TT04 The Growth of Consolidated Data

Data collection and analysis are essential for effective planning and decision-making in an increasingly data-driven society. As this trend accelerates, technologies that integrate data and perform cross-sectional analysis will improve, as will technological counter-measures to protect privacy.


To use the data-driven scheme in a wider range of fields, data collection and analysis technologies continue to improve, and privacy protection efforts continue to become more concrete.

Gathering huge amounts of data and making decisions and solving issues through analysis, the data-driven scheme has become the basis of business. This scheme has many achievements, from accurate credit decisions with millisecond-level calculation to vaccines developed at an overwhelming speed. Some companies continue to make generous investments to gather more data.

Technologies are being actively developed to promote this data-driven scheme. For example, remote satellite sensing is about to achieve high-resolution and frequent satellite images, while edge AI is almost capable of real-time monitoring of the behavior of mosquitos, which is difficult to capture. Efforts are also starting to create data that is difficult to gather directly, such as a detailed town map from a hundred years ago, using existing data and AI, improving the degree of freedom of data collection. The amount of data thus collected is now huge, exceeding the human ability to manage it. To solve this issue, AI is used more extensively now to assist data analysis, expanding the range of fields it can assist, from summarizing passages to extracting information from table data.

Yet, it is true that the risk of privacy violation is increasing as the data-driven scheme accelerates. To ensure privacy protection through technology as each country established laws and regulations, federated learning, on-device AI, and other efforts to use data without exposing it externally are taking shape. As the data-driven scheme advances, the use of data while protecting privacy is an urgent issue. Technological approaches to solve this issue may be worthy of attention.

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