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Calic0CatDaiki Suzuki
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feat: add case study (#1196)
Co-authored-by: Daiki Suzuki <[email protected]>
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README.md

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@@ -205,21 +205,22 @@ We have published configuration and cost estimation examples for using GenU. (Th
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## Customer Case Studies
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| Customer | Quote |
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| :-------------------------------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| <a href="https://www.yasashiite.com/" target="_blank"><img src="./docs/assets/images/cases/yasashiite_logo.png"></a> | **Yasashiite Co., Ltd.** <br/> _Thanks to GenU, we were able to provide added value to users and improve employee work efficiency. We continue to evolve from "smooth operation" to "exciting work" as employees' "previous work" transforms into enjoyable work!_ <br/> ・[See case details](./docs/assets/images/cases/yasashiite_case.png) <br/> ・[See case page](https://aws.amazon.com/jp/solutions/case-studies/yasashii-te/) |
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| <a href="https://www.takihyo.co.jp/" target="_blank"><img src="./docs/assets/images/cases/TAKIHYO_logo.png"></a> | **TAKIHYO Co., Ltd.** <br/> _Achieved internal business efficiency and reduced over 450 hours of work by utilizing generative AI. Applied Amazon Bedrock to clothing design, etc., and promoted digital talent development._ <br/> ・[See case page](https://aws.amazon.com/jp/solutions/case-studies/takihyo/) |
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| <a href="https://salsonido.com/" target="_blank"><img src="./docs/assets/images/cases/salsonido_logo.png"></a> | **Salsonido Inc.** <br/> _By utilizing GenU, which is provided as a solution, we were able to quickly start improving business processes with generative AI._ <br/> ・[See case details](./docs/assets/images/cases/salsonido_case.png) <br/> ・[Applied service](https://kirei.ai/) |
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| <a href="https://www.tamura-ss.co.jp/jp/index.html" target="_blank"><img src="./docs/assets/images/cases/tamura-ss_logo.png"></a> | **TAMURA CORPORATION** <br/> _The application samples that AWS publishes on Github have a wealth of immediately testable functions, and by using them as they are, we were able to easily select functions that suited us and shorten the development time of the final system._<br/> ・[See case details](./docs/assets/images/cases/tamura-ss_case.png)<br/> |
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| <a href="https://jdsc.ai/" target="_blank"><img src="./docs/assets/images/cases/jdsc_logo.png"></a> | **JDSC Inc.** <br/> _Amazon Bedrock allows us to securely use LLMs with our data. Also, we can switch to the optimal model depending on the purpose, allowing us to improve speed and accuracy while keeping costs down._ <br/> ・[See case details](./docs/assets/images/cases/jdsc_case.png) |
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| <a href="https://www.iret.co.jp/" target="_blank"><img src="./docs/assets/images/cases/iret_logo.png"></a> | **iret, Inc.** <br/> _To accumulate and systematize internal knowledge for BANDAI NAMCO Amusement Inc.'s generative AI utilization, we developed a use case site using Generative AI Use Cases JP provided by AWS. iret, Inc. supported the design, construction, and development of this project._ <br/> ・[BANDAI NAMCO Amusement Inc.'s cloud utilization case study](https://cloudpack.jp/casestudy/302.html?_gl=1*17hkazh*_gcl_au*ODA5MDk3NzI0LjE3MTM0MTQ2MDU) |
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| <a href="https://idealog.co.jp" target="_blank"><img src="./docs/assets/images/cases/idealog_logo.jpg"></a> | **IDEALOG Inc.** <br/> _I feel that we can achieve even greater work efficiency than with conventional generative AI tools. Using Amazon Bedrock, which doesn't use input/output data for model training, gives us peace of mind regarding security._ <br/> ・[See case details](./docs/assets/images/cases/idealog_case.png) <br/> ・[Applied service](https://kaijosearch.com/) |
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| <a href="https://estyle.co.jp/" target="_blank"><img src="./docs/assets/images/cases/estyle_logo.png"></a> | **eStyle Inc.** <br/> _By utilizing GenU, we were able to build a generative AI environment in a short period and promote knowledge sharing within the company._ <br/> ・[See case details](./docs/assets/images/cases/estyle_case.png) |
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| <a href="https://meidensha.co.jp/" target="_blank"><img src="./docs/assets/images/cases/meidensha_logo.svg"></a> | **Meidensha Corporation** <br/> _By using AWS services such as Amazon Bedrock and Amazon Kendra, we were able to quickly and securely build a generative AI usage environment. It contributes to employee work efficiency through automatic generation of meeting minutes and searching internal information._ <br/> ・[See case details](./docs/assets/images/cases/meidensha_case.png) |
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| <a href="https://www.st-grp.co.jp/" target="_blank"><img src="./docs/assets/images/cases/st-grp_logo.jpg"></a> | **Sankyo Tateyama, Inc.** <br/> _Information buried within the company became quickly searchable with Amazon Kendra. By referring to GenU, we were able to promptly provide the functions we needed, such as meeting minutes generation._ <br/> ・[See case details](./docs/assets/images/cases/st-grp_case.png) |
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| <a href="https://www.oisixradaichi.co.jp/" target="_blank"><img src="./docs/assets/images/cases/oisixradaichi_logo.png"></a> | **Oisix ra daichi Inc.** <br/> _Through the use case development project using GenU, we were able to grasp the necessary resources, project structure, external support, and talent development, which helped us clarify our image for the internal deployment of generative AI._ <br/> ・[See case page](https://aws.amazon.com/jp/solutions/case-studies/oisix/) |
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| <a href="https://www.san-a.co.jp/" target="_blank"><img src="./docs/assets/images/cases/san-a_logo.png"></a> | **SAN-A CO., LTD.** <br/> _By utilizing Amazon Bedrock, our engineers' productivity has dramatically improved, accelerating the migration of our company-specific environment, which we had built in-house, to the cloud._ <br/> ・[See case details](./docs/assets/images/cases/san-a_case.png)<br/> ・[See case page](https://aws.amazon.com/jp/solutions/case-studies/san-a/) |
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| <a href="https://onecompath.com/" target="_blank"><img src="./docs/assets/images/cases/onecompath_logo.png"></a> | **ONE COMPATH CO., LTD.** <br/> _By utilizing GenU, we were able to quickly establish a company-wide generative AI foundation. This made it possible for the planning department to develop PoCs independently, which accelerated the business creation cycle and allowed the development department to concentrate resources on more important business initiatives._ <br/> ・[事例の詳細を見る](./docs/assets/images/cases/onecompath_case.png)<br/> |
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| Customer | Quote |
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| :-------------------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| <a href="https://www.yasashiite.com/" target="_blank"><img src="./docs/assets/images/cases/yasashiite_logo.png"></a> | **Yasashiite Co., Ltd.** <br/> _Thanks to GenU, we were able to provide added value to users and improve employee work efficiency. We continue to evolve from "smooth operation" to "exciting work" as employees' "previous work" transforms into enjoyable work!_ <br/> ・[See case details](./docs/assets/images/cases/yasashiite_case.png) <br/> ・[See case page](https://aws.amazon.com/jp/solutions/case-studies/yasashii-te/) |
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| <a href="https://www.takihyo.co.jp/" target="_blank"><img src="./docs/assets/images/cases/TAKIHYO_logo.png"></a> | **TAKIHYO Co., Ltd.** <br/> _Achieved internal business efficiency and reduced over 450 hours of work by utilizing generative AI. Applied Amazon Bedrock to clothing design, etc., and promoted digital talent development._ <br/> ・[See case page](https://aws.amazon.com/jp/solutions/case-studies/takihyo/) |
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| <a href="https://salsonido.com/" target="_blank"><img src="./docs/assets/images/cases/salsonido_logo.png"></a> | **Salsonido Inc.** <br/> _By utilizing GenU, which is provided as a solution, we were able to quickly start improving business processes with generative AI._ <br/> ・[See case details](./docs/assets/images/cases/salsonido_case.png) <br/> ・[Applied service](https://kirei.ai/) |
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| <a href="https://www.tamura-ss.co.jp/jp/index.html" target="_blank"><img src="./docs/assets/images/cases/tamura-ss_logo.png"></a> | **TAMURA CORPORATION** <br/> _The application samples that AWS publishes on Github have a wealth of immediately testable functions, and by using them as they are, we were able to easily select functions that suited us and shorten the development time of the final system._<br/> ・[See case details](./docs/assets/images/cases/tamura-ss_case.png)<br/> |
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| <a href="https://jdsc.ai/" target="_blank"><img src="./docs/assets/images/cases/jdsc_logo.png"></a> | **JDSC Inc.** <br/> _Amazon Bedrock allows us to securely use LLMs with our data. Also, we can switch to the optimal model depending on the purpose, allowing us to improve speed and accuracy while keeping costs down._ <br/> ・[See case details](./docs/assets/images/cases/jdsc_case.png) |
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| <a href="https://www.iret.co.jp/" target="_blank"><img src="./docs/assets/images/cases/iret_logo.png"></a> | **iret, Inc.** <br/> _To accumulate and systematize internal knowledge for BANDAI NAMCO Amusement Inc.'s generative AI utilization, we developed a use case site using Generative AI Use Cases JP provided by AWS. iret, Inc. supported the design, construction, and development of this project._ <br/> ・[BANDAI NAMCO Amusement Inc.'s cloud utilization case study](https://cloudpack.jp/casestudy/302.html?_gl=1*17hkazh*_gcl_au*ODA5MDk3NzI0LjE3MTM0MTQ2MDU) |
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| <a href="https://idealog.co.jp" target="_blank"><img src="./docs/assets/images/cases/idealog_logo.jpg"></a> | **IDEALOG Inc.** <br/> _I feel that we can achieve even greater work efficiency than with conventional generative AI tools. Using Amazon Bedrock, which doesn't use input/output data for model training, gives us peace of mind regarding security._ <br/> ・[See case details](./docs/assets/images/cases/idealog_case.png) <br/> ・[Applied service](https://kaijosearch.com/) |
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| <a href="https://estyle.co.jp/" target="_blank"><img src="./docs/assets/images/cases/estyle_logo.png"></a> | **eStyle Inc.** <br/> _By utilizing GenU, we were able to build a generative AI environment in a short period and promote knowledge sharing within the company._ <br/> ・[See case details](./docs/assets/images/cases/estyle_case.png) |
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| <a href="https://meidensha.co.jp/" target="_blank"><img src="./docs/assets/images/cases/meidensha_logo.svg"></a> | **Meidensha Corporation** <br/> _By using AWS services such as Amazon Bedrock and Amazon Kendra, we were able to quickly and securely build a generative AI usage environment. It contributes to employee work efficiency through automatic generation of meeting minutes and searching internal information._ <br/> ・[See case details](./docs/assets/images/cases/meidensha_case.png) |
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| <a href="https://www.st-grp.co.jp/" target="_blank"><img src="./docs/assets/images/cases/st-grp_logo.jpg"></a> | **Sankyo Tateyama, Inc.** <br/> _Information buried within the company became quickly searchable with Amazon Kendra. By referring to GenU, we were able to promptly provide the functions we needed, such as meeting minutes generation._ <br/> ・[See case details](./docs/assets/images/cases/st-grp_case.png) |
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| <a href="https://www.oisixradaichi.co.jp/" target="_blank"><img src="./docs/assets/images/cases/oisixradaichi_logo.png"></a> | **Oisix ra daichi Inc.** <br/> _Through the use case development project using GenU, we were able to grasp the necessary resources, project structure, external support, and talent development, which helped us clarify our image for the internal deployment of generative AI._ <br/> ・[See case page](https://aws.amazon.com/jp/solutions/case-studies/oisix/) |
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| <a href="https://www.san-a.co.jp/" target="_blank"><img src="./docs/assets/images/cases/san-a_logo.png"></a> | **SAN-A CO., LTD.** <br/> _By utilizing Amazon Bedrock, our engineers' productivity has dramatically improved, accelerating the migration of our company-specific environment, which we had built in-house, to the cloud._ <br/> ・[See case details](./docs/assets/images/cases/san-a_case.png)<br/> ・[See case page](https://aws.amazon.com/jp/solutions/case-studies/san-a/) |
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| <a href="https://onecompath.com/" target="_blank"><img src="./docs/assets/images/cases/onecompath_logo.png"></a> | **ONE COMPATH CO., LTD.** <br/> _By utilizing GenU, we were able to quickly establish a company-wide generative AI foundation. This made it possible for the planning department to develop PoCs independently, which accelerated the business creation cycle and allowed the development department to concentrate resources on more important business initiatives._ <br/> ・[See case details](./docs/assets/images/cases/onecompath_case.png)<br/> |
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| <a href="https://www.mee.co.jp/" target="_blank"><img src="./docs/assets/images/cases/mee_logo.jpg"></a> | **Mitsubishi Electric Engineering CO., LTD.** <br/> _Team members with no prior experience in generative AI development successfully built a RAG system in just 3 months using GenU with ServerWorks’ guidance. By leveraging GenU’s architecture as a reference, they achieved improved efficiency in helpdesk manual search operations and realized in-house development capabilities._ <br/> ・[See case details](https://www.serverworks.co.jp/case/mee.html?utm_source=github&utm_medium=external-media&utm_campaign=github_external-media_GenU)<br/> |
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If you would like to have your use case featured, please contact us via [Issue](https://github.com/aws-samples/generative-ai-use-cases/issues).
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