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April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Schedule: 金融服务 (Financial Services) sessions

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09:00 - 17:00 Tuesday, April 10 & Wednesday, April 11
Location: 多功能厅6A+B (Function Room 6A+B)
Chia Wei Lim (Skymind), Wang Feng (Skymind)
Average rating: ***..
(3.00, 2 ratings)
在分析时间序列或者序列数据方面循环神经网络(RNN)已经被证明是非常有效的,那么在实际的案例中如何才能把循环神经网络(RNN)的优点发挥出来呐?这里将演示如何用Deeplearning4j框架构建循环神经网络(RNN)来解决时间序列的问题。 Read more.
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09:0017:00 Wednesday, April 11, 2018
英文讲话 (Presented in English)
Location: 多功能厅8A+B(Function Room 8A+B) Level: Intermediate
Kristian Hammond (Northwestern Computer Science)
Average rating: *****
(5.00, 2 ratings)
Even as AI technologies move into common use, many enterprise decision makers remain baffled about what the different technologies actually do and how they can be integrated into their businesses. Rather than focusing on the technologies alone, Kristian Hammond provides a practical framework for understanding your role in problem solving and decision making. Read more.
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13:1013:50 Thursday, April 12, 2018
模型与方法 (Models and Methods), 英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B) Level: Intermediate
Zhefu Shi (University of Missouri)
It is critical to analyze the business impact of worldwide events on the financial market. Zhefu Shi explains how to use AI to analyze the impact of financial news using a financial data pipeline. Zhefu outlines how to extract financial entity information and use it to analyze business impact. All of the components use AI to enhance functionality. Read more.
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16:2017:00 Thursday, April 12, 2018
实施人工智能 (Implementing AI)
Location: 报告厅(Auditorium) Level:
Hongyu Cui (DataVisor)
Average rating: *****
(5.00, 1 rating)
随着互联网不断发展,面向用户的线上网站服务也进入极速发展期,吸引了大量的用户,整个互联网进入“十亿用户时代”。一些有组织的欺诈团伙利用这个特点,大量创建虚假账户或盗取正常用户账户,以此潜伏在大量正常用户中,在银行、网站和手机应用软件上实施欺诈。由于规则引擎和传统机器学习模型需要经常更新、维护,而且只有在损失发生后才会生成相应反应机制,因此反欺诈团队很难领先一步走在欺诈者前面。人工智能的发展,给整个反欺诈领域带来新的机会。 Read more.