Business Partner Seminar / "Statistical Optimization and General Informatics to Improve Development Quality and Efficiency" - Nonlinear Experimental Design Methods and Experimental Design Methods Using Artificial Intelligence That Can Be Built with Excel.

Quickly create a multi-layer neural network model from Excel data without programming.

NeuralWorks Predict provides data analysis capabilities based on neural network analysis. It learns complex patterns from accumulated data to build more accurate predictions and pattern recognition models than traditional statistical analysis methods, as well as clustering functions based on data visualization, all without the need for programming. [Customer Feedback] - I am very grateful that I can easily try multivariate analysis in a way that has not been possible until now. - NeuralWorks is extremely helpful when linearity is visible but interactions are considered. The calculations are fast, and since there is no need for programming, it is easy to start preliminary investigations, which I appreciate. - Unlike other AI platforms, I appreciate that the created models are output as function code and can be used independently of the platform. I was surprised that I could build artificial intelligence in about 5 seconds without programming. - We were able to achieve prototype reduction and compression of experimental counts for electronic components and home appliances, leading to cost savings of several hundred million yen annually.

• Other analyses
• Analysis Services
• Technical Seminar

In this seminar, we will briefly explain various methods and technologies for creating plastic molds using metal 3D printers, key points and considerations in manufacturing, and examples of fabrication. Following that, we will hear from leading users utilizing metal 3D printers from EOS, 3D Systems, Sodick, and Matsuura Machinery on advanced mold manufacturing technologies and examples, as well as factors for failure and secrets to success. First, we will discuss case studies that have achieved low-cost, high-quality manufacturing techniques and shortened lead times through complex shapes and integrated structures, hybrid manufacturing, and 3D cooling water pipe fabrication using EOS metal 3D printers at J-3D. Next, we will explain how ODEC has achieved overwhelming reductions in delivery times and cost savings in mold updates by manufacturing complex molds for resin molding with metal 3D printers, along with the latest fabrication examples and technologies for designing internal structures (3D water pipes), flow, and temperature simulations. Finally, we will provide specific explanations of how Sanko Gosei, a top player in the industry with its metal 3D printing capabilities for plastic mold manufacturing, has drastically reduced mold cooling times through 3D cooling water pipe fabrication, and how porous structures have effectively mitigated issues such as short shots and gas burn, as well as examples of reduced injection times.

In recent years, the costs of DX (digital transformation) have significantly decreased, and various examples of improving operational efficiency and automation in small and medium-sized manufacturing industries have emerged. One of the key points where DX has not yet progressed, but can achieve high efficiency at low cost, is the DX of the entire process from information collection and management on-site to application. In this seminar, we will introduce practical methods for promoting DX using two tools that can be actually utilized in the field of small and medium-sized manufacturing: the workflow system "AppRemo" that streamlines application approval processes, and the no-code tool "Platio" that allows for the creation of mobile apps to manage on-site operations. There is no need for complex system development or high investments. We will discuss specific plans for gradually advancing automation in an environment that can be easily operated by everyone on-site, along with case studies.

We will be exhibiting at FOOD Exhibition 2025, which will be held at Tokyo Big Sight from October 15 to 17, 2025. *The exhibition will take place within the booth of our partner company, Anritsu Corporation. We plan to showcase the taste recognition device TS-6000A on that day. Details are as follows: ◆ Event Details ・Date: October 15 (Wednesday) to 17 (Friday), 2025, 10:00 AM to 5:00 PM ・Venue: Tokyo Big Sight, East Hall ・Booth Number: To be determined (exhibiting at Anritsu Corporation's booth) ・Exhibition Content: Display and demonstration of the TS-6000A ・Official Website: https://www.food-exhibition.info/

This is a seminar hosted by our company that takes place every October. This year, three speakers will give presentations on the use of taste sensors and measurement examples. It has been decided to hold it on October 3rd. This year, it will also be held online (Zoom webinar). As soon as the details are finalized (around mid-September), we will announce the overview and open registration on our company website.

In the manufacturing and infrastructure industries, many on-site tasks such as maintenance, inspection, and testing still rely heavily on paper forms and manual data entry, with many sites not progressing in the digitalization and centralization of information. As a result, challenges such as "inability to grasp the on-site situation in real-time," "data being dispersed and not usable for analysis," and "input errors and omissions in forms" have become apparent. This webinar will introduce how to achieve digital transformation (DX) of on-site operations by rapidly building smartphone business applications using Asteria's no-code tool "Platio," and combining it with Morpho AI Solutions' AI-OCR, image analysis, and LLM technologies for the digitalization and automatic analysis of inspection sheets, photos, and reports. It is tailored for representatives of manufacturing and infrastructure-related companies who want to fundamentally change their on-site operations, escape from an analog culture, but find large-scale system implementation challenging.