[Web Seminar on September 27 (Tuesday)] - Analyzing Human Work and Implementation Effects through AI: What is Required in Today's Manufacturing Sites

Addressing diverse on-site challenges and data analysis needs! Anomaly detection solution Impulse.

Reasons to Choose Impulse 01 Responds to diverse challenges and data analysis needs on-site 02 Full support from data analysis to model operation 03 Easily create and operate machine learning models with auto-modeling features 04 Over 21,000 models operated for more than 100 companies

• Database
• Business Intelligence and Data Analysis
• Other information systems

Value creation through new combinations! - Introduction to Ito Shokai's solution business -

We would like to introduce the solution business of Ito Shokai. Before proposing solutions, we start by clarifying the issues at hand. We offer a wealth of solutions ranging from actuators to the MES domain, tailored to the challenges of our customers, combining ideas from both products and people. Our ITO members, who come from diverse backgrounds and nationalities, support the resolution of customer challenges and the creation of new value. **Features of Ito Shokai's Solution Business** - Emphasis on clarifying issues - Abundant solutions from actuators to the MES domain - Implementation starts with PoC and small-scale projects - Members with diverse backgrounds *For more details, please refer to the PDF document or feel free to contact us.*

• Other machine elements
• Other industrial robots
• Production Management System

Our company will be exhibiting at the "Japan Best Knit Selection 2026" held at the Tokyo Metropolitan Industrial Trade Center, Hamamatsucho Hall. At this exhibition, we will introduce various digital data that can be searched, viewed, and purchased to assist in the planning, production, and sales of fashion items, centered around our design software <APEXFiz Design>. We will also present our comprehensive web service <yarnbank>, which allows users to search, view, and download yarn information from around the world, as well as our digital content web service <SHIMA Datamall>. Additionally, we will showcase new services we are launching, including a <data creation outsourcing service> that supports everything from planning to product commercialization, and an <aftercare service> that maintains the condition of knitting machines. Exhibition Contents: APEXFiz Design (Design Software) SHIMA Datamall (Digital Content Web Service) yarnbank (Comprehensive Yarn Information Web Service) SHIMANAVI (e-Learning System) Whole Garment and other knit samples <Contact Information> Tokyo Branch, Minami TEL: 03-3246-0511

[Lecture Topics] 1. Current Status of Food Tech Policy Promotion and Future Developments of Plant Factories Ryo Miyamoto, Head of Food Tech Strategy Promotion Group, Ministry of Agriculture, Forestry and Fisheries 1. Formulation of the "Japan Growth Strategy" and Future Outlook 2. Background and Responses to Food Tech Discussions at the Ministry of Agriculture, Forestry and Fisheries 3. Budget Requests for Food Tech for Fiscal Year 2027 4. Current Status and Challenges of Plant Factories, and Direction of Responses 5. Q&A / Business Card Exchange 2. Situation Surrounding Aquaculture and Future Developments Towards the Growth of Land-Based Aquaculture Shingo Fujita, Director of Cultured Aquaculture Division, Fisheries Agency 1. Supply and Demand Trends of Seafood in Japan and Worldwide 2. Production Trends in Japan's Aquaculture Industry 3. "Comprehensive Strategy for the Growth of the Aquaculture Industry" 4. Current Status of Land-Based Aquaculture in Our Country 5. Direction of Land-Based Aquaculture (Japan Growth Strategy) 6. Q&A / Business Card Exchange

[Speaker] Keigo Shibagaki, Director CAIO, Japan Cable Lab, General Incorporated Association [Key Lecture Content] With the rapid evolution of AI, industrial structures, business domains, values, and lifestyles are undergoing significant changes. Some businesses and industries may disappear in an instant. What will not disappear, no matter how much AI evolves, is the homes where people live. Regional businesses, like cable services, which are close to these enduring end users, will be reevaluated in an AI-centric society. How businesses incorporate AI and connect it to growth is crucial. A misstep could lead to being overwhelmed by the wave of AI evolution, resulting in wasted efforts and unnecessary investments. In this lecture, we will discuss how businesses can engage with AI to protect and grow their operations, touching on the direction of technological evolution related to AI, the content of Japan Cable Lab's "Cable AI," and also the AI development engineering at Japan Cable Lab.

[Speaker] Shinya Okimoto, Founder & CEO of Oki Studio LLC [Lecture Topics] Part 1: What is an AI Factory? - A New Industrial Infrastructure for the AI Era Part 2: Who Does the AI Factory Help Grow? - The Structure of Competitive Advantage in Growing Companies Part 3: Where Will the Next Growth Opportunities Arise? - New Business Areas Created by AI Investment Part 4: Where Should Japanese Companies Compete? - Growth Strategies Toward 2030 [Q&A]

To comply with regulations, traceability, and data integrity, the adoption of LIMS and ELN is progressing, along with the networking of analytical instruments such as chromatography and mass spectrometry. However, while automated data collection and centralized management are advancing, new barriers associated with connectivity are also becoming apparent. Data silos due to inconsistent standards among equipment manufacturers, the difficulty of system integration caused by vendor lock-in, as well as cybersecurity risks and significant variations in the IT literacy of researchers and technicians conducting experiments on-site, are major bottlenecks. In this online seminar, we will introduce our next-generation premium electronic balance, the new product "Cubis III," which is gaining attention as one of the solutions to these challenges. We hope you will join us! Date and Time: December 8, 2026 (Tuesday) 13:30 - 14:30 Format: Online (Teams) Registration Deadline: December 4, 2026 (Friday) by 17:00 Participation Fee: Free Please register here: https://sar.to/onlineseminar-1208