{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"fa2211c7-60b5-424b-a841-a97c7196aed1","title":"数据资本时代","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787508694313","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"fa2211c7-60b5-424b-a841-a97c7196aed1","id":"fa2211c7-60b5-424b-a841-a97c7196aed1","uuid":"fa2211c7-60b5-424b-a841-a97c7196aed1","title":"数据资本时代","normalized_title":"数据资本时代","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787508694313","isbns":["9787508694313","9783642038211"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":278,"navigation_url":"https://workshop.closeclaw.top/ai/book/fa2211c7-60b5-424b-a841-a97c7196aed1","title_url":"https://workshop.closeclaw.top/ai/title/%E6%95%B0%E6%8D%AE%E8%B5%84%E6%9C%AC%E6%97%B6%E4%BB%A3","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/fa2211c7-60b5-424b-a841-a97c7196aed1/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/fa2211c7-60b5-424b-a841-a97c7196aed1/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/fa2211c7-60b5-424b-a841-a97c7196aed1","page_url":"https://workshop.closeclaw.top/api/ai/books/fa2211c7-60b5-424b-a841-a97c7196aed1/page","search_url":"https://workshop.closeclaw.top/api/ai/books/fa2211c7-60b5-424b-a841-a97c7196aed1/search"},"page":{"printed_page":10,"pdf_page":30,"physical_index":30,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"b6763f4b1cc2c055d8aeec291cd6cd337b22b6c452e4ad001172ee3ef79d9ff3"},"chapter":"第1章","content":"偏好。\n\n在这三个领域里，高度发展的数据分析以及先进的机器学习①(或称之为“人工智能”)，均已推动了海量数据市场的重大进步。如果将这三个领域结合起来，我们就将拥有海量数据市场所需的所有关键构件。数字思想的引领者和跃跃欲试的互联网企业家已经开始注意到这一点。一场淘金热即将到来，不久它就会全面展开。淘金的场所正是海量数据市场，它可以给参与者提供充足的效率红利，并为供应商提供巨大的交易总量。\n\n企业将面临严峻挑战\n\n过去20年的数字创新最终开始改变市场经济的基础。一些公司已经将目光投向了海量数据市场，并已做好了必要准备。亿贝庆祝其成立20周年之际，也正是其认真思考未来之时。公司新任首席执行官宣布了一项雄心勃勃的多年应急计划，并进行了一系列重要的并购活动。亿贝的目标是在各层面极大地提高市场中海量信息的流动量，使匹配的实现更加便捷，从而帮助亿贝用户做出交易决策。\n\n亿贝并不孤单。从亚马逊这样的零售巨头，到BlaBlaCar这样的细分市场，再到人才市场，各类市场都在进行重新配置，一切努力都指向了海量数据市场的未来。比起传统市场，海量数据市场在帮助人们获得所需东西方面的表现要好得多，用户使用量肯定要大得多，这也进一步推动了传统市场向海量数据市场转变。其实，海量数据市场的影响远不止这些，其地位也要重要得多。\n\n数据资本时代\n\n①机器学习是人工智能中最核心，也是最受关注的方法，但它并非人工智能的全部。例如，专家系统是典型的人工智能方法，但它并非机器学习。——译者注\n\n010","previous_page":9,"next_page":11}