喻园管理论坛2024年第75期(总第1007期)

演讲主题: Navigating the Frontier: Unstructured Data and the Future of AI

主 讲 人:王欣 弗吉尼亚理工学院Pamplin商学院教授

主 持 人:常亚平 市场营销系主任、教授

活动时间: 2024年7月16日（周二）上午10:00-11:30

活动地点:管院大楼119室

主讲人简介：

王欣教授，弗吉尼亚理工学院Pamplin商学院终身正教授，博士生导师，并担任博士及硕士研究生项目主任。AMA北美市场营销协会学术委员会（12人）唯一华人委员，2024年消费者研究协会亚太地区年度大会主席，担任Journal of Marketing、Production and Operation Management、Journal of the Academy of Marketing Science副主编，Journal of Marketing Research、Journal of Consumer Research编委会成员。研究领域包括人工智能的商业应用,大数据挖掘和公司战略研究，营销和金融科技，市场结构和品牌关系，社交网络分析，互联网营销，消费者产品选择及行为经济学；研究成果发表在Marketing Science、Journal of Consumer Research、Management Science、Journal of Marketing Research、Journal of Marketing、International Journal of Research in Marketing等国际顶级学术期刊。基于北美市场营销协会过去十年的统计，王教授是全球在顶级营销期刊上发表文章数量最高产的前50名高产学者之一。曾获北美市场营销冬季会议最佳论文、欧洲消费者年会最佳论文提名、弗吉尼亚理工大学杰出学术研究奖、毅伟商学院学术研究影响力大奖、MSI杰出青年学者奖等多项奖项。

活动简介：

Artificial intelligence (AI) is a vast area of computer science focused on creating machines capable of perceiving their environment and performing tasks typically requiring human intelligence. AI encompasses several interrelated fields, including computer vision (detecting images), natural language processing (understanding written language), speech recognition (interpreting spoken language), and machine learning/deep learning. As organizations implement machine learning, many traditional marketing methods will either become obsolete or undergo significant transformations. Algorithms will enhance the efficiency and effectiveness of tasks like market structure analysis and competitor identification. However, machine learning methods can be resource-intensive, with algorithms taking considerable time to converge, especially with large datasets. Future efforts to integrate new technologies, such as quantum computing, with machine learning methods will further reduce computational costs and unlock new research opportunities.