November 17 (Tuesday) to November 18 (Wednesday), 2026" Notice of participation in "Back Office DXPO Autumn 2026 Tokyo

Are you struggling with questions like, 'I want to participate in a job fair, but I don't know which event to choose' or 'I don't understand the differences between Mynavi, doda, Women's Job Type, Type, and Re-Syukatsu'? In this webinar, we will thoroughly compare five job fairs, explaining their characteristics, target audiences, and the types of companies that are suitable for hiring. This webinar will introduce how to choose a fair that aligns with the talent you want to hire and key points to connect with recruitment. Additionally, we will explain recruitment methods that combine job media and scouting. This webinar will also present a way of selecting media tailored to your challenges, made possible by b-search, which handles over 100 types of job media and recruitment services. This webinar is recommended for those who want to know about job fairs that match their target audience and for those looking to reassess their recruitment methods.

■ Back Office DXPO Tokyo 2026 Autumn Exhibition Participation Information Date: November 17 (Tuesday) - November 18 (Wednesday), 2026 Time: November 17 (Tuesday) 09:30 - 17:30 / November 18 (Wednesday) 09:30 - 16:30 Venue: Ariake GYM-EX *New exhibition hall located 2 stations from Tokyo Big Sight Station, approximately a 5-minute walk from Ariake Tennis Forest Station Access: 1-10-1 Ariake, Koto-ku, Tokyo (5-minute walk from "Ariake Tennis Forest Station" on the Yurikamome Line / 17-minute walk from "Kokusai Tenjijo Station" on the Rinkai Line) Booth Number: "Recruitment and Training Solutions Exhibition" For more details, please check the QR code or URL here. *This will redirect you to an external link. Advance reservations are recommended! If you would like to "carefully listen to discussions" or "efficiently receive information at the venue on the day," please check the exhibition details and use the visit reservation on the official Back Office DXPO website! *On the day, you can consult with the staff smoothly without waiting! Additionally, if you register in advance for your visit this time, the usual entrance fee of 5,000 yen will be waived! We highly recommend it when you come★

DX Comprehensive EXPO 2026 Spring Tokyo Exhibition Information Date: November 4 (Wednesday) - November 6 (Friday), 2026 Time: 10:00 AM - 5:00 PM each day / Reception starts at 9:00 AM Venue: Makuhari Messe (Halls 1-3) Access: 2-1 Nakase, Mihama Ward, Chiba City, Chiba Prefecture (5-minute walk from JR Keiyo Line, Kaihin Makuhari Station) ★ Advance reservations are recommended For those who want to "listen carefully" or "spend the day efficiently," please check the exhibition details and make a visit reservation on the official website! By making a reservation, you can consult with the person in charge smoothly without waiting on the day of the event. •｡.*･•✦ Amazon Gift Card Giveaway ✦•･*.｡• This time, those who reserve our booth will receive a 【1,500 yen Amazon Gift Card】 as a gift! *The gift will be provided to the registered email address after your visit to the exhibition and after the appointment is conducted. https://expo.bizcrew.jp/event/16157/module/booth/432836/477424 Promotion Code: 【y9sbf3zwm】

This session is aimed at engineers primarily in the manufacturing industry, focusing on data utilization, and will explain practical approaches to factor exploration and predictive model building using JMP products. Analysis does not yield optimal results in a single attempt; it is crucial to enhance accuracy through repeated trial and error in data preparation and model building. In particular, the quality of data preparation, such as preprocessing and feature creation, significantly influences the results, and JMP allows for efficient progress while visualizing the process. Using publicly available data for model building, we will introduce a series of processes from preparation, including visualization, preprocessing, and feature creation, to factor exploration through correlation and regression analysis, predictive model building (such as neural networks and random forests), and extraction of important factors, all through trial and error. Program: 1) What to do before the model: Key points of data preparation and trial and error using JMP 2) How to proceed with factor exploration and predictive model building without making it a black box ▼Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/12-15-factor-exploration

For those considering building a home, the means of researching their concerns and questions is beginning to expand from search engines to AI. Therefore, we will hold a seminar on how to become a housing company that is "searched for" and "chosen" in the era of AI search. We will discuss how to accumulate "chosen information" that answers customers' concerns, rather than "promotional information." We will share our thoughts on this approach and how to proceed.