Digital eco-farm for everyone! Utilizing business infrastructure and IoT digital infrastructure.
In the Chichibu region of the Tokyo metropolitan area, there is a severe population decline, qualifying it as a region for regional revitalization. The key to achieving regional revitalization is indeed industrial creation. By utilizing "MINNANO Digital ECO Farm," which is a system for realizing industrial creation and a business platform, even small and dispersed farms, orchards, and sake breweries in mountainous areas can easily and ubiquitously join the supply chains of large corporations. [Case Study] ■Challenges - Lack of prominent industries and factory closures - Extreme population decline due to worker outflow ■After Implementation - Even small and dispersed farms can join the supply chains of large corporations. *For more details, please refer to the PDF materials or feel free to contact us.
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【Application Examples】 ■ IoT Devices ■ IoT Edge Servers ■ Business Servers ■ Cloud Environments ■ Core System Environments *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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The company was established in 1994 as a provider of IT-related product imports, sales, and technical support. We primarily offer distribution and technical support for cutting-edge computer network-related products and information communication security products from the United States. Recognizing early on that security measures against computer viruses and malware are essential for information communication networks, we have also engaged in the sales and support of information security-related products. In recent years, cyber attacks targeting specific entities have become a social issue, making defense measures against threats essential for businesses and organizations. In addition to solutions for defending against malicious external attacks and preventing information leaks, we provide new solutions that utilize artificial intelligence (AI) to detect early signs of cyber attacks that penetrate internal networks and internal threats by leveraging machine learning and mathematical theories, thereby preventing incidents before they occur.
