We will be exhibiting at the Kansai Monozukuri World "Monozukuri AI/IoT Exhibition" from October 5 (Wed) to October 7 (Fri).

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

[Speaker] Naomasa Shibuya, Department Manager Data Marketing Unit, Strategy and Platform Division East Japan Railway Company Marketing Headquarters [Key Lecture Content] East Japan Railway Company announced a new group management vision, "Yusho 2034," aimed at realizing a rich life for all people by July 2025. In addition to the railway transportation business, we will further expand lifestyle service businesses (non-railway) such as station facilities, station buildings, hotels, and real estate, promoting human-centered marketing focused on our customers. To achieve this, data marketing utilizing usage history from Suica and JRE Point members is essential. It is not enough to simply implement tools or acquire analytical techniques; it is crucial to cultivate personnel who understand the business and can conduct appropriate data analysis and strategy planning. We will also introduce the development of job-type personnel in data marketing, which we began recruiting in 2024. In this lecture, I will discuss the key points for advancing data marketing within a business company, incorporating case studies.

[Lecturers] Mitsubishi UFJ Research and Consulting Co., Ltd. Consulting Business Division Sustainability Business Unit, Sustainability Strategy Department, Group 1 Senior Manager Ryo Maeda Consultant Keiro Shimada [Key Lecture Content] Towards achieving carbon neutrality by 2050, Japan is advancing the introduction of a carbon pricing system. This lecture will explain the overview of carbon pricing and the price determination mechanisms for fossil fuel levies and specific business burdens, and will discuss future price forecasts and their impact on companies. Furthermore, it will organize the latest trends in GX-ETS Phase 2 and carbon credits, as well as issues related to credit supply and demand and utilization, and will propose measures that companies need to take in light of the introduction of the carbon pricing system. [Lecture Items] 1. Trends in the carbon pricing system 2. Trends in carbon credits 3. Required responses from companies 4. Q&A / Business card exchange

We will be exhibiting at the "International Frontier Industry Messe," one of the largest comprehensive exhibitions in western Japan. September 4 (Thursday) - 5 (Friday), 2025 Kobe International Exhibition Hall 2nd floor, Hall 1, Booth Number P-74 Inside the Aioi Chamber of Commerce booth We sincerely look forward to your visit.

In recent years, the pharmaceutical and medical industries have faced urgent challenges, including the digitization of standard operating procedures (SOPs) and the strengthening of continuous education and human resource development. In this webinar, we will introduce a comprehensive system that not only streamlines operations but also consistently supports education and human resource development by integrating Agatha's SOP management cloud solution "Agatha SOP" with "Ave-TMS," a training management system provided by BIO-TREND BIOPRODUCTS, with whom Agatha has recently signed a distribution agreement. [Program] Part 1: 14:00 - 14:20 "Introduction to Agatha Solutions" Agatha Inc. Sales & Marketing Department, Quality Group Part 2: 14:20 - 15:00 "Ave-TMS Demo Presentation" BIO-TREND BIOPRODUCTS Project Manager, Choi Woo-Chun *For Q&A, please fill out the survey displayed after the webinar, and we will respond later.

[Speaker] Toshio Kawamoto, Managing Director / Head of Cross Creation Group, NTT Data Management Research Institute, Business Transformation Unit, and Co-representative of Social Innovation Alliance Japan Denmark Takaaki Sukegawa, Senior Manager [Lecture Items] 1. Competitiveness and Governance in the Post-Generative AI Era - Toshio Kawamoto [13:00 - 14:00] 1. Introduction to NTT Data Management Research Institute 2. Major countries' perspectives on AI utilization 3. Considerations for companies when building AI governance 4. Examples of AI governance construction in Japan 5. Introduction of our company's achievements in related projects 6. Q&A / Business card exchange 2. On-Site AI Risk Management in Europe ~Introduction to Trends in AI Utilization in Europe and Advanced Centralized AI Risk Management Solutions~ - Takaaki Sukegawa [14:10 - 15:10] 1. Overview of centralized AI risk management 2. Detailed approach 3. Introduction of case studies applying the approach 4. Q&A / Business card exchange