in disaster management are also highlighted.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
