{"title":"智能技术的重大趋势","authors":"","doi":"10.4018/978-1-6684-3509-0.ch004","DOIUrl":null,"url":null,"abstract":"Although technology advances in a high speed and in different tracks and sectors, among the many major areas of trends of smart technologies are clouds and artificial intelligence. This chapter presents such significant trends in smart technologies with emphasis on clouds and their applications which make the implementation of smart cities efficient. It focuses on the general paradigm for smart technology platforms with five different levels, including edge and fog computing as well as the internet of things. In the chapter, other trends are covered such as data analytics for strategic decision making, artificial intelligence, machine learning, blockchain, open data, and cloud-based data. It also introduces the significance of using predictive analytics and using data for effective deep learning for smart applications.","PeriodicalId":271918,"journal":{"name":"Advances in Electronic Government, Digital Divide, and Regional Development","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Significant Trends of Smart Technologies\",\"authors\":\"\",\"doi\":\"10.4018/978-1-6684-3509-0.ch004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although technology advances in a high speed and in different tracks and sectors, among the many major areas of trends of smart technologies are clouds and artificial intelligence. This chapter presents such significant trends in smart technologies with emphasis on clouds and their applications which make the implementation of smart cities efficient. It focuses on the general paradigm for smart technology platforms with five different levels, including edge and fog computing as well as the internet of things. In the chapter, other trends are covered such as data analytics for strategic decision making, artificial intelligence, machine learning, blockchain, open data, and cloud-based data. It also introduces the significance of using predictive analytics and using data for effective deep learning for smart applications.\",\"PeriodicalId\":271918,\"journal\":{\"name\":\"Advances in Electronic Government, Digital Divide, and Regional Development\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Electronic Government, Digital Divide, and Regional Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-6684-3509-0.ch004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Electronic Government, Digital Divide, and Regional Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-6684-3509-0.ch004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Although technology advances in a high speed and in different tracks and sectors, among the many major areas of trends of smart technologies are clouds and artificial intelligence. This chapter presents such significant trends in smart technologies with emphasis on clouds and their applications which make the implementation of smart cities efficient. It focuses on the general paradigm for smart technology platforms with five different levels, including edge and fog computing as well as the internet of things. In the chapter, other trends are covered such as data analytics for strategic decision making, artificial intelligence, machine learning, blockchain, open data, and cloud-based data. It also introduces the significance of using predictive analytics and using data for effective deep learning for smart applications.