伊東商会 Company Profile

~~The "Key" to Promoting DX in the Manufacturing Industry is Organization, People, and Systems~~ ❑Lecture Content 15:00–15:05 Introduction 15:05–15:35 Required Digital Business Operations Capabilities in Manufacturing (Spending Research Manager Yasushi Shikida, IDC Japan) 15:35–16:05 What is Necessary to Realistically Promote DX in Manufacturing (Takayuki Kikuchi, Chief of Technology Development Division, Toyo Seikan Group Holdings) 16:05–16:15 What is Impulse to Advance AI and IoT Projects to the Next Stage (Toshiaki Enami, Chief Operating Officer, Brains Technology) ❑Organizer Brains Technology Inc. ❑About the Online Seminar - After registration, we will provide you with a URL to participate in the online seminar. - You can participate from your company or personal desk while keeping your face and name hidden. ❑Important Notes - Participation from IT vendors, system development companies, competitors in the same industry, and individuals is not allowed.

~~The "Key" to Promoting DX in the Manufacturing Industry is Organization, People, and Systems~~ ❑ Lecture Content 15:00–15:05 Introduction 15:05–15:35 Digital Business Operation Capabilities Required in the Manufacturing Industry (Spending Research Manager Yasushi Shikida, IDC Japan) 15:35–16:05 What is Necessary to Realistically Promote DX in the Manufacturing Industry (Takayuki Kikuchi, Chief of Technology Development Division, Toyo Seikan Group Holdings) 16:05–16:15 What is the Impulse to Advance AI and IoT Projects to the Next Stage (Toshiaki Enami, Chief Operating Officer, Brains Technology Inc.) ❑ Organizer Brains Technology Inc. ❑ About the Online Seminar - After registration, we will provide you with a URL to participate in the online seminar. - You can participate from your company or personal desk while keeping your face and name hidden. ❑ Important Notes - Participation from IT vendors, system development companies, competitors in the same industry, and individuals is not allowed.

In the manufacturing field, where continuous improvement in productivity and quality assurance is required, efforts utilizing AI are accelerating to quickly detect equipment malfunctions or failures and to prevent issues such as the occurrence of defective products. Various sensors and devices can be installed on production equipment, allowing for the collection of time-series data on measurement values and control parameters. The anomaly detection solution Impulse's "Anomaly Detection App" uses such time-series data to detect unknown anomalies by leveraging AI technology, rather than relying on traditional threshold-based systems. The "Cause Analysis App" can analyze the factors leading to the occurrence of anomalies. In this webinar, after introducing examples of time-series data analysis using AI technology, we will pick two specific cases from those examples and explain the creation and analysis methods of the anomaly detection model using actual screens and data, along with demonstrations. - Detection of early signs of plant equipment failure - Analysis of defect factors in the injection molding process of automotive parts manufacturing