[Seminar] Data Monetization 2.0 in the Era of Generative AI

Eplan, the comprehensive electrical design CAD used by customers worldwide. We will hold a real event called "EPLAN Operation Experience Session," where you can actually experience operating EPLAN. In the morning session, we will explain the overview of EPLAN, and in the afternoon session, you will have the opportunity to operate the actual equipment and gain hands-on experience. You can participate in just one of the seminars, or you can join both and experience EPLAN in one day. You can experience the operation and features of EPLAN P8 and Pro Panel at three locations: the EPLAN Shin-Yokohama office, the Osaka office, and the Osaka office. Participation is free! Please come and check out the feel of operating Eplan.

[Speaker] Hidetoshi Amano, Senior Manager, New Business Strategy Team, Fortience Consulting Co., Ltd. [Key Lecture Content] "Data Monetization," which transforms accumulated data within companies into revenue and profit. In recent years, the evolution of generative AI has significantly changed the methods of achieving this. While the potential for extracting meaning from non-structured data such as documents, images, and drawings, which were previously difficult to utilize, is expanding while reducing the burden of data organization, AI is now taking on roles in analysis, proposal, and even action. In this lecture, we will organize the basic patterns and success principles of data monetization, discuss what changes generative AI brings, and explain how companies should build a system to "earn with data," incorporating the latest case studies and practical knowledge.

[Speaker] Yusuke Hironaka, Second Department, Mobility and Energy Device Division, Fuji Keizai Co., Ltd. [Key Lecture Content] As the market for lithium-ion batteries (LiB) continues to expand, developments are being made to improve LiB performance, including enhancements in safety, energy density, and operating temperature range. Among these, all-solid-state batteries, which replace the liquid electrolyte of LiB with solid electrolytes, are expected to achieve performance improvements while reducing the risk of fire associated with LiB, leading to future practical applications and market expansion. However, there are many challenges to the practical application and market expansion of all-solid-state batteries, and one of the technologies being developed to address these challenges in the short term is semi-solid batteries. In this lecture, against the backdrop of the aforementioned market trends, I will explain the current status of semi-solid batteries, their performance and application suitability compared to liquid-state LiB and all-solid-state batteries, as well as future prospects.

[Speaker] Hideo Tagami, Director of Telecom Sales, NVIDIA Corporation, Strategic Account Division [Key Lecture Content] The rapid development of generative AI has made it urgent to establish AI data centers for Agentic AI and Physical AI, as well as high-speed, wide-bandwidth communication networks. Attention is increasing towards the distributed AI infrastructure concept "AI GRID." In this lecture, we will explain the approach for telecom operators to realize AI GRID by utilizing base stations and communication facilities along with next-generation networks, transforming into sovereign AI platform providers. We will also consider the challenges and solutions related to AI implementation and data governance faced by user companies utilizing these technologies. [Lecture Items] 1. Background of the emergence of AI GRID 2. Approach to AI GRID by telecom operators 3. NVIDIA's full-stack solution supporting AI GRID 4. Benefits of AI GRID for user companies 5. Approaches from both providers and users 6. Q&A / Business card exchange

In the automotive industry, the importance of quality and process improvement in system and software development is increasingly recognized, and it is becoming standard practice to ensure that even partial controller controls comply with Automotive SPICE as software. In this webinar, we will explain the basics of Automotive SPICE for those who are considering or interested in compliance with Automotive SPICE in the future. [Program] - The background of why Automotive SPICE has become necessary - The main elements of the structure of Automotive SPICE: process dimension and capability dimension - How to read the Automotive SPICE model - Preparations to be made when undergoing an Automotive SPICE assessment We will provide explanations in as simple terms as possible. We look forward to your participation!