Examples of data use （from Japan）

Data-driven smart agricultural solutions (Nippon Telegraph and Telephone)[Summary]⚫

Promotion of data-driven smart agricultural solutions that use drones, sensors,and other devices supported by quasi-zenith satellite Michibiki and utilize theNTT Group’s AI.

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Smart growth evaluation and fertilizer application: The NTT Group’s AI
technology makes accurate evaluation of growth stages using visual and otherdata of rice plants from Michibiki-supported drones, sensors, etc. to determine
the most effective timing for applying additional fertilizer.

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Smart pest evaluation and control: AI makes comprehensive analysis of visualand other data of rice plants obtained by Michibiki-supported drones, sensors,etc. for the evaluation of pests and weeds.

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Smart pest forecast and control: The NTT Laboratories’ AI technology “corevo”
is used to analyze a combination of visual, position, water temperature, and soil
temperature data collected by Michibiki-supported drones, sensors, etc. as wellas meteorological data, map data, and so forth, with the aim of forecasting theoccurrence of pests in the future.

[Expected Impacts]⚫

Offer solutions to two main problems of Japanese agriculture—declining numberof farmers and climate change due to global warming—to improve quantity andquality of crops.

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Examples of data use （from Japan）
Sapporo City’s project to build data-utilization platform (Nippon Telegraph andTelephone)[Summary]⚫

Sapporo City’s information and communications technology (ICT) utilization
platform dubbed “Data-Smart City Sapporo” was built to facilitate data utilizationin various fields in order to deal with regional issues in the Sapporo economiczone. Industry, government, and academia work hand in hand to promote data
accumulation and utilization, and open such data to users (local consumption oflocally obtained data).

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In order to ensure the sustainability of the above data utilization initiative,
Sapporo City works with local companies and organizations, the local industrial
body Sapporo Electronics and Industries Cultivation Foundation, and NTT to takethe lead in promoting initiatives to create new values in the future.

[Expected Impacts]⚫

Sapporo City: Solutions to the region’s social issues in such areas as tourism,
transportation, and infrastructure maintenance.

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Business sector: Utilizing data to establish new tourism model for the with- andpost- COVID era.

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Examples of data use （from Japan）
Infectious disease forecasting service (Hitachi)[Summary]⚫

In pursuit of the ideal of creating a world where people do not contract infectious
diseases, an AI-based service has been developed and is now operational. It isa service in which AI analyzes the surveillance data of ORCA Management
Organization Co., Ltd. and other data resources to forecast the prevalence ofinfluenza in each region of the country for up to four weeks in advance anddisseminate that information.

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This service was tested in Saitama City, Saitama Prefecture, during the winter offiscal 2019 and 2020. Over 80% of users said that the prevalence forecasts madethem take preventive measures more consciously, attesting to its significant
preventive and educational effect. The service is being expanded with the aim of
becoming an information infrastructure for the people’s security and safety.

[Expected Impacts]⚫

Contribute to the improvement of quality of life by introducing a new lifestyle tothe public in which infectious diseases are meant to be prevented throughforecasts.

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Reduction of social security spending by national and local governments througheducation on epidemic prevention; and commercial use of forecast data by
private companies (e.g., for marketing, inventory management, and production
adjustment).

[Future Barriers]⚫

Collaboration with various surveillance services in Japan to enable disseminationof highly localized information.

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Apply to dissemination of information on new infectious diseases (including
COVID-19).

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Examples of data use （from Japan）

AI-driven drug discovery (Astellas Pharma)[Summary]⚫

Explore and identify drug candidate, using past drug discovery research data, aswell as AI and robots.

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Achieve more efficient and faster drug discovery through more accurate
prediction of modality properties using AI, design using AI, and automatedsynthesis and evaluation of modalities using AI and robotics.

[Expected Impacts]⚫

Discovery of innovative drugs in a short period through the promotion of efficient
drug discovery research.

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Contribute to the extension of healthy life expectancy.

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Examples of data use （from Japan）

Utilization of medical and health data (Astellas Pharma)[Summary]⚫

Contribute to the health and well-being of people worldwide by developing andproviding new medical solutions including innovative drugs, through the use of awide variety of personal medical and health data in drug discovery research.

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Utilize detailed data, such as genome data and medical examination data andself-recorded data accumulated in personal health record, for personalized
medical care and elucidation of disease pathogenesis underlying various
diseases, while utilizing anonymized insurance claims data for detecting drug
safety issues.

[Expected Impacts]⚫

Discovery of innovative drugs.

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Contribution to the extension of healthy life expectancy.

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