Content
AY 2021

Data Driven: Overview of data-driven science, data-driven industry, and data-driven society[JP]

Chapter

はじめに
00:00
NII(国立情報学研究所)について
01:50
SINETについて、
03:37
コロナ禍の出来事
08:05
データ駆動とは
10:20
自動運転の例について
15:00
Uberの事故について
16:45
医療画像ビッグデータプラットフォームの構築
19:55
病理画像について
27:00
ビッグデータをどうやって処理するか?
30:00
どういうったユーズケースが考えられるか
33:00
COVID-19に対する社会の変容をTwitterから読み取る
38:00
AY 2021

Data Driven: Overview of data-driven science, data-driven industry, and data-driven society[JP]

00:41

Society 5.0 can be described as a “Data-Driven Society”. Today, the data-driven nature of academia is also making significant progress.
Additionally, industries are also beginning to actively use a wide variety of data. In this lecture, an overview of these trends will be introduced.


NOTE:
- This lecture was conducted only in Japanese.

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Lecturer

the University of Tokyo Uiversity Professor
※Affiliations and positions are as of the time of recording.
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