On November 17th, at the IT Tools Exhibition, Experience and Consultation Event, held at the Kyoto Chamber of Commerce and Industry, HACARUS CEO and founder Kenshin Fujiwara will be speaking at the concurrent IT Utilization Seminar.
This event supports the digitalization of productivity improvement and business efficiency for individual entrepreneurs and small and medium-sized enterprises. Various IT tool providers and vendors from all genres necessary for corporate management will gather to exhibit their products and conduct seminars. Visitors can freely explore the venue, see, touch, and consult about IT tools that suit their companies. In the IT Utilization Seminar Kenshin Fujiwara will explain the impact of AI on consumer lifestyles and corporate activities, outlining ways to enhance business opportunities and productivity.
Date: November 17, 2023 (Friday)
Exhibition: 13:00 – 18:00 (Registration: 13:00 – 17:30)
IT Utilization Seminar: 13:00 – 14:00 (Registration: 12:30 – 14:00)
Continuous Mini Seminars: 14:20 – 16:40
Individual Consultation: 13:00 – 18:00 (Advance reservation required) *Specialized consultation on “IT Utilization”
Venue: Kyoto Chamber of Commerce and Industry Meeting Room (Kyoto Economic Center 7F) / Shimogyo-ku, Kyoto City, Shijo Street, Umemachi Higashi-iri [Directly connected to Subway Shijo Station/Hankyu Karasuma Station Exit 26]
For More Details and Registration, Please Visit:
https://www.kyo.or.jp/kyoto/ac/event_119845.html (note : Japanese only)
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