【Exhibition 10/26 (Wed) - 10/28 (Fri)】We will be exhibiting at the Nagoya Smart Factory EXPO "Manufacturing Innovation Exhibition through IoT/AI/FA."

As an enabler company for our customers, we contribute to society through manufacturing innovation!

At Fields Technology Co., Ltd. is a group of engineers dedicated to developing the necessary manufacturing conditions and systems for new product development and mass production improvement, primarily in the semiconductor manufacturing field. We provide consistent support from proposing improvement measures aimed at problem-solving to implementing and following up on solutions, by directly addressing issues on-site and utilizing statistical methods based on principles and fundamentals. We promise to be a strong partner in improving our customers' management. 【Business Activities】 ■ Infrastructure system construction and application software development ■ Data collection and analysis ■ Development of manufacturing methods in the manufacturing technology field *For more details, please refer to the PDF document or feel free to contact us.

• Other contract services

Attention managers and personnel in the manufacturing and quality control departments! We present case studies on improvements utilizing data.

To realize a smart factory, it is considered necessary to achieve "connectivity" through the collection and integration of production equipment data. However, simply collecting data and "connecting" it will not yield the management value that was envisioned. It is important to gather and utilize data that "connects" to value. This document presents examples of improvements utilizing data, focusing on the methods for collecting and processing the data necessary to achieve management value. [Recommended for] ■ Those who want to work on smart transformation but don't know where to start ■ Those who want to start collecting data from a single piece of equipment ■ Those who are struggling with data collection from old equipment ■ Those who have collected data from production equipment but are not seeing management results ■ Those who want to know about case studies of data collection services [Contents] ■ Purpose of this document ■ Expected challenges ■ Solutions to the challenges ■ Service introduction ■ Case study introduction ■ Company overview *For more details, please refer to the PDF document or feel free to contact us.

• Business Intelligence and Data Analysis

Information useful before system implementation, including common challenges and solutions for realizing predictive maintenance of equipment.

Our company provides consistent technical support from the acquisition to the utilization of various data in manufacturing plants. Furthermore, we are capable of building infrastructure, including data collection tools. This document introduces common challenges and solutions in implementing equipment anomaly monitoring, as well as the features of our analysis and anomaly management system, "＠FieldEye Manager," and examples of its utilization. It is recommended for those who want to start predictive maintenance for equipment or have challenges in collecting and utilizing equipment data. *For more details, please check the download button. Feel free to contact us as well.*

• Business Intelligence and Data Analysis

Implementing the necessary functions for effective utilization of manufacturing data! Seamlessly achieving data analysis to anomaly monitoring.

The "@FieldEye Manager" is an analysis and anomaly management system that seamlessly realizes data analysis and anomaly monitoring through centralized data management and modeling. It implements necessary functions for effective utilization of manufacturing data, including "high-speed processing of large volumes of data and external integration," "high-precision analysis," "anomaly detection," and "modeling." In response to the challenge that "most quality anomalies are discovered in later processes, leading to reactive measures and increased losses," there are cases where we have checked 500 equipment parameters in real-time at 10,000 files per day to prevent the outflow of quality anomaly lots in advance. 【Features】 ■ Big Data Support: High-speed search using NoSQL DB ■ Usability: Trimming, overlaying time series, and statistical value display ■ Modeling and Anomaly Detection: Automatic judgment through modeling of normal waveforms *For more details, please refer to the PDF materials or feel free to contact us.

• Other analyses

[Lecturers] Daisuke Tateno, Partner, Arthur D. Little Japan K.K. Akihiro Nagayama, Principal [Key Lecture Content] Drones, AI, software, satellites, and electronic warfare are fundamentally changing the way wars are fought, and the defense industry is currently transitioning from a heavy and traditional model to one centered around AI, software, data, and unmanned systems. In the United States, emerging companies like Palantir and Anduril, which are software-driven, are challenging existing defense firms. In Japan, structural changes are beginning with the Defense Capability Development Plan, the Defense Industry Base Strengthening Act, and the entry of startups. This seminar will discuss the changes in the global security environment and industrial structure, the strategies of advanced players both domestically and internationally, and the areas where Japanese companies can succeed, including dual-use, collaboration with software companies, M&A and alliances, and talent strategies. We will consider how to view change not as a threat but as a growth opportunity, and how to construct a new Japanese defense industry from a management perspective.

[Speaker] Kazuki Miyamoto, Representative/Analyst, VentureClef, USA [Key Lecture Content] The frontier model in the United States is evolving at an unexpected speed. AI agents based on the frontier model have completely transformed business forms in companies. Chinese companies are developing large-scale open source projects, and their performance is approaching that of the U.S. model. Meanwhile, U.S. companies have begun developing open source, leading to a direct confrontation between the U.S. and China. The seminar will examine the frontier models of both countries and explain the latest technologies and important trends. It will organize points on how Japanese companies should perceive the U.S.-China AI development competition from technological and business perspectives. It will also consider strategies for companies to succeed in the AI era, including the differentiation between the U.S. and Chinese models, as well as the advantages and challenges of open source versus closed source. [Lecture Items] <1> Frontier Model (USA) <2> Frontier Model (China) <3> Technology Trends and AI Strategies for Japanese Companies <4> Q&A

[Speaker] Chief Expert Ji Hui, Future Creation Center, Nomura Research Institute, Inc. [Key Lecture Content] *We plan to update with the latest information based on field research as necessary.* At the World Artificial Intelligence Conference held in Shanghai in July 2026, Huawei unveiled its next-generation computing infrastructure products based on its proprietary AI chips, attracting significant attention. Amid ongoing U.S. export restrictions on advanced semiconductors, Huawei demonstrated its approach to overcoming the performance limits of standalone chips through "systems engineering," showcasing its commitment to leading the development of an autonomous AI ecosystem in China, encompassing computing infrastructure, cloud, OS, and AI models. Based on the latest field research results, this lecture will explain the latest trends in Huawei's AI strategy (computing infrastructure, AI models: AI social implementation, AI ecosystem, etc.) in the context of the overall landscape of China's AI industry. [Lecture Topics] 1. Current State of China's AI Industry 2. Progress in Domestic Production of Infrastructure 3. Huawei's Full-Stack AI Ecosystem 4. Future Prospects 5. Q&A

[Key Lecture Content] 1. Overview of the Law Amending Part of the Act on the Protection of Personal Information (Amendment of 2023) Kento Kido, Deputy Director, Personal Information Protection Commission 1. Background leading to the enactment of the amended law 2. Amendment Content [1] (Promotion of Proper Data Utilization) 3. Amendment Content [2] (Regulations Responding Appropriately to Risks) 4. Amendment Content [3] (Prevention of Improper Use, etc.) 5. Amendment Content [4] (Regulations to Ensure the Effectiveness of Compliance) 6. Towards the Implementation of the Amended Law (Status of Consideration for Ordinances, Regulations, Guidelines, etc.) 7. Q&A / Business Card Exchange 2. Key Points for Practical Response to the Implementation of the Amended Law Jun Okada, Partner Attorney, Mori Hamada & Matsumoto Law Firm 1. Overall Perspective on Practical Response Based on the Amended Law 2. Specific Discussion [1]: Statistical Exceptions and AI 3. Specific Discussion [2]: Handling of Children's Personal Information, etc. 4. Specific Discussion [3]: Administrative Fines 5. Specific Discussion [4]: Other Individual Issues 6. Timeline and To-Do List for Full Implementation 7. Q&A / Business Card Exchange

The ODU-MAC Silver-Line industrial automatic disconnect connector is widely adopted in various applications such as production equipment and medical devices, not only in the EU market but also in Japan. In this webinar, we will provide a detailed explanation of new products, including the P4+ frame with an increased floating width, the EBP module that accommodates fiber core misalignment, and the thermocouple module. We will also introduce improvements to the ODU-MAC/DOCK series catalog, which has become easier to use and select products from. We will explain everything clearly, making it accessible for both those who are already using the ODU-MAC/DOCK series and those who are interested but have not used it before, so please join us. ------------ Date: September 3, 2026 (Thursday) 14:00 - 14:35 Venue: Online (A URL for the venue will be sent via email after registration) Speakers: Masaru Kimura, Sales Manager, ODU Japan Co., Ltd. Miho Kato, Sales Department, Chemex ONE Co., Ltd. ------------