ESG Management
Environment
Environment
With data and digital technology
we raise resource efficiency and build
a sustainable operating environment.
we raise resource efficiency and build
a sustainable operating environment.

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1
Data-Driven Efficiency
in Resource Operations - Through data collection and analysis and systems optimization, we get an accurate picture of how operations run, and build a digital environment that cuts unnecessary resource use and wasted effort.
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2
Reducing Environmental Load
by Going Digital - We are expanding the digitalization of documents and work processes, and reducing paper use and unnecessary travel through remote collaboration and data-driven ways of working.
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3
Digital Healthcare on Top of
Existing Medical Infrastructure - By building software-centered healthcare technology on existing medical devices and vital-sign data, we lower the burden of introducing additional equipment and raise the utilization of medical resources.
Social
Social
We share the benefits of technology more widely
and build a digital society
that is safe and inclusive.
and build a digital society
that is safe and inclusive.

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1
Solving Social Problems
with Data and AI - By analyzing urban, cultural, everyday-life and healthcare data, we come to understand the problems of regions and industrial sites, and provide data-driven solutions that can be applied to safety, tourism and local commerce.
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2
Better Access to Information
through Digital Technology - We turn complex data into information anyone can understand and use, narrowing the information gap among public agencies, companies and users, and supporting better decisions.
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3
People-Centered
Digital Healthcare - Using vital-sign and medical data, we develop healthcare technology that understands a patient's condition more precisely and supports better judgment by clinicians and users.
Governance
Governance
Through data management you can trust
and responsible operation of technology,
we practice transparent corporate management.
and responsible operation of technology,
we practice transparent corporate management.

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1
Trust Built on Data Protection
and Standardization - Across the full cycle of collecting, refining, storing and using data, we observe privacy and security principles, and raise data quality and reliability by structuring and standardizing unstructured data.
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2
Responsible Development
and Operation of AI - We continuously review the accuracy, fairness and explainability of our AI, and build a responsible AI operating framework that accounts for the characteristics of each business area and the impact on users.
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3
Transparent Collaboration with
Medical and Industry Partners - In work with medical institutions, research institutes, public agencies and private companies, we make roles and responsibilities explicit and manage technical validation and project delivery transparently.