【Exhibition Information】Japan Automatic Machine Co., Ltd. (J.A.M.) will exhibit at the "6th Press, Sheet Metal, and Forming Exhibition MF-TOKYO 2019."

The challenges of inefficiency and dependency on specific individuals in the document management tasks faced by many companies. Are manual errors and business stagnation becoming barriers to productivity improvement? In this seminar, we will introduce advanced approaches to visualizing management decisions using AI and automating and streamlining document management tasks, centered around SCSK Corporation's AI-native next-generation ERP "PROACTIVE," Asteria Corporation's no-code data integration tool "ASTERIA Warp," and Kokuyo Corporation's electronic document distribution system "@Tovas." We will also explain business flows that achieve depersonalization while presenting examples of automated business flows realized through solution integration.

Method for determining inspection standards, standard values, and safety factors based on economic risks Practical introduction to a method of consideration that prevents profit loss and does not rely on statistical distribution (loss function) 【Half-Day Intensive Seminar】 －－－－－－－－－－－－－－－－－－－－－－－－－－－－－ https://johokiko.co.jp/seminar_chemical/AD251101.php ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounted participation fees. If you would like to apply for each seminar with a discount, please contact ikuma.fukui@wmjplab.com. * The discount on participation fees is available to anyone. * However, we do not accept participation from technical consultants or instructors. * If you wish to have the same seminar as an in-house training, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Robust Optimization Development Method to Solve the Four Major Challenges in Technology and Product Development: A Practical Introduction Learn through Comparison with Conventional Development Methods and Experimental Design Methods [Quality Engineering Parameter Design] [Software and Discussion Templates Available for Interested Parties] －－－－－－－－－－－－－－－－－－－－－－－－－－－－－ https://johokiko.co.jp/seminar_chemical/AD251102.php ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ We will inform you about upcoming technical seminars with discounts on participation fees. If you would like to apply for any seminar with a discount on the participation fee, please contact ikuma.fukui@wmjplab.com. * The discount on participation fees is available to anyone. * However, we do not accept applications from technical consultants or instructors. * If you wish to have an in-house training session for the same seminar, please contact me directly. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

This is a seminar co-hosted by NTT Data Business Brains and HeartCore. As HeartCore stands at the forefront of CMS and AI, we will discuss the future of content management and the perspectives required by companies. We will also share how to maximize operational efficiency and results through the implementation of CMS tailored to specific challenges. = For details and registration, click here = August 28, 2025 (Thursday) 12:00 PM - 12:35 PM Participation is free https://www.nttd-bb.com/event/smn20250828.html?utm_source=ipros&utm_medium=other&utm_campaign=20250812_sales 12:00 PM - 12:20 PM "How will CMS evolve in the era of 'AI changing the web'?" HeartCore Inc. 12:20 PM - 12:35 PM "Shall we maximize operational efficiency and results through CMS implementation tailored to challenges?" NTT Data Business Brains Inc.

The use of AI in the manufacturing industry has continued to evolve since the national projects of the 1980s, and now automation and efficiency improvements are advancing across a wide range of areas, from inspection tasks to parts design. However, in actual workplaces, there are many companies that find themselves unable to fully leverage AI and digital transformation (DX) due to past experiences of abandoning implementation due to technical constraints and reliance on paper or Excel for information management. These barriers to implementation are often attributed to a lack of resources such as technology, funding, and personnel, but recent advancements in no-code tools and AI specialized for specific fields have significantly lowered these hurdles. In this seminar, Futsupa Co., Ltd., which has developed and implemented AI solutions in numerous manufacturing sites, and Asteria Co., Ltd., which has supported field-led DX with no-code, will co-host a discussion on examples of efficiency improvements in manufacturing sites.