[Technical Seminar] Building a Data Infrastructure to Optimize AI and Traditional Research and Development
Explaining the practical implementation methods of AI linked to experiments.
This seminar will explain the current state of data sharing and utilization in R&D departments, as well as the causes and issues arising from the accumulation of person-dependent data. It will cover methods for achieving data sharing, data accumulation and operation with a focus on data exploration and analysis, ways to incorporate AI and machine learning into actual experimental research, and the challenges and countermeasures for maintaining and expanding the integration and operation of databases and machine learning, using concrete examples. *For more details, please check the related links or the seminar details in the catalog.*
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<Event Information> Format: Live Streaming (Zoom) / Archive Streaming Date and Time: 【LIVE Streaming】October 7, 2026 (Wednesday) 10:30 AM - 4:30 PM 【Archive Streaming】Not specified Tuition Fee: 49,500 yen (tax included) Instructor: Toyo Ueshima
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<Seminar Program (Tentative)> Chapter 1: Introduction Chapter 2: The Current State of Data Sharing in the R&D Department Chapter 3: How to Achieve Data Sharing and What Can Be Expected? Chapter 4: Methods for Data Accumulation and Operation with a Focus on Data Exploration and Analysis Chapter 5: How Should AI and Machine Learning Be Incorporated into Actual Experimental Research? Chapter 6: Challenges and Countermeasures When Maintaining and Expanding the Integration and Operation of Databases and Machine Learning Chapter 7: Conclusion
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We support Japan's "monozukuri" (manufacturing) with reliable services ranging from patent research and other intellectual property business solutions to technical translation services and intellectual property/engineer education. We offer high-quality services backed by over 40 years of experience at reasonable prices.
