Fujitsu
Overview
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HQ Location
Japan
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Year Founded
1935
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Company Type
Public
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Revenue
> $10b
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Employees
> 50,000
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Website
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Stock Ticker
OTCMKTS: FJTSY
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Twitter Handle
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Company Description
Fujitsu is the leading Japanese Information and Communication Technology (ICT) company, offering a full range of technology products, solutions and services. Year founded: 1935
IoT Solutions
The Internet of Things (IoT) massively expands the quantity and quality of real-time information available from a diverse range of devices in the public and private realm. Those devices will be talking to each other as well as central systems, triggering a radical change in the way you can manage assets, networks and the customer experience. Fujitsu has already systematized product and services initiatives in such high-growth areas as Cloud Computing, big data, mobile, and security to support innovation on the part of enterprises and society. By combining these initiatives with Human-Centric IoT, Fujitsu aims to further broaden and accelerate the scope of business and social innovation.
Key Customers
Citic, Frontier Science, Panasonic
IoT Snapshot
Fujitsu is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, networks and connectivity, processors and edge intelligence, sensors, and infrastructure as a service (iaas) technologies, and also active in the automotive, electronics, food and beverage, retail, and transportation industries.
Technologies
Use Cases
Functional Areas
Industries
Technology Stack
Fujitsu’s Technology Stack maps Fujitsu’s participation in the platform as a service (paas), application infrastructure and middleware, analytics and modeling, functional applications, networks and connectivity, processors and edge intelligence, sensors, and infrastructure as a service (iaas) IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Toyota Motor Manufacturing Indonesia
Improve new system developments and existing system adjustments lead-time in order for the business to achieve maximum benefits as soon as possible, thus providing a competitive edge for Toyota against competitors. TMMIN IT environment was built on a complex of systems added up complexity in each development or adjustment project.
Case Study
IIC Factory Operations Visibility & Intelligence Testbed
Contextual and background data is often buried and in various formats; Storage and distribution of large amounts of raw data requires considerable compute resources and infrastructure; The cost of installation and maintenance of new computers, servers, and network equipment to collect and distribute data needs to be minimized. GOAL Establish new open environments for future factory operation visualization scenarios, with data upload and simulation capability to augment physical factory equipment; Provide a cloud-based platform that can combine factory sensor and operational data to enhance the visibility and analysis of key manufacturing processes, thereby enabling improvement of operational efficiency.
Case Study
Real-Time IoT Tracking and Visualization Improve Manufacturing
Shimane Fujitsu, a wholly-owned subsidiary of Fujitsu and a leading manufacturer of business notebooks and tablets, set out to improve processes where factory inspections found product errors. Prioritizing product rework based on shipping date was challenging, and it caused Shimane Fujitsu to incur additional shipping fees. The company needed a way to collect data to better track the location of products in the rework cycle as well as monitor progress in real time. The collected data would also help process analysis for future improvements.
Case Study
Fujitsu Power Appliance
Frucor has experienced rapid growth, and with it increased volumes and complexity of business data. The company has a core SAP (System Applications and Products) system that does an excellent job of collecting and processing company-wide data. As the business continues to expand locally and internationally the company's data warehousing overhead was becoming complex, resulting in some reports taking too long to process.
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