Let's create the optimal DX ourselves: Information about the IoT and DX realization seminar.

A high-performance computer that matches the IoT era! It achieves high performance with a quad-core processor.

The "Super Classembly Devices" is an ultra-compact computer for embedded use, sized like two business cards. It is equipped with a high-performance CPU (Intel) that runs Windows 10 smoothly. Due to its ultra-compact size, it can be installed in narrow spaces. Additionally, a PoE-powered model is available, making it easy to install in locations where obtaining power is difficult. 【Features】 ■ Balances wide temperature range and performance ■ Compatible with various operating systems ■ Supports 4GB of memory ■ Zero spindle ■ Long-term stable supply *For more details, please refer to the PDF document or feel free to contact us.

• Industrial PCs

[Lecturer] Takeshi Ichimura President and CEO, Energy Pool Japan Co., Ltd. Committee Memberships as of August 2025 - Study Group on Next-Generation Decentralized Power Systems, Agency for Natural Resources and Energy - ERAB Study Group, Agency for Natural Resources and Energy - Study Group on the Nature of Simultaneous Markets, Agency for Natural Resources and Energy - Committee on Adjustment Power and Supply-Demand Balance Evaluation, Electricity Wide Area Operation Promotion Organization - Subcommittee on Supply-Demand Adjustment Market, Electricity Wide Area Operation Promotion Organization - Study Group on Future Power Supply-Demand Scenarios, Electricity Wide Area Operation Promotion Organization - Working Group on Future Supply-Demand Scenarios (Load Curve, DAC) [Lecture Items] October 28 (Tuesday) 13:00 - 15:00 1st Session: Learning About the Electricity Business and Capacity Market from Scratch 1. Fundamental Discussion: What is Power System Reform? 2. Learning About the Capacity Market from Scratch 3. Summary 4. Q&A November 7 (Friday) 15:00 - 17:00 2nd Session: Learning About the Electricity Business and Supply-Demand Adjustment Market & Simultaneous Market from Scratch 1. Fundamental Discussion: What is Power System Reform? (Review of the 1st Session) 2. Learning About the Supply-Demand Adjustment Market from Scratch 3. Summary 4. Q&A

[Lecturer] Mitsubishi Research Institute, Inc. Policy and Economic Center Chief Researcher Jiro Furuki [Key Lecture Content] There is a demand for a transition from the traditional economy of "making, using, and discarding" in large quantities (linear economy) to a "circular economy" that reuses resources as much as possible without consuming them. While the importance of this shift is becoming understood, many companies hesitate to take actual action due to concerns such as "Will it be costly?" and "Will it negatively impact our current business?" In this lecture, we will introduce the significance and effects of the circular economy, trends in domestic and international policies, and the initiatives that companies are currently required to undertake, along with ideas for policies and support that can facilitate these efforts. [Lecture Items] 1. Significance and effects of transitioning to a circular economy 2. Domestic and international trends related to the transition to a circular economy 3. Two key points for achieving an autonomous circular economy 4. Close Flow: Recommendations for expanding the use of recycled materials 5. Slow: Recommendations for transitioning to a business model for CE commerce 6. Summary 7. Q&A / Business card exchange

[Speaker] Kazuki Miyamoto, Representative/Analyst of VentureClef, USA [Key Lecture Content] The competition for the development of "AGI agents" and "AGI humanoid robots" is intensifying. AGI agents are models with human-level skills that autonomously perform tasks on behalf of employees. AGI agents are based on next-generation foundation models, with enhanced reasoning capabilities and significantly evolved skills in using tools. The killer application of AGI is the AGI agent, which demonstrates human-level job capabilities in digital spaces. The foundation model has merged with the "world model" to create "physical AI." Physical AI will be a breakthrough in robot development. There is intense technological innovation in AGI humanoid robots, which acquire the ability to perform human labor in physical spaces. The competition for the development of AGI humanoid robots is intensifying in the United States and China, creating a massive market. The Trump administration supports the development of AGI humanoid robots and is implementing "reshoring" policies to bring manufacturing back to the United States.

Are you ready to escape the hell of manual data entry from FAX and phone orders? 'Processing 20 orders a day takes over 2 hours' 'Excel data entry work accounts for 40% of daily operations' To all manufacturing companies struggling with such inefficient order processing. In this seminar, we will introduce specific methods for optimizing order operations in three stages, based on case studies of companies that have achieved annual cost reductions of 7.2 million yen and improved error rates by 78%. You will learn practical know-how to eliminate the 'manual entry hell' through gradual digitization, from automatic data conversion of FAX using OCR technology to building a web order system. This seminar will also offer individual consultations tailored to your company's challenges. In this seminar, we will introduce the following solutions: - EC-Connect+ - ASTERIA Warp

**Seminar Overview** "Generative AI" is gaining attention as a method for improving business efficiency and utilizing internal digital transformation (DX). However, its effectiveness can be influenced by the literacy of the employees using it, which may, in turn, increase the burden of work. In this seminar, we will discuss the current challenges of generative AI while providing examples of how it can be used to enhance business efficiency. We will also explain how to utilize generative AI in a way that achieves efficiency without being affected by the user's skills. We hope this will serve as a reference for considering the use of generative AI.