HACARUS Workplace Safety for KY at Kensetsu Mirai Forum 2023 Winter

HACARUS Workplace Safety For KY At Kensetsu Mirai Forum 2023 Winter

On December 21st, Daisuke Takahashi, group leader of the Product Division’s Occupational Safety Support Group, will present HACARUS Workplace Safety for KY at Kensetsu Future Forum 2023 Winter, to be held at the Matsuzuki Construction Hall in Nagano Prefecture.

At this event, Japan’s top runners in their respective fields will discuss what digital transformation in the construction industry will look like in the future, how the technology will be applied to the field, and how we should work towards its introduction now. During the third session, HACARUS Workplace Safety for KY: A New approach to workplace safety risk prevention powered by AI×DX, our approach for workplace risk prevention (KY) and its potential will be introduced.

Event Details

Registation: https://shinken-eventandseminar.jp/archives/8461
*Deadline: December 19th (Tuesday) 3:00pm

Date & Time: December 21, 2023 (Thursday) 13:00-17:30
Venue: In-person or Online (Venue participation 12:30 Reception starts, Online participation 12:20 Zoom meeting entry begins)
Address:  Matsuzuki Construction Hall 3F (996 Shimadate, Matsumoto City, Nagano Prefecture 390-0852)
Capacity: In-Person, 100 attendees, Online, 300 attendees

Participation Fee
Venue participation: 5,500 yen (tax included)
Online viewing: Free

Continued learning support system:
Venue participation
: CPDS5 Unit/Design CPD3~4 On the day, you will receive a “Certificate of Attendance” at the reception.
Online participation: The secretariat will handle applications for 5 units of CPDS/3 to 4 units of Design CPD.

*Due to regulations, individual applications cannot be made for online seminars.

Those who wish to do CPDS4 units/Design CPD 
*After the seminar, you will receive a “Certificate of Attendance” at the reception desk.
*An agency fee will be charged for those seeking continuous learning certification. Agency fee: 5,500 yen (tax included)
(Format code 101-1 is the same as a regular LIVE seminar, not Internet learning format code 403)

*For those seeking CPDS
In accordance with the online seminar rules, the viewing status must be constantly checked by the secretariat.
Please attend using a PC with web camera. We will take screenshots of your face three times during the event. We will give you a signal, so please be sure to turn on your camera and make sure your face is visible. Please note that if you are absent, you will not be able to apply.

*For those seeking design CPD
・According to the online seminar rules, a 200-character comment such as “Impressions/Notices” will be required in the questionnaire after the seminar, and a “Certificate of Attendance” will be issued after confirmation by the secretariat.

Notice – Regarding agency fees, we cannot refund or change to another seminar after payment has been made. 

Sponsor: Shinken Shimbun


Session 1


Proposal for Formwork Management in Small-Scale ICT Construction Projects

Yohei Oya, General Manager, Civil Engineering Department, Shoji Gumi

Session 2


How Shizuoka Prefecture will utilize the “Digital Twin”

Naoya Sugimoto, Counselor, Digital Strategy Bureau, Shizuoka Prefecture

Session 3


HACARUS Workplace Safety for KY: A New approach to workplace safety risk prevention powered by AI×DX

Daisuke Takahashi, Group Manager, Occupational Safety Support Group, HACARUS

Session 4


ICT/DX Completion of Local Construction Industry

Sho Uchida, Senior Managing Director, Uchida Construction


HACARUS INC, on a mission to bring the next generation of instruments to every industry, has since its founding in 2014, supplied AI solutions across the medical, manufacturing and construction fields in Japan – and beyond. Headquartered in Kyoto, Japan, and backed by Daikin, Osaka Gas and Miyako Capital (Kyoto University), among others, its technology enables humans to make better, faster, and more reliable decisions based on data-driven insights. HACARUS’ proprietary AI engine is built using Sparse Modeling, a method that understands data like a human would – by its unique key features and is far more resource, time, and energy-efficient when compared to Deep Learning. To learn more, visit https://hacarus.com

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