For researchers and technology developers in the manufacturing industry! No-code introductory seminar on "Statistical Analysis Software JMP: Basics of Experimental Design."

Transforming “time spent on data analysis” into “time that creates value”

JMP is a statistical analysis software used by researchers and engineers around the world. It is designed to efficiently connect data and insights obtained in the field to results that support decision‑making. One of its key features is the ability to perform a wide range of statistical analyses—such as advanced Design of Experiments (DOE), quality control, and multivariate analysis—using only mouse operations. Data managed in Excel and other tools can also be smoothly reshaped into analysis‑ready formats, enabling fast analysis without requiring complex programming. In JMP, graphs, statistical results, and data are displayed interactively and in sync, allowing users to deepen their understanding through exploration and iteration. Hypotheses and insights held by experienced engineers can be statistically validated, visualized, and organized in a form that is easy to share within teams. These visualizations support aligned discussions among stakeholders as well as evidence‑based reporting and explanation. Leveraging JMP not only reduces the burden of analysis and data preparation but also contributes to process improvement and faster development cycles. By connecting the expertise of seasoned engineers with statistical analysis, JMP aims to bring greater confidence to decisions made on the front lines.

• Production Management System
• Process Control System
• Business Intelligence and Data Analysis

Evaluating drug efficacy, safety, pharmacokinetics, and physical properties comprehensively from the early stages of the drug discovery process is essential for efficient pharmaceutical development. To support these evaluations comprehensively, the drug discovery support software StarDrop offers various modules. In this presentation, we will introduce an overview of the functions included in the metabolism prediction module, the Metabolism module, its theoretical background, and how it contributes to solving various challenges related to drug metabolism.

[Speaker] Mr. Hiroshi Fujimoto, Director of the DX Project Promotion Office, Tokyo Electric Power Company Holdings, Inc. [Key Lecture Content] As expectations for DX initiatives and AI utilization rise, particularly in the energy sector, the Tokyo Electric Power Group is promoting DX in conjunction with its management strategy, based on the Fifth Comprehensive Special Business Plan. In this lecture, we will introduce the overall concept of the group's DX strategy, initiatives for AI utilization, development of DX human resources, data utilization, and specific case studies. [Lecture Items] 1. Overview of DX utilization in the Tokyo Electric Power Group 2. Initiatives utilizing AI and data 3. Specific examples of re-evaluating business processes 4. Systems and innovations to advance initiatives 5. Development of personnel responsible for the DX field 6. Future direction 7. Q&A / Business card exchange (The lecture items may change based on the latest situation.)

[Speaker] Yukiko Konno, Counsel Attorney, Nagashima, Ohno & Tsunematsu Law Firm Yuki Matsuumi, Associate Attorney [Presentation Items] 1. Introduction (1) Overview of AI Implementation in Manufacturing and New Legal Risks (2) Latest Trends in AI and Cybersecurity Risks (Paradigm Shift in Threats Due to the Emergence of Myths, etc.) (3) Progress of AI and Cybersecurity Regulations in Various Countries 2. Manufacturing and AI (Incorporating AI into Products and Legal Liability, Focusing on Physical AI) (1) Trends in the EU (2) Trends in Japan (3) AI Contract Practices for the Manufacturing Industry 3. Manufacturing and Cybersecurity – Defense Practices for BtoB/BtoC Products – (1) Trends in the EU (2) Trends in Japan 4. Q&A / Business Card Exchange

[Speaker] Kenji Kikuchi, Executive Fellow, MDB Business Division, Japan Management Association Research Institute [Lecture Items] 1. Important latest research trends to consider for the future 2. Latest business information gathering methods for future insights 3. How to cultivate perspectives for looking toward the future, especially in times of turmoil 4. Must-see! Key points on noteworthy businesses that you should know 5. Introduction to the latest business information sources to pay attention to in the AI era for "future insights" 6. Q&A / Business card exchange

[Speaker] Mr. Yasunari Sugiyama, Partner Lawyer, Nishimura & Asahi Law Office, Foreign Law Joint Enterprise [Key Lecture Content] The Ministry of Agriculture, Forestry and Fisheries held a "Study Group on Desirable Agricultural Solar Power Generation" after May 2025 and announced a new regulatory proposal in April 2026, which includes a fundamental revision of the agricultural solar power generation system. This revision aims to (1) strengthen monitoring of both new and existing power generation projects, and (2) change the primary legal basis for new power generation projects to the Renewable Energy Act for Rural Areas, which is expected to have a significant impact on both the continuation of existing projects and the initiation of new ones. The purpose of this seminar is to examine and discuss what kind of initiatives from both the public and private sectors are necessary to ensure the proper development of agricultural solar power generation projects, in addition to the preparatory actions needed before the regulatory revision (it is also intended to facilitate ongoing exchanges of opinions and information after the seminar).