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Let's improve productivity with Microsoft 365 Copilot.

Let's improve productivity with Microsoft 365 Copilot.

If you're using generative AI in manufacturing, Microsoft 365 Copilot is recommended.

AI technology has made remarkable advancements in recent years, and among them, generative AI has garnered attention as an innovative technology that sets itself apart from traditional AI. Generative AI can do more than just analyze data; it can mimic human creativity by creating text, generating images, composing music, and more. However, the reality is that many companies have not yet fully harnessed the potential power of generative AI. If we continue to ignore generative AI, it will become increasingly difficult to compete and survive in the market. *For more details on the column, please refer to the related links. Feel free to contact us for more information.*

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Let's utilize generative AI for end-user hearings.

Let's utilize generative AI for end-user hearings.

Increase the success rate of robot system projects and achieve higher customer satisfaction!

In robot system projects, end-user hearings are a crucial step that can determine the success of the project. However, hearings require time and effort, and there are many challenges such as missing information and overlooked questions. Generative AI is an innovative tool that can solve these challenges and significantly improve the quality and efficiency of hearings. In this article, we will explain in detail how generative AI can be utilized in end-user hearings, including specific examples. *For more details on the column, please refer to the related links. If you have any questions, feel free to contact us.*

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Examples of the use of generative AI in the manufacturing industry have been made public.

Examples of the use of generative AI in the manufacturing industry have been made public.

AI utilization strategies that bring a revolution to the manufacturing industry! We will also introduce actual examples of AI application in the manufacturing sector.

The modern manufacturing industry needs to ride the wave of technological innovation to quickly respond to the ever-changing demands of the market. In this context, the utilization of generative AI is bringing about significant transformations across the industry. AI technology goes beyond mere automation tools and is becoming the key to solving various challenges in the manufacturing sector, such as improving operational efficiency, standardizing quality control, and optimizing communication. In this article, we will present actual case studies of AI utilization in manufacturing that we have consulted on, discussing their effects and considerations when incorporating these technologies. *For more details, please refer to the related links. Feel free to contact us for more information.*

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The emergence of "GPT-driven robot SIers" that will transform the future of the industrial world.

The emergence of "GPT-driven robot SIers" that will transform the future of the industrial world.

Question answering, image analysis, automation suggestions, provision of basic knowledge, and more! Equipped with a wide range of functions.

In recent years, artificial intelligence (AI) technology has made innovative progress in many industrial fields. In particular, advanced AI models like GPT (Generative Pre-trained Transformer) hold the potential to fundamentally change business processes, with expectations for improved efficiency and problem-solving. In this context, the "GPT-driven Robot SIer" developed offers a wide range of functions, including question answering, image analysis, automation proposals, and provision of basic knowledge, emerging as a new solution to tackle complex challenges related to the introduction of industrial robots and factory automation. *For more details on the column, please refer to the related link. For further inquiries, feel free to contact us.*

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The power and potential of local LLMs to shape the future of the manufacturing industry.

The power and potential of local LLMs to shape the future of the manufacturing industry.

Explaining Local LLMs! We will also introduce their benefits and examples of use in the manufacturing industry.

The manufacturing industry continues to seek efficiency and precision, making the introduction of new technologies essential. Among these, local LLMs (Large Language Models) are particularly gaining attention. While ensuring data security, local LLMs provide high-performance natural language processing capabilities that do not rely on the internet. What benefits can local LLMs bring to the manufacturing industry? This article will explain the basic concepts of local LLMs and provide detailed examples of their applications. *For more details, you can view the related links. Please feel free to contact us for more information.*

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How far can we create 3D models using zoo.dev?

How far can we create 3D models using zoo.dev?

A platform that provides the foundation for modern hardware design toolkits!

In recent years, the advancement of AI technology has dramatically changed the design process. Particularly noteworthy is the Text2CAD tool, which generates 3D CAD models using natural language. This innovative tool has become a major topic in the industry as it allows engineers and designers to shape their ideas using intuitive language. In this article, we will explore what kind of 3D models can be generated using the Text2CAD tool provided by zoo.dev, examining its limitations and possibilities. We will analyze in detail how this tool changes the work of professionals. *For more details on the column, please refer to the related links. Feel free to contact us for more information.*

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How to efficiently build a knowledge base in the manufacturing industry.

How to efficiently build a knowledge base in the manufacturing industry.

Designed specifically for the needs of experts and engineers! Introduction of advanced generative AI tools.

In modern manufacturing, vast technical manuals and process documents are used daily, but quickly extracting necessary information from these documents often poses a significant challenge. The AI tool "SPESILL" provides a revolutionary solution to this problem. We will introduce the process of using SPESILL to centralize scattered technical information and build an intuitively accessible knowledge base. Let's explore how this tool transforms traditional data management methods and improves efficiency in the manufacturing industry. *For more details on the column, please refer to the related link. Feel free to contact us for more information.*

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I tried creating a Robo Risk Analyst.

I tried creating a Robo Risk Analyst.

The evolution of tool development for the manufacturing industry utilizing GPTs! Tools customized for the manufacturing sector.

We have developed the "Robo Risk Analyst" using GPTs. The "Robo Risk Analyst" is an innovative tool that leverages the capabilities of ChatGPT. It quickly identifies risks faced in manufacturing environments, explains those risks in easily understandable terms, and provides appropriate risk assessments. This enables safety measures to be implemented with unprecedented speed and accuracy, achieving accident prevention and risk minimization. *For more details on the column, please refer to the related link. For further inquiries, feel free to contact us.

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Leave the environment setup, prompt engineering, and technical support to us.

Leave the environment setup, prompt engineering, and technical support to us.

Accelerate your business with AI! An overview of support for building a no-code AI environment.

We provide consulting on how to utilize platforms such as Microsoft Copilot Studio, GPTs, and Dify. While holding regular meetings, we will respond to questions received in the group chat as they arise. We support the development of an environment suited to your company, as well as personnel training and operational maintenance. This is a must-see for those who are "interested but cannot envision specific utilization methods" or "lacking personnel with the necessary knowledge and skills for implementation and operation." *For detailed content of the column, please refer to the related links. For more information, feel free to contact us.

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