[6/7 Seminar] Early Detection of Equipment Troubles with No Prior Experience - AI-based Anomaly Prediction Without the Need for Abnormal Data - Ube Information Systems

Promoting data utilization in the IoT era! One-stop support from issue identification to systematization and improvement proposals.

At UIS, we have been working on utilizing manufacturing operation data and solving on-site issues through simulation for about 20 years, even before the recent boom in big data analysis and AI. We combine the domain knowledge gained from the field with data analysis to support the manufacturing site from multiple angles. Not only do we analyze data, but we also provide one-stop solutions for extracting issues in upstream processes, acquiring and accumulating data, and implementing systems and improvement proposals in downstream processes as needed. 【Features】 ■ One-stop solutions from issue extraction to system implementation and improvement proposals ■ Abnormality and failure detection services utilizing manufacturing operation data ■ Cause analysis services using manufacturing operation data and quality data ■ Soft sensor construction services for predicting unmeasurable values *For more details, please refer to the PDF document or feel free to contact us.

• Analysis Services

Adopted by many companies worldwide! Accelerating DX using highly reliable operational data!

The "PI System" is a real-time data management system designed to visualize and share operational data (such as production results, quality information, and equipment utilization rates) in real time. It is widely used in industries such as electricity, gas, oil, chemicals, and manufacturing, serving as a platform to collect and utilize time-series data from various equipment and sensors, and has been adopted by many companies worldwide as a global standard. At Ube Information Systems, we support our customers' digital transformation based on our long-standing experience in developing infrastructure for group companies and utilizing collected data related to this system. 【Features】 ■ PI Interface: Supports over 450 types of data sources Capable of collecting time-series data from vendor systems, assets, and sensors ■ PI Data Archive: Compresses and stores data Enables long-term data storage and quick data retrieval ■ PI Asset Framework: Associates data with equipment as a key Provides "information" that anyone can easily use *For more details, please refer to the PDF materials or feel free to contact us.

• Document and Data Management

[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