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Yanxia Lu

Research Manager

Yanxia Lu is a Research Manager for IDC China's Enterprise System and Software Research, focusing on Big Data and artificial intelligence (AI). She is responsible for Big Data information management platform as well as Big Data analytics and applications. Yanxia is also involved in AI technology and enterprise mobility, covering machine learning, semantic comprehension, speech recognition, and image identification.

Prior to joining IDC, Yanxia worked as a consultant at Jusfoun, where she was in charge of the industry consulting business. Her main responsibilities included working on Big Data industry consulting, offering guidance and advice for clients, and building the consulting team. She also provided strong support for strategy development for the whole company and other business units. Yanxia also worked in Founder Electronics' Big Data department as an analyst as well as at CNPC Research Institute as a consultant.

•             M.S. in Petroleum Geology from China University of Petroleum (Beijing)

英伟达在GTC China 2017大会新发布TensorRT3,并宣布将于2018年推出自主机器处理器Xavier。市场层面,英伟达在继续重视AI City战略的同时,开始向金融、医疗、制造、零售等传统行业企业级市场发力。IDC认为AI在传统行业中的应用将是下一个市场热点,行业企业应尽早将AI能力引入到产品、服务中;解决方案商、服务商也要做好人才及技术的储备。
AlphaGo Zero再出世,掀起深度强化学习新革命

Oct 2017 - IDC Link - Doc # lcCHC43173017

by: Yanxia Lu

谷歌旗下DeepMind发布深度强化学习在AlphaGo中成功应用的论文,在无人类棋谱知识输入的情况下,AlphaGo Zero自主学习训练40天,运行在单机4个TPU上战胜之前所有的版本。尽管此技术还不能大规模推广应用,但是作为深度强化学习在实践中的首次突破,的确给整个行业带来很大的冲击,其长远的意义在于将刺激更多厂商增加对前沿技术的投资,也将掀起深度强化学习的新浪潮,相信市场很快就会见到新一轮算法水平的飞跃。
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IDC MarketScape:中国大数据管理平台厂商评估,2017

Oct 2017 - IDC MarketScape - Doc # CHC43073617

by: Yanxia Lu,  Zhuo Zhang

"中国大数据市场整体热度逐步降低,而数据应用开始落地,应用的前提是先建设统一的大数据基础管理平台。IDC调研了近20家解决方案商,近20家终端用户,选取10家典型的大数据平台厂商进行重点研究。报告分别从现有能力和未来战略维度对厂商进行评估,为技术买家进行产品选型提供参考,报告也提出了组织建设大数据的重点注意事项。"——IDC企业研究部研究经理卢言霞表示。
IDC创新者:中国图像识别应用市场,2017

Sep 2017 - IDC Innovators - Doc # CHC42989617

by: Yanxia Lu

现阶段,中国计算机视觉市场,平安城市安防、金融支付、智慧地产以及移动互联网、手机行业在应用图像识别技术进行业务创新。用户在采用图像识别技术时,需要注意系统识别的准确率,技术应用的成熟度以及应用总成本。IDC对中国图像识别技术供应商进行调研,从技术水平、商业模式、应用案例以及企业战略角度进行研究,其中在技术方面主要考虑算法准确度、图像识别效率,在商业模式方面主要考虑创新性、持续发展的可能性,在应用案例方面考虑应用场景、客户满意度,在企业战略方面主要考虑人才配置、团队结构、研发投...
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