JapanTech

AI x Finance #03: Markets, Models & Institutions

Three talks on AI in finance: complex-systems investing, reliable market forecasting, and enterprise AI adoption at banks.

When
Fri, October 23, 2026 · 18:00–21:00 JST
Where
Chuo City, Japan · In person
Region
Kanto (Tokyo)
Organizer
Tokyo AI
Language
EN
Source
Luma
Summary
An evening of three talks on AI in finance and economics, held in Chuo City, Tokyo. Matei P. Mihalca (Sakana AI advisor, Centro Ricerche Enrico Fermi) opens with a historical view of AI applied to finance and argues that complex-systems thinking should guide how AI is used in investment. Albi Isufaj (SOKENDAI / NII) then presents a two-stage forecasting architecture in which a time-series foundation model makes directional predictions and a learned reliability layer decides which ones are worth acting on. Amin Debabeche (UBS Tokyo) closes with a survey of generative and agentic AI running in production at financial institutions, covering governance, latency and regulatory constraints. Doors open at 18:00, talks run from 18:30 to 20:00, followed by an hour of networking.
About the community

A large international AI community based in Tokyo, bringing together engineers, researchers, investors, product managers and corporate innovation leaders. It runs a steady program of English-language talks and meetups throughout the year, connecting people building AI in Japan with the global ecosystem.

#ai#finance#fintech#time-series-forecasting#enterprise-ai#complexity-economics#ai-finance#time-series#forecasting#machine-learning