This paper is from Session 1I: The significance of establishment of Japanese Inter-organizational Network for Statistics Education
which comes under Topic 1: Statistics education: Looking back, looking forward
Paper 1I3 (Tuesday 10th, 11:00-12:30)
Challenges in developing real-world data driven business environment to create new business model and practice for data scientists in artificial intelligence
Presenter
- Matsui Kenichi (Accenture Japan, Ltd., Japan)
Co-authors
- Michael Munn (Accenture LLP, United States)
- Michiko Watanabe (Keio University, Japan)
- Ozlem Celik-Tinmaz (Accenture LLP, United States)
- Shun Yoshida (Accenture Japan, Ltd., Japan)
- Takuya Kudo (Accenture Japan Ltd, Japan)
Abstract
Data scientists, data engineers, and AI researchers are experts in their fields of mathematical algorithms and computer programming, yet they face a significant challenge in bringing actual business value in the optimization process. In discussing the challenges and both educational and business opportunities, this paper refers to an example of close collaboration on AWS cloud platform among organizations such as KDDI, Aizuwakamatsu, Saga and Accenture LLP in establishing the joint initiatives to help those organizations and their ecosystem partners benefit from data-driven decision making and their new business and/or public policy models using a data science method and skills to generate a disruptive market beyond their current operating models.