[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

NX Research Institute will hold a free webinar on November 25 (Tuesday) at 14:00 titled "LogiTan 10th Anniversary Celebration - Thanks to You, It's Our 10th Anniversary! Introducing Two New Services for Further Evolution of Logistics Data!" If you are interested in the digitization of logistics operations, please join us. Details and registration: https://www.nx-soken.co.jp/seminar/seminar_20251125_online ● Session Content [Part 1] The Journey of LogiTan Over 10 Years and Challenges for the Future [Part 2] The First Step in Field DX! The Path to a Smart Warehouse Starting with DigiBo [Part 3] Forklift DX! Utilizing "FORK FLOW" to Make Operations Visible with Just a Smartphone [Part 4] The Field Speaks! The Innovative Door Opened by the "Work Probe System" × "LogiTan" ● Event Overview Date: November 25, 2025 (Tuesday) 14:00 - 15:30 Venue: Online *Using Zoom Video Webinar (Free to use) Capacity: 100 participants *First come, first served Registration Deadline: November 20, 2025 (Thursday) 18:00

A must-see BI tool for management, along with DX consulting and management support services, is a specialized exhibition gathering solutions that support company-wide DX promotion.

[Speaker] Daisuke Imaizumi, President and CEO, Infocommons Inc. [Key Lecture Content] The rapid expansion of AI data centers is fundamentally changing traditional power infrastructure design. In this lecture, we will systematically explain the latest trends in AI data centers worldwide, including the United States, South Korea, and the Middle East, from the perspectives of power generation, transmission, and electrical equipment. We will analyze in detail cutting-edge examples such as massive campuses equipped with dedicated power generation of 4-5 GW, government-led models involving wide-area transmission network renovations, and integrated national infrastructure concepts in the Middle East that combine gas, renewable energy, and desalination. Furthermore, we will organize practical issues such as system capacity constraints due to concentrated GPU operations, advancements in cooling, energy storage, and distribution equipment, and the utilization of former power plant sites, while presenting areas and policy implications where Japanese companies can enter. This is a must-see lecture for capturing the power infrastructure strategy in the era of AI data centers. [Lecture Items] 1. Introduction 2. Learning from Case Studies: Latest Trends in Global AI Data Centers 3. Insights from Case Studies: Key Points in Power Generation, Transmission, and Electrical Equipment 4. Q&A

[Speaker] United States Informa Techtarget (Omdia) Consulting Director Mr. Toshiya Suzuki [Key Lecture Content] Starting from 2024, large investments in AI servers by hyperscalers have accelerated the market recovery from the COVID-19 pandemic. However, power semiconductors have been slow to recover due to a downturn in the automotive and industrial equipment markets, and in some areas, inventory adjustments are still taking time. This lecture will explain the importance of power semiconductors in the semiconductor market driven by AI servers, as well as the challenges and winning scenarios faced by the global power semiconductor industry with the rise of China. [Lecture Items] 1. Semiconductor Market Outlook 2. Impact of AI on the Semiconductor Market 3. Trends in the Power Semiconductor Market 4. The Rise of China's Power Semiconductors 5. Challenges and Winning Scenarios from the Geopolitical Perspective of Power Semiconductors 6. Q&A / Business Card Exchange

[Speaker] Partner Attorney at TMI Comprehensive Legal Professional Corporation Representative Director of TMI Privacy & Security Consulting, Inc. Mr. Tetsuya Oi [Key Lecture Content] This seminar targets individuals from business divisions of companies considering data utilization businesses, particularly in (1) online advertising, and legal departments of companies that want to comprehensively organize legal regulations regarding personal data, amid the rapid development of data utilization businesses. [Lecture Topics] 1. Examples of data businesses in various industries 2. Legal regulations regarding data utilization 3. Legal issues for online advertising measures 4. Legal issues related to connected cars 5. Legal issues related to medical big data 6. Q&A / Business card exchange