Generate Product List and Ranking from 5 Manufacturers, Suppliers and Companies | IPROS

Last Updated： Aggregation Period:May 27, 2026～Jun 23, 2026
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Last Updated： Aggregation Period:May 27, 2026～Jun 23, 2026
This ranking is based on the number of page views on our site.

  1. アイスマイリー Tokyo//Service Industry
  2. ナンバーワンソリューションズ 本社 Tokyo//Information and Communications
  3. フライウィール Tokyo//Information and Communications
  4. 日本計画研究所 Tokyo//others
  5. 5 日本経済新聞社 情報サービスユニット Tokyo//Information and Communications
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Last Updated： Aggregation Period:May 27, 2026～Jun 23, 2026
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  1. On-premises AI vs. Cloud AI Comparison Chaos Map アイスマイリー
  2. Conata Data Agent Introduction Materials フライウィール
  3. [Consulting for Manufacturing Industry] Utilization Scene 2 Quality Control × Generative AI ナンバーワンソリューションズ 本社
  4. [Consulting for Manufacturing Industry] Utilization Scene 3 Production Management × Generative AI ナンバーワンソリューションズ 本社
  5. 4 How will the future of companies change with the introduction of AI? Free AI implementation guide available. アイスマイリー

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What are the benefits of using AI in data creation and effective ways to utilize it?

What are the benefits of using AI in data creation and effective ways to utilize it?

Achieving qualitative changes in research and planning operations! This explains the background of the need for generative AI in document creation tasks.

In research departments and planning positions, it is required to continuously create various types of documents such as reports, proposals, and presentation materials with high quality. These daily tasks can often become burdensome for business professionals. Amidst this, in recent years, the evolution of AI technology has significantly changed the way document creation is approached. AI is beginning to take on the role of a business partner in document creation tasks, supporting advanced information gathering and analysis, as well as idea generation. This article will provide specific benefits of utilizing AI for document creation, effective ways to leverage it, and hints for transforming business operations through AI utilization, aiming to achieve both "efficiency" and "quality improvement." *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.*

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[Seminar] The Architectural Design Process Changed by Generative AI and XR

[Seminar] The Architectural Design Process Changed by Generative AI and XR

Yasui Architectural Design Office Co., Ltd. - Current Efforts and Challenges, Future Outlook -

Our company will hold a seminar titled "The Changing Architectural Design Process through Generative AI and XR." According to a research report by Goldman Sachs, "Architectural Design and Engineering" is listed as the third industry significantly impacted by rapidly evolving AI. On the other hand, XR technology, which allows for the construction and experience of cities and buildings in a digital space before they are completed, has lowered the barriers to adoption and utilization due to the digitalization of the architectural design process and the emergence of low-cost, high-performance XR devices. In this way, the generative AI and XR technologies that have garnered attention in recent years, combined with BIM, which is being promoted by both public and private sectors, hold the potential to bring about significant transformations in the very nature of architectural design. Here, we will detail our company's initiatives regarding generative AI and XR technology in architectural design, including current use cases, challenges, and future prospects. 【Seminar Details】 ■ Date and Time: June 5 (Wednesday) 13:30 - 15:30 (Doors open at 13:00) ■ Venue: JPI Conference Square ■ Speaker: Kazuyuki Shigeto, Executive Officer, Yasui Architectural Design Office *For more details, please refer to the PDF document or feel free to contact us.

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On-premises AI vs. Cloud AI Comparison Chaos Map

On-premises AI vs. Cloud AI Comparison Chaos Map

Focusing on four categories of security concerns during the implementation of generative AI and more!

Ice Miley has published a "Comparison Chaos Map of On-Premises AI vs. Cloud AI," which organizes advanced AI service forms in AI implementation, on September 16, 2025. The total number of listed products is 63. When considering the introduction of AI, many companies struggle with the choice of "whether to go with cloud-based or on-premises." Both options have their features, and it is important to choose the form that is suitable for the company's situation and objectives. *For more detailed information, you can view it through the related link. For more details, please download the PDF or feel free to contact us.*

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Conata Data Agent Introduction Materials

Conata Data Agent Introduction Materials

Connecting information, know-how, and data to answer the business's "want to know"! Generative AI × Knowledge Search Agent

This document is an introductory material summarizing the features and usage images of the "Conata Data Agent." It includes key features such as the adaptive RAG that can adjust industry dictionaries and corporate dictionaries, and a multi-stage LLM pipeline that utilizes LLM multiple times for query interpretation, keyword extraction, and answer generation. Additionally, it contains a solution catalog covering areas such as sales improvement, inquiry response, quality management, and internal search, which can be used as a reference for consideration of implementation. 【Contents (partial)】 ■ The world we want to realize ■ The "management foundation" needed in the VUCA era ■ Roadmap to establish the management foundation ■ Value of the framework in realizing the roadmap ■ Reference: Technical capabilities of the flywheel *For more details, please download the PDF or feel free to contact us.

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[Consulting for Manufacturing Industry] Utilization Scene 2 Quality Control × Generative AI

[Consulting for Manufacturing Industry] Utilization Scene 2 Quality Control × Generative AI

Detects minute defects in real-time! Reduces human errors.

We would like to introduce what can be achieved by utilizing generative AI in quality management. Automating quality inspection with AI-based image recognition. It detects minute defects in real-time, improving the accuracy of quality management and reducing human errors. Please feel free to contact us when needed. 【Features】 ■ Automates quality inspection ■ Detects minute defects in real-time ■ Improves the accuracy of quality management ■ Reduces human errors *For more details, please refer to the related links or feel free to contact us.

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I don't know how to model with generative AI and blockchain.

I don't know how to model with generative AI and blockchain.

[Consulting for Manufacturing Industry] Comprehensive support from proposing specific business models to system development!

Our company offers comprehensive and phased "AI & Blockchain Consulting and System Development Support Services" tailored to meet the business needs of our clients. Do you have concerns such as "I have an idea for a new business, but I don't know how to turn it into a business model" when utilizing generative AI and blockchain? We provide total support for this challenge, from generating business ideas using generative AI and blockchain to market analysis, prototype development, and system development. [Service Contents] ■ Generation of Business Ideas ■ Market Analysis ■ Prototype Development ■ System Development *For more details, please refer to the related links or feel free to contact us.

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Case Study of AI Implementation | Strengthening Customer Follow-up in the Sales Department

Case Study of AI Implementation | Strengthening Customer Follow-up in the Sales Department

Can be used for analyzing customer inquiries! AI is utilized in the sales department like an excellent sales assistant.

We would like to introduce a case study on the use of generative AI aimed at strengthening customer follow-up in the sales department. By utilizing AI, it becomes possible to prioritize customer follow-ups, analyze inquiries from customers, and automatically formulate response schedules. AI collects and analyzes customer data, allowing sales teams to efficiently plan their approaches, making after-sales follow-up more efficient as well. 【Utilization Details】 ■ Prioritization of customer follow-ups using AI ■ Analysis of customer inquiries and automatic formulation of response schedules ■ Automatic detection and alerting of customers with missed follow-ups ■ Proposing accurate follow-up strategies based on data *For more details, please download the PDF or feel free to contact us.

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Case Studies of AI Implementation | Promotion of Operations in Human Resources and General Affairs Departments

Case Studies of AI Implementation | Promotion of Operations in Human Resources and General Affairs Departments

AI automatically generates job postings and internal regulations, optimizing the text! We support document creation.

We would like to introduce examples of utilizing generative AI aimed at promoting operations in the Human Resources and General Affairs departments. AI can assist in document review and support the creation of documents such as job postings and internal regulations. Specific applications include the automatic creation of updates to internal regulations in response to legal amendments, as well as analyzing applicants' responses to automatically generate suitability scores and reports. 【Utilization Details】 ■ AI automatically generates job postings and internal regulations, optimizing the text. ■ Creates appropriate job postings based on job requirements, learning from past successful cases to improve. ■ Automatically creates update proposals for internal regulations in response to legal amendments. ■ Reduces workload by 60% through automatic aggregation of interview evaluations. ■ Analyzes applicants' responses to automatically generate suitability scores and reports. ■ Provides 24/7 support for scheduling interviews according to applicants' availability. *For more details, please download the PDF or feel free to contact us.

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Case Study of AI Implementation | Breaking Away from Personalized Tasks in HR and General Affairs Departments

Case Study of AI Implementation | Breaking Away from Personalized Tasks in HR and General Affairs Departments

It is also possible to learn the know-how of veteran employees and deploy it company-wide! A case study on reducing dependency through AI implementation.

We would like to introduce examples of utilizing generative AI aimed at breaking away from person-dependent tasks in the Human Resources and General Affairs department. Specific applications include delegating internal inquiry responses and standardizing inquiry processing, organizing internal regulations and procedures, and centralizing scattered information. Additionally, by building a system that accumulates manuals for the logistics management system and allows a chatbot to respond, we have been able to reduce training time and on-site burdens, as well as decrease person-dependent responses. 【Utilization Details】 ■ AI delegates internal inquiry responses and standardizes inquiry processing ■ Learns the response know-how of veteran employees and deploys it company-wide ■ Supports inquiries from overseas locations through multilingual capabilities ■ AI automatically detects updates to regulations and always reflects the latest status ■ Visualizing and standardizing business processes eliminates dependency on specific employees ■ Optimizing business flows with AI prevents risks of person-dependency and business stagnation *For more details, please download the PDF or feel free to contact us.

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Case Study of AI Implementation | Reduction of Legal Compliance Check Workload in Research and Development

Case Study of AI Implementation | Reduction of Legal Compliance Check Workload in Research and Development

AI is used for summarizing texts and for content checks in relation to relevant laws and regulations.

This is an introduction to a case where generative AI is utilized for legal compliance checks in the research and development department. The applications include automatic checks of information related to laws and patents, as well as verifying whether expressions within documents comply with laws and regulations. AI can also be used for summarizing texts and checking content against relevant regulations. 【Applications】 ■ Automatic checks of information related to laws and patents ■ Verification of whether expressions within documents comply with laws and regulations ■ Early detection of risks by referencing the latest relevant regulations and industry rules ■ Support for confirming intellectual property rights and ensuring compliance in research and development *For more details, please download the PDF or feel free to contact us.

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Introduction of 7 examples of HR operations utilizing generative AI <Demo available for loan>

Introduction of 7 examples of HR operations utilizing generative AI <Demo available for loan>

The benefits of introducing generative AI in the HR department! Examples of using generative AI in HR operations will be introduced.

The evolution of generative AI is bringing transformation to many business areas, but its impact on the human resources department is particularly profound. However, how exactly are HR operations changing? Additionally, how are these changes contributing to the efficiency of the department and the satisfaction of employees? This article explains the specific changes that generative AI brings to the HR department and why its implementation is gaining attention. Furthermore, it introduces the benefits of utilizing AI technology in HR operations and provides examples of companies that have successfully done so. *For more detailed content of the blog, please refer to the related links. For more information, you can download the PDF or feel free to contact us.*

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[Consulting for Manufacturing Industry] Utilization Scene 1 Predictive Maintenance × Generative AI

[Consulting for Manufacturing Industry] Utilization Scene 1 Predictive Maintenance × Generative AI

Reduce downtime with planned maintenance! Improve production efficiency.

I would like to introduce what can be achieved by utilizing generative AI for predictive maintenance. AI analyzes equipment data and detects signs of potential failures. This reduces downtime through planned maintenance and improves production efficiency. Please feel free to contact us when needed. 【Features】 ■ Detects signs of potential failures ■ Reduces downtime ■ Improves production efficiency *For more details, please refer to the related links or feel free to contact us.

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[Consulting for Manufacturing Industry] Utilization Scene 3 Production Management × Generative AI

[Consulting for Manufacturing Industry] Utilization Scene 3 Production Management × Generative AI

Optimize the production schedule! Prevent overproduction and stockouts, and achieve efficient production.

We would like to introduce what can be achieved by utilizing generative AI in production management. AI analyzes production data and optimizes production schedules based on demand forecasts and inventory levels. This prevents overproduction and stockouts, enabling efficient production. Please feel free to contact us when needed. 【Features】 ■ Optimizes production schedules ■ Prevents overproduction and stockouts ■ Achieves efficient production *For more details, please refer to the related links or feel free to contact us.

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How will the future of companies change with the introduction of AI? Free AI implementation guide available.

How will the future of companies change with the introduction of AI? Free AI implementation guide available.

Introducing examples of AI implementation in various business areas! Free AI implementation guide that is easy to understand, even for beginners.

This document introduces the future of companies changing with the introduction of AI. It presents numerous examples of the results of AI implementation, such as the immediate response to customer inquiries and the reduction of workload in customer service, as well as the realization of accurate sales strategies and maximization of sales through sales strategy analysis. Additionally, it includes issues related to service selection in AI implementation, the process of AI introduction, and a checklist to advance the adoption of AI that suits your company. Feel free to download it if you are interested. 【Contents (partial)】 ■ The future of companies changing with AI implementation ■ Issues in service selection for AI implementation ■ The process of AI implementation ■ Points for STEP 1-3 ■ Points for STEP 4-6 *For more details, please download the PDF or feel free to contact us.

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We present a checklist for selecting the AI that suits your company!

We present a checklist for selecting the AI that suits your company!

Introducing a checklist to smoothly advance to PoC verification! We are offering a guide for selecting AI services to implement.

This document includes a checklist that can be used as support for preparing to select AI services. It covers various evaluation criteria for service selection, such as whether the business challenges you want to solve are clearly defined, whether the goals you want to achieve with AI are clear, and whether there are implementation records in similar industries and of similar scale. Additionally, it provides information on the flow of AI implementation and the future of companies that will change with AI, so feel free to download it if you are interested. [Contents (partial)] ■ The future of companies changing with AI ■ Service selection issues in AI implementation ■ The flow of AI implementation ■ Key points for STEP 1-3 ■ Key points for STEP 4-6 *For more details, please download the PDF or feel free to contact us.

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Case studies of AI implementation | Summaries and analyses of research and development reports and papers.

Case studies of AI implementation | Summaries and analyses of research and development reports and papers.

AI automatically summarizes research papers and foreign specialized literature! It is also possible to automatically generate summaries optimized for reports and presentations.

Here are some examples of how generative AI is utilized in the research and development department. AI is also used for summarizing texts and checking content against relevant regulations. As a result, it can transform long texts containing specialized terminology into a format that can be understood in a short time, and it can be combined with translation to efficiently grasp the content of foreign language papers. 【Utilization Details】 ■ AI automatically summarizes research papers and foreign specialized literature ■ Transforms long texts containing specialized terminology into an understandable format in a short time ■ Combined with translation to efficiently grasp the content of foreign language papers ■ Automatically generates summaries optimized for reports and presentations *For more details, please download the PDF or feel free to contact us.

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