- Publication year : 2026
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We are pleased to announce a real seminar that brings you the forefront of AI utilization in the manufacturing industry. In this seminar, we will provide a detailed explanation of practical use cases for "Process Informatics (PI)" that realizes the optimization of manufacturing processes and "data analysis infrastructure using generative AI" that innovates R&D planning. ■ Recommended for: - Heads and personnel in the R&D and research development departments of the manufacturing industry - Those focusing on optimizing production technology and manufacturing processes, and solving on-site challenges - Individuals who want to know how to leverage generative AI and data analysis for advanced practical applications (such as paper analysis) ■ Benefits of this seminar: - Understand specific methods to dramatically enhance and optimize the investigation of vast patents and papers using "generative AI" - Learn real case studies that have overcome challenges in development and mass production using Process Informatics (PI) ■ Program: - Yusaku Asano, Linkers Inc. "Data Infrastructure that Unleashes the Investigative Power of Generative AI - The Capability of 'Comprehensive Analysis' of Papers and Patents" - Masaki Takaishi, CEO of iCrystal Inc. "Solving Current Challenges in Manufacturing Development and Mass Production Processes through the Utilization of Process Informatics" - Networking session
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We would like to invite you to a real seminar that reexamines the concept of manufacturing conditions from the perspective of "how to create." In this seminar, we will focus on "casting" and "CAE," and introduce examples of visualizing and predicting manufacturing conditions using data. ■ Recommended for: - Those struggling with data utilization in manufacturing sites or dealing with variability in defective products. - Those who want to make simulation and design work more efficient. - Those who want to learn about specific examples of utilizing AI and machine learning in manufacturing. ■ Program: 1. Opening: Introduction of recent project examples 2. Casting Process: Analytical approaches to capturing "variability" 3. Surrogate Models: Introduction of CAE × machine learning examples 4. Free Discussion: Q&A and consultation on data utilization issues
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We will be exhibiting at "TECHNO FRONTIER 2026," which will be held at Tokyo Big Sight from July 15 to July 17. Additionally, our representative, Takaishi, will be giving a 50-minute seminar. The program will provide a thorough understanding of the possibilities and applications of process informatics, based on case studies. We look forward to your visit and to welcoming you to our booth. <Seminar Information> "Exploring Optimal Manufacturing Conditions through Process Informatics" Date and Time: July 15, 2026 (Wednesday) 13:20-14:10 Speaker: Representative Director Takaishi For more details about our exhibition, please check the link below.
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We will be exhibiting at the "Automotive Technology Exhibition 2026 NAGOYA" held at Aichi Sky Expo from June 17 to 19. We provide information technology and process informatics (PI) that optimize "how to create" using physical simulations, AI, and machine learning in process development. We look forward to your visit to our booth. 【Seminar Information】 "What Process Informatics Will Change in Manufacturing: Optimization of Manufacturing Conditions Using CAE and AI (Tentative)" Date and Time: June 19, 2026 (Friday) 15:20 - 15:40 Please check the link below for details on the exhibition.
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We will be exhibiting at "SmartSensing2026" held at Tokyo Big Sight from June 10 to 12. We provide information technology and process informatics (PI) that optimize "how to create" using physical simulation, AI, and machine learning in process development. We look forward to your visit to our booth. (Business meetings can be reserved) 【Seminar Information】 1. "Process Informatics for Exploring Optimal Manufacturing Conditions" Speaker: CEO Takaishi 2. "Production Technology DX to Overwhelmingly Accelerate Process Informatics" Speaker: Application Division Manager Hattori
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