Dr. Takuya Kitagawa

Chief Data Officer & Managing Executive Officer, Rakuten

Dr. Kitagawa obtained his Ph.D. in physics from Harvard University and A.B. in physics and mathematics from Harvard College. As a theoretical physicist in condensed matter physics, he has published more than 20 papers in academic journals such as “Science,” “Nature Physics,” and “Physical Review Letters.” After joining Rakuten, Dr. Kitagawa established the data science team. As Chief Data Officer, he is responsible for the creation and execution of AI & data strategy, and manages a global organization located across the world including Japan, U.S., India, France and Singapore. He manages end-to-end value creation for data from data collection, data management, and data science product development, to consulting and sales of products. His current focus is the acceleration of core science for understanding customers and human behaviors, as well as the creation of new businesses based on a deeper understanding of customers. He is also a director of Rakuten Data Marketing, Inc. as of 2017.

Speaker's Sessions

Rakuten’s AI strategy and moonshots 13:40 - 14:00
In this talk, Takuya Kitagawa, chief data officer of Rakuten group who is in charge of AI, data and R&D, will present the AI strategy of Rakuten group and discuss some of the key questions that Rakuten AI is challenging to innovate, including visions toward “product catalog as AI,” “pre-trained model for customers,” and even “cure cancer with AI.” We hope to illustrate the excitement of our challenges that is not only relevant to our company but to all the society around the world.

Speaker's Sessions

Leadership in the age of AI/Data 16:00 - 16:40
Over the past couple decades, software development efforts have progressively expanded in size. Initially projects were worked on by developers located in a single company headquarters, but this grew to encompass regional offices and eventually globally distributed teams.  On top of this, some projects are now worked on collaboratively through inner-sourcing and even full open-sourcing (with famous examples including the Linux Kernel, Android, Mozilla Firefox and OpenOffice).  Therefore, we would like to host a roundtable discussion to review the state of affairs for highly distributed software projects, the complexities of managing them and the tools that make it all possible.


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