Jason (Jinquan) Daiis a senior principal engineer and CTO of Big Data Technologies at Intel, where he is responsible for leading the global engineering teams (located in both Silicon Valley and Shanghai) on the development of advanced big data analytics (including distributed machine and deep learning), as well as collaborations with leading research labs (e.g., UC Berkeley AMPLab and RISELab). Jason is an internationally recognized expert on big data, cloud and distributed machine learning.

He is the program co-chair of O'Reilly AI Conference in Beijing, a founding committerand PMC member of Apache Spark, a mentor for Apache MXNet, and the creator of the BigDL project.

戴金权，现任英特尔高级首席工程师、大数据技术全球 CTO，负责领导英特尔全球（硅谷和上海）的工程团队在高级大数据分析（包括分布式机器学习和深度学习）上的研发工作，以及和全球领先的研究机构（如 UC Berkeley AMPLab、RISELab 等）的技术合作。他是一位得到国际认可的，在大数据、云计算和分布式机器学习上的专家。

他是 O’Reilly AI Conference Beijing 的联席主席, Apache Spark 项目的创始委员会成员及项目管理委员会（PMC）委员，Apache MXNet 项目顾问，以及 BigDL 项目创始人。