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ナンバーワンソリューションズ 本社

EstablishmentJuly 9, 2002
capital5000Ten thousand
number of employees98
addressTokyo/Meguro-ku/7th Floor, Idemitsu Ikejiri Building, 3-15-1 Higashiyama
phone03-6412-8470
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last updated:Feb 05, 2025
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AI Knowledge Management Tool Microcosm AI Knowledge Management Tool Microcosm
Conversational Generative AI Platform "i.human" Conversational Generative AI Platform "i.human"
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Improving the training of young professionals in the construction industry! Immediate provision of construction technology information through the introduction of AI search.

Introducing successful examples of AI search utilization: Taisei Corporation has achieved the promotion of autonomous learning for young engineers and the acceleration of inquiry responses!

We would like to introduce a case study on the use of AI search in the construction technology exploration system of Taisei Corporation. The company receives over 3,000 inquiries related to construction technology each year. On average, it takes 3 business days to respond, and the barrier of technical jargon has hindered the autonomous learning of young engineers. After implementation, there was a significant reduction in response time for inquiries and efficient technology transfer through continuous improvement. 【Case Overview】 ■ Background - Inefficiency of an OJT-dependent education system ■ Results - Immediate resolution rate improved from 58% to 89% - Time to search for similar cases reduced from an average of 45 minutes to under 5 minutes - Response accuracy improved by 2.3% each month due to a feedback loop *For more details, please download the PDF or feel free to contact us.

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Local AI app "Microcosm"

For those who want to utilize generative AI enterprise search while protecting confidential information.

"Microcosm" is a local AI application that builds a dedicated AI for your company using local LLMs and semantic databases. It allows for document creation and data analysis while protecting confidential information and customer personal data, as it can operate in an offline environment. Additionally, once installed on a PC, it can be used immediately without coding, and there are no token costs. We will support the necessary environment setup for implementation within departments or across the entire company. 【Features】 ■ Usable without internet ■ Usable immediately without coding ■ Ability to choose the appropriate LLM ■ Prompt and RAG settings available *For more details, please download the PDF or feel free to contact us.

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Permission settings for generative AI enterprise search

With ACL (Access Control List), detailed permission settings can be configured by position or department!

We will introduce the effectiveness of implementing "Generative AI Enterprise Search" in addressing concerns related to information security and privacy. The risks of information leakage and unauthorized access associated with AI are concerns faced by many companies. Strict security measures are particularly required when handling confidential information. With ACL (Access Control List), detailed permission settings can be configured based on roles and departments. 【Case Overview】 ■Challenges - Concerns about information leakage and unauthorized access - Access rights management and authentication functions are essential for protecting confidential information ■Implementation Effects - Google Vertex AI Search uses Customer Managed Encryption Keys (CMEK) and meets high security standards such as HIPAA and the ISO 27000 series. *For more details, please download the PDF or feel free to contact us.

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Multilingual search-enabled generative AI enterprise search.

With the expansion of the organization, we can flexibly accommodate the addition of new languages and an increase in communication volume!

We will introduce the effectiveness of implementing "Generative AI Enterprise Search" in addressing the challenge of multilingual information management. In global companies, documents created in different languages exist, leading to language barriers in information retrieval and sharing, which poses a risk of decreased communication efficiency. GenAI can automatically provide context-appropriate translations in real-time, significantly reducing translation costs and time. [Case Overview] ■ Challenges - Complicated information retrieval between different languages - Need for summarization and translation of multilingual documents ■ Implementation Effects - Flexibly accommodates the addition of new languages and increased communication volume as the organization expands *For more details, please download the PDF or feel free to contact us.

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Integrating multiple data sources with generative AI enterprise search.

The processing speed has improved, with the index generation time for small-scale datasets reduced from several hours to just a few minutes!

We will introduce the effects of implementing "Generative AI Enterprise Search" in response to the challenge of integrating distributed data sources. Internal information is managed across multiple systems such as email, cloud storage, CRM, and ERP, making it difficult to search across them. As a result, necessary information gets buried, hindering rapid decision-making in business operations. By integrating multiple data sources and providing a unified search environment, we can prevent information loss. 【Case Overview】 ■Challenges - Information dispersion across multiple systems is a significant barrier. - Conducting cross-system searches is difficult, leading to information loss. ■Implementation Effects - With Google Vertex AI Search, the indexing time for small datasets has been reduced from several hours to just a few minutes, achieving improved processing speed. *For more details, please download the PDF or feel free to contact us.

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Resolving the lack of accuracy in search results with generative AI enterprise search.

It has been confirmed that experienced employees can search for information 11 times faster on the service hotline!

We will introduce the effectiveness of implementing "Generative AI Enterprise Search" in addressing the issue of insufficient accuracy in search results. General keyword searches rely on matching the words input by the user, which often fails to adequately reflect the search intent and context. As a result, users frequently struggle to find the information they truly seek, which can hinder decision-making and responses in business operations. AI search engines have a higher contextual understanding capability than typical search engines, allowing them to provide more relevant results. [Case Overview] ■Challenges - Limitations of keyword matching: Lack of understanding of context and background - Difficulty in obtaining information that aligns with the user's true needs ■Implementation Effects - In the iFinder software, it has been confirmed that experienced employees can search for information 11 times faster through the service hotline. *For more details, please download the PDF or feel free to contact us.

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Significant reduction in employee search time with generative AI enterprise search.

Achieving information access that is 90% faster than general searches! Team productivity has increased more than threefold.

We will introduce the effectiveness of implementing "Generative AI Enterprise Search" in addressing the issue of wasting a vast amount of time on information gathering. Employees spend a significant amount of time each day searching for necessary information. It is said that, on average, they dedicate over 17.8 hours a week to information gathering, which leads to a decrease in operational efficiency. With the introduction of this system, a reduction of approximately 1.2 hours in work time per week is expected. 【Case Overview】 ■Challenges - Excessive information gathering time for employees (over 17.8 hours a week) - Decreased operational efficiency, hindering focus on core tasks ■Implementation Effects - There are cases where the Leena.ai platform achieved information access that is 90% faster than general searches, resulting in over three times the productivity for teams. *For more details, please download the PDF or feel free to contact us.

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Five Challenges That Can Be Solved with Generative AI Enterprise Search

Introducing how local LLMs are utilized in various industries and the results companies are achieving, based on specific examples.

The document discusses "Five Challenges That Can Be Solved with Generative AI Enterprise Search." It introduces issues such as the enormous amount of time employees spend searching for information, which decreases operational efficiency, and the challenge of cross-system searches due to internal information being dispersed across multiple systems. Additionally, it explains the challenges faced when implementing local LLMs and their solutions. Please take a look. 【Contents】 ■ Introduction ■ Five Challenges That Can Be Solved with Generative AI Enterprise Search ■ For Those Who Want to Utilize Generative AI Enterprise Search While Protecting Confidential Information ■ Conclusion *For more details, please download the PDF or feel free to contact us.

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Examples of utilizing generative AI in the financial industry while mitigating information leaks.

Case study of the proprietary local LLM utilized by approximately 50,000 employees in the asset management division!

We would like to introduce a case study on the use of local LLMs at JP Morgan Chase (financial industry). The company utilizes its own developed local LLM, "LLM Suite," which is used by approximately 50,000 employees in the asset management department. The key points of implementation are customer data management under a strict regulatory environment, as well as providing document creation, idea generation, and summarization functions. 【Case Overview】 ■ Key Points of Implementation - Customer data management under a strict regulatory environment - Provision of document creation, idea generation, and summarization functions ■ Best Practices - Model design focused on regulatory compliance - Implementation of training programs for employees *For more details, please download the PDF or feel free to contact us.

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Thorough Explanation! Advantages and Disadvantages of Japanese-Compatible Local LLMs

Providing information to support decision-making for corporate representatives and developers considering implementation!

This time, we will explain local LLMs that support the Japanese language. With the emergence of ChatGPT, large language models (LLMs) have become a focal point of attention. Their high capabilities in text generation and dialogue have the potential to significantly transform our lives and businesses. However, there are also factors that cause hesitation in adoption, such as the risk of confidential information leakage and the necessity of an internet connection. This is where the option of "local LLMs" comes into focus. In particular, local LLMs that support the Japanese language can understand the unique nuances and culture of the Japanese language, enabling them to generate more natural and high-precision outputs. *For more details on the column, you can view it through the related links. Please feel free to contact us for more information.

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Understanding through Examples! 5 Case Studies of Utilizing Generative AI to Solve Challenges in the Construction Industry

It holds the potential to be a breakthrough in solving various challenges faced by the construction industry!

In recent years, the environment surrounding the construction industry has become increasingly harsh. Challenges such as the decrease in skilled workers and labor shortages due to aging, soaring material prices influenced by global conditions, frequent safety accidents, and the strengthening of environmental regulations are piling up. Amid pressures such as tight deadlines and cost reductions, it can be said that fundamental reforms are needed to address these challenges and achieve sustainable business growth. In this context, the utilization of "generative AI" is gaining attention. This article will introduce five specific examples of generative AI applications in construction sites, incorporating advanced cases from overseas. *For more detailed content of the column, please refer to the related links. For further inquiries, feel free to contact us.*

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Business Innovation Strategies Learned from Use Cases of Generative AI in the Gaming Industry

Innovation in the game development process! The introduction of generative AI has significantly improved efficiency.

Generative AI is bringing a new revolution to the gaming industry, and its market size is rapidly expanding. According to recent research, the generative AI market is expected to reach $650 million by 2030, with an astonishing compound annual growth rate (CAGR) of 48.2%. The background of this rapid growth includes practical benefits such as improved development efficiency and expanded creativity provided by generative AI. Compared to traditional manual game development, generative AI can automatically generate vast amounts of content, allowing for reduced development costs while making creative ideas a reality. *For more details, please refer to the related links. For further inquiries, feel free to contact us.*

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Examples of the introduction of generative AI in the manufacturing industry and its cost reduction effects.

We will clarify how local LLMs can contribute to the future of the manufacturing industry!

In the manufacturing industry, advancements in AI (artificial intelligence) have a significant impact on improving work efficiency. In particular, by using local LLMs, various tasks in factories can be optimized, allowing for advanced information processing while protecting important information. Unlike internet-based services, local LLMs handle all data processing within the company, reducing the risk of information leakage. As a result, local LLMs are increasingly being used in the manufacturing industry as a method to enhance efficiency while safeguarding information. This article will introduce examples of companies that have succeeded using local LLMs and consider their benefits and cost-saving effects. *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.*

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Eight Examples of Utilizing Generative AI in Government Agencies and Ministries

Introduction to the purpose and background of implementing generative AI, as well as examples of generative AI utilization in various municipalities.

Generative AI has rapidly evolved in recent years, and its implementation is progressing not only in companies but also in government agencies and ministries to improve operational efficiency and quality. Digital transformation (DX) in administrative agencies is an important issue for enhancing the quality of public services and accelerating operations. Generative AI plays a significant role in this, being recognized as a tool that automates complex document creation and data processing, significantly reducing the workload of staff. *For more details on the column, you can view it through the related links. Please feel free to contact us for more information.*

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Knowledge management leads to the enhancement of a company's competitiveness.

Improving business efficiency and organizational strength through knowledge sharing! An explanation of the basic concepts of knowledge management.

In modern companies, "knowledge management," which effectively shares employees' know-how and experience, is gaining attention. This approach organizes and shares knowledge, leading to improved operational efficiency, prevention of individual dependency, and human resource development, ultimately enhancing the overall competitiveness of the company. This article clearly explains the basic concepts of knowledge management, the benefits of its implementation, and specific methods for success. Additionally, it introduces how it can be utilized for corporate growth, incorporating practical examples. *For detailed content of the column, please refer to the related links. For more information, feel free to contact us.*

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What are the benefits of implementing semantic search in companies?

Explaining the synergistic effects with generative AI! Significantly improving accuracy and efficiency in information retrieval.

In recent years, the competitive business environment has rapidly shifted towards data-driven decision-making. As vast amounts of information are generated daily, the ability to quickly find and utilize the right data has become a crucial competitive advantage for companies. The key to solving this challenge is gaining attention for "semantic search." Semantic search is a search technology that goes beyond mere keyword matching, understanding the meaning and context of search queries to provide appropriate results. This article will explain the fundamental mechanisms of semantic search, its synergistic effects with generative AI, and the specific benefits and success stories for companies implementing it. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

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A comprehensive explanation of how to utilize AI agents to achieve sales efficiency.

Please check how to effectively utilize the power of AI agents!

Do you know how the introduction of AI agents impacts sales activities? In addition to automating tasks such as document preparation and customer support, real-time deal assistance and customer data analysis can enhance the efficiency of the entire sales process. In this article, we will introduce effective ways to utilize AI agents through successful case studies both domestically and internationally (such as Accenture and Salesforce). *For more details on the column, you can view it through the related links. Please feel free to contact us for more information.

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9 Local LLMs for Business Use! A Thorough Comparison of Applications, Performance, and Implementation Costs.

9 types of local LLMs suitable for business use! An explanation of use cases in business.

As more companies utilize AI in their operations, the introduction of "local LLMs (large language models)" is gaining attention. Unlike cloud-based LLMs (such as ChatGPT and Claude), LLMs that operate in a local environment offer advantages such as enhanced data security, cost reduction, and improved customization. That said, many may have questions like "Which local LLM should I choose?", "Which models are suitable for business use?", and "What kind of hardware is necessary?" In this article, we will pick up nine types of local LLMs suitable for business use and provide detailed explanations on: ■ Use cases in business ■ Comparison of Japanese language support ■ Recommended hardware and costs ■ Key points for implementation and operation *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.

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Verification of DeepSeek-R1-Distill-Llama-70B

Thorough examination of the cost, performance, and practicality of DeepSeek-R1-Distill-Llama-70B!

DeepSeek-R1-Distill-Llama-70B is an AI model based on Llama 3.3 70B that utilizes knowledge distillation technology. It excels particularly in Japanese language processing and has strengths in the legal field and business efficiency, making it expected to be utilized in business applications. However, what is the actual cost performance? Is there value in adopting it compared to other AI models? In this article, we will thoroughly examine: ■ The performance and features of DeepSeek-R1-Distill-Llama-70B ■ A comparison with competing AIs such as GPT-4 and LLaMA 70B ■ Cost-effectiveness in business applications ■ The advantages and disadvantages of adoption and suitable use cases We will clarify whether this AI model is truly a "usable" option for companies. *For more details, you can view the related links. Please feel free to contact us for more information.

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Local LLM specialized in manufacturing processes.

A case study of building a 24/7 automated production line using local LLMs!

We will introduce a case study of local LLM utilization by another company. Tsuchiya Gosei Co., Ltd. (Manufacturing Industry) The company faced challenges with data management and system optimization. Therefore, they achieved advanced automation through LLM tuning specialized for the manufacturing process. Key points of implementation include real-time data analysis and automation of quality control, as well as the acceleration of problem detection and response. 【Case Overview】 ■ Key Points of Implementation - Automation of real-time data analysis and quality control - Acceleration of problem detection and response ■ Best Practices - Model customization corresponding to each process - Strengthening collaboration with on-site personnel *For more details, please download the PDF or feel free to contact us.

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Building the discharge summary creation process with a local LLM.

A case of operating the discharge summary creation process utilizing NTT within the hospital network!

We will introduce a case study of local LLM utilization by another company. Mie University Hospital (Medical Industry) The hospital operates a discharge summary creation process using NTT's "tsuzumi" within its internal network. The key points of the implementation are the improvement of electronic medical record summarization accuracy and processing patient data without external transmission. 【Case Overview】 ■ Key Points of Implementation - Improvement of electronic medical record summarization accuracy - Processing patient data without external transmission ■ Best Practices - Optimized for medical environments with a small-scale model - Stabilizing the process through phased implementation *For more details, please download the PDF or feel free to contact us.

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Integration of electronic medical records and local LLM.

Local LLM linked with electronic medical records! A case of operation in a completely local environment.

We will introduce a case study of local LLM utilization by another company. Oda Hospital (Healthcare Industry) The hospital utilizes the local LLM "OPTiM AI" in conjunction with electronic medical records, operating in a completely local environment. The key points of implementation are the automatic generation of admission and discharge summaries and the improvement of accuracy through customization of medical terminology. 【Case Overview】 ■ Key Points of Implementation - Automatic generation of admission and discharge summaries - Improvement of accuracy through customization of medical terminology ■ Best Practices - Model adjustments that balance safety and efficiency - Close collaboration with the IT department *For more details, please download the PDF or feel free to contact us.

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A case study of utilizing generative AI to achieve customer data management.

Case study of the utilization of a locally developed LLM used by approximately 50,000 people in the asset management department!

We would like to introduce a case study on the use of local LLMs at JP Morgan Chase (financial industry). The company utilizes its own developed local LLM, "LLM Suite," which is used by approximately 50,000 employees in the asset management division. Key points of implementation include customer data management under strict regulatory environments, as well as providing document creation, idea generation, and summarization functions. 【Case Overview】 ■ Key Points of Implementation - Customer data management under strict regulatory environments - Provision of document creation, idea generation, and summarization functions ■ Best Practices - Model design focused on regulatory compliance - Implementation of training programs for employees *For more details, please download the PDF or feel free to contact us.

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Why is security important for generative AI?

Local LLMs can be optimized according to industry and business needs with flexible customization!

I would like to introduce the reasons why security is important for generative AI. Due to the increased risk of data leaks that can lead to loss of customer trust and legal liability, as well as the rise in cyberattacks such as hacking and ransomware targeting AI systems, it is crucial to operate generative AI in a highly secure environment. Local LLMs minimize the risk of leaks by not requiring external transmission and offer benefits such as reducing the burden of document creation and automating data analysis. [Conditions for a Highly Secure Environment] ■ Data Sovereignty: Data storage and processing are completed within the company's environment. ■ Access Control: Thorough authentication processes and authority management. ■ Encryption: End-to-end encryption of communication and stored data. ■ Monitoring and Auditing: Log management and early detection of unauthorized access. *For more details, please download the PDF or feel free to contact us.

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What are local AI applications that can use AI search?

Utilize suitable AI with selectable local LLMs! Compatible with in-house servers and the cloud.

"Microcosm" is a local AI application that allows anyone to easily and safely utilize AI, enabling quick searches for desired files through AI search. It can operate in an offline environment, allowing for document creation and data analysis while protecting confidential information and customer personal data. Since prompts and RAG settings can be configured in advance, suitable results can be generated with just text input. By utilizing RAG, FAQ chats can be easily created. 【Features】 ■ Usable without internet ■ Choose and use suitable LLMs ■ No-code, ready to use immediately ■ Prompt and RAG settings available *For more details, please download the PDF or feel free to contact us.

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By implementing AI search, the training time for young employees is reduced.

Utilizing generative AI to convert tacit knowledge into explicit knowledge! Streamlining the education of young engineers.

We would like to introduce the "Benefits of Implementing AI Search" that we propose. By utilizing generative AI to convert tacit knowledge into explicit knowledge, the education of young engineers is made more efficient, reducing learning time. Centralized information management allows for quicker problem-solving on-site, and it may significantly reduce the risk of technology leakage. 【Benefits】 ■ Improved operational efficiency: Rapid problem-solving through centralized information management ■ Enhanced educational efficiency: Shortened learning time through the formalization of tacit knowledge ■ Risk reduction: Prevention of technology leakage and sustainable technology succession *For more details, please download the PDF or feel free to contact us.

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High-Precision Search System for Similar Design Proposals through Integrated Generative AI

Building a high-precision search system for similar design proposals through the integration of generative AI into PLM "Obbligato"!

We will introduce case studies of AI search utilization from other companies. Design Knowledge Inheritance Platform at NEC The company faced challenges such as 3D-CAD data in the manufacturing industry being isolated within the organization and past design know-how not being utilized. After implementation, the proposal for optimal placement of welding points extended the fatigue life to 2.3 times compared to before. This promoted the efficiency of the design process, cost reduction, and effective utilization of design know-how. [Case Overview] ■ Background - A heavy electrical manufacturer had a reuse rate of only 17% for 30 years of design data. ■ Results - The average number of prototypes decreased from 4.2 to 1.8. - The man-hours for design changes were reduced by 37%. - The time for inheriting vibration design knowledge was shortened by 80%. *For more details, please download the PDF or feel free to contact us.

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AI search-based hazard prediction AI system

A case aimed at building a risk prediction AI system that visualizes risks during the input of work plans!

We will introduce a case study of AI search utilization from another company. Danger Prediction AI from a chemical materials manufacturer (Asahi Kasei) The company faced challenges such as the limitations of a safety management system that relied on the danger prediction abilities of experienced workers in chemical plants. After implementation, they achieved a strengthened safety management system and improved work efficiency by 1,200 hours annually. 【Case Overview】 ■ Background - A 34% turnover rate among veteran workers over the past five years, with a sharp increase in near-miss incidents. ■ Results - The number of serious accidents decreased by 67% compared to the previous year. - Danger prediction judgments were reproduced with 92% accuracy. - The risk assessment time for reaction tank cleaning tasks was reduced from 45 minutes to 8 minutes. *For more details, please download the PDF or feel free to contact us.

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Shortening the skill acquisition period through the construction of a knowledge transfer AI system.

A case aimed at shortening the technical acquisition period and improving the pass rate through the construction of a knowledge transfer AI system!

We will introduce examples of AI search utilization from other companies. Inheritance of product development know-how at a chemical manufacturer (Lion Corporation × NTT Data) The company faced challenges such as the inability to inherit tacit knowledge, including difficult-to-quantify raw material blending ratios and foaming control techniques. After implementation, they achieved maintenance of product development quality, increased productivity, and more efficient know-how inheritance. 【Case Overview】 ■ Background - The turnover rate of skilled technicians in the development of laundry powder detergent manufacturing processes is 7% per year. ■ Results - The average technical acquisition period was reduced from 6.8 months to 3.2 months. - The first-pass yield in the optimization process of detergent particle size improved from 72% to 89%. - The time spent on knowledge extraction tasks by skilled technicians was reduced by 58%. *For more details, please download the PDF or feel free to contact us.

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Promoting autonomous learning for young engineers and speeding up inquiry responses through AI search.

A case aimed at promoting autonomous learning for young engineers and speeding up inquiry responses!

Introducing examples of AI search utilization from other companies. Taisei Corporation's Construction Technology Exploration System The company experiences over 3,000 inquiries regarding construction technology each year. On average, it takes 3 business days to respond, and the barrier of technical jargon hinders the autonomous learning of young engineers. After implementation, there was a significant reduction in inquiry response time and efficient technology transfer through continuous improvement. [Case Overview] ■ Background - Inefficiency of an OJT-dependent education system ■ Results - Immediate resolution rate improved from 58% to 89% - Time to search for similar cases reduced from an average of 45 minutes to within 5 minutes - Response accuracy improved by 2.3% each month due to feedback loops *For more details, please download the PDF or feel free to contact us.

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Reduced search time for accident response manuals by 70% with AI search.

Introducing a case where the search time for the accident response manual was reduced by 70% compared to the conventional method!

We will introduce a case study of AI search utilization by another company. Demonstration experiment of the railway construction skill inheritance system at JR West Japan. As background for the project, there was a situation where the formalization of tacit knowledge was not progressing, and young engineers were unable to quickly search for the necessary information. Through the demonstration experiment, young engineers were able to quickly obtain the necessary information, and a new method for quantifying the tacit knowledge of veterans promoted skill inheritance. [Case Overview] ■ Background - Aging of skilled construction personnel is progressing. - Approximately 60,000 construction plans and accident reports are stored in a distributed manner on the cloud. ■ Results - The accuracy of discovering inconsistencies in construction plans improved by 45%. - The relevance score of search results improved to 0.82 (1.4 times compared to before). *For more details, please download the PDF or feel free to contact us.

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[Data] Best Practices for Implementing Local LLMs Learned from Successful Cases

Explaining methods to safely utilize generative AI based on successful cases in finance, healthcare, and manufacturing!

This document introduces how local LLMs are utilized across various industries and the results companies are achieving, based on specific examples. It includes conditions for high-security environments, types of environments, and the benefits of local LLMs, as well as industry-specific success stories of local LLM applications in sectors such as finance and healthcare. Generative AI in high-security environments balances security and efficiency. Let's start transforming your business with your local LLM. 【Contents】 ■ Introduction ■ Why is security important for generative AI? ■ Industry-specific success stories of local LLM applications ■ Conclusion ■ What are applications that make local LLMs easy to use? *For more details, please download the PDF or feel free to contact us.

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[Information] Key Points and 5 Successful Examples of Technology Inheritance through the Use of Generative AI

Improving business efficiency, enhancing educational effectiveness, and reducing risks! Introducing successful examples of AI search utilization.

This document summarizes efforts to utilize generative AI to convert the tacit knowledge of skilled technicians into explicit knowledge, addressing the challenges of technology transfer. It discusses the overall challenges in the industry, the factors contributing to these challenges, solutions, successful examples of AI search utilization, the benefits of implementation, and local AI applications that can use AI search. By leveraging AI search powered by generative AI technology, it is possible to find the desired data from personalized information and siloed internal data. 【Contents】 ■ Introduction ■ Challenges in the Industry ■ Examples and Effects of Generative AI ■ Benefits of Implementing AI Search ■ What are Local AI Applications that Can Use AI Search? *For more details, please download the PDF or feel free to contact us.

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[Data] 5 Examples of Business Applications of Local LLMs

An explanation of the challenges faced during implementation and their solutions!

This document introduces how local LLMs are utilized across various industries and the results companies are achieving, based on specific examples. It includes the four benefits and use cases of local LLMs, technical requirements, challenges in implementation, and successful cases in sectors such as finance and healthcare. Local LLMs significantly contribute to data privacy protection, cost reduction, and operational efficiency. [Contents (partial)] ■ Introduction ■ Four Benefits of Local LLMs ■ Use Cases of Local LLMs ■ Technical Requirements of Local LLMs ■ Challenges in Implementation *For more details, please download the PDF or feel free to contact us.

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Local AI System 'Microcosm'

Anyone can easily and safely utilize AI! A solution that creates the future.

"Microcosm" is a local AI system that can be utilized with systems owned and operated in-house. Since it operates in an offline environment, it allows for document creation and data analysis while protecting confidential information and customer personal data. You can easily implement the necessary LLM and customize it according to your work needs. Any LLM that is publicly available as open source can be used. [Features] ■ Usable without the internet ■ Ability to choose suitable LLMs ■ Free to use ■ Prompt and RAG settings available *For more details, please download the PDF or feel free to contact us.

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Utilizing external expertise in generative AI and blockchain.

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

Our company offers a comprehensive and phased "AI & Blockchain Consulting and System Development Support Service" tailored to meet the business needs of our clients. Do you have concerns such as "We want to leverage external expertise because we don't have in-house experts in AI and blockchain technology" 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 Details】 ■ Business Idea Generation ■ 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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Unclear evaluation methods for generative AI and blockchain raise concerns.

[Consulting for Manufacturing Industry] Comprehensive support from specific business model proposals 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 "uncertainty about market research and feasibility evaluation methods" 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 Details] ■ Business Idea Generation ■ 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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I don't know how to model with generative AI and blockchain.

[Consulting for Manufacturing Industry] Comprehensive support from specific business model proposals 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 like "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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The method to incorporate generative AI and blockchain into business is unclear.

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

Our company offers a comprehensive and phased "AI & Blockchain Consulting and System Development Support Service" tailored to meet the business needs of our clients. Do you have concerns such as "I am unclear on how to incorporate AI and blockchain into my business" 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 Details】 ■ Business Idea Generation ■ 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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Are you missing out on business opportunities 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 don't know how to utilize advanced technologies, and I'm missing out on business opportunities" when leveraging 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 Details】 ■ 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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Features of i.human for Manufacturing Industry Consulting

By utilizing character × AI × NFT, we achieve improved customer satisfaction and enhanced operational efficiency!

"i.human" is a product that enables interactive dialogue with realistic expressions through advanced avatar generation technology and natural language processing technology. Through an innovative human interface, your business can capture the hearts of customers and provide experiences that exceed their expectations. It allows for natural communication with users, creating a deep connection as if you were talking to a human. 【Features】 ■ Smooth responses ■ Prompting and fine-tuning ■ High-quality characters ■ Security *For more details, please refer to the related links or feel free to contact us.

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I'm looking for a partner who can support me in utilizing generative AI.

[Consulting for Manufacturing Industry] Total support from idea creation to development!

Our company offers a comprehensive and phased "AI New Business Consulting Service" tailored to meet the business needs of our clients. Are you facing challenges such as "looking for a partner who can consistently support us from the stage of business idea generation to system development and implementation" regarding the business utilization of generative AI? We provide total support for this challenge, from generating business ideas using generative AI to market analysis, prototype development, and system development. [Service Details] ■ Business Idea Generation ■ 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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Utilizing generative AI for business: I want to leverage external expertise.

[Consulting for Manufacturing Industry] Total support from idea creation to development!

Our company offers a comprehensive and phased "AI New Business Consulting Service" tailored to meet the business needs of our clients. Do you have concerns such as, "We don't have in-house experts familiar with AI technology, so we want to leverage external expertise" regarding the business utilization of generative AI? We provide total support for this challenge, from generating business ideas using generative AI to market analysis, prototype development, and system development. [Service Details] ■ 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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Utilization of Generative AI in Business: Unclear methods for market research and feasibility assessment.

[Consulting for Manufacturing Industry] Total support from idea creation to development!

Our company offers a comprehensive and phased "AI New Business Consulting Service" tailored to meet the business needs of our clients. Do you have concerns such as "I am unclear about the methods for market research and feasibility assessment necessary for launching a new business using generative AI, and I feel anxious"? We provide total support for this challenge, from generating business ideas using generative AI 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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How to actually implement the business use of generative AI.

[Consulting for Manufacturing Industry] Total support from idea creation to development!

Our company offers a comprehensive and phased "AI New Business Consulting Service" tailored to meet the business needs of our clients. Do you have concerns such as, "We can come up with new business ideas internally, but we don't know how to turn them into actual business models"? We provide total support for this challenge, from generating business ideas using generative AI 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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