Executive AI Forum in Japan
Where AI, capital, and institutional judgment converge
A closed forum on AI, capital, and long-term industrial governance
Across industries, AI is often discussed as if its strategic direction were already settled—technologies selected, systems deployed, and outcomes assumed. In practice, however, many organizations continue to face gaps between ambition and execution, particularly where AI intersects with legacy infrastructure, organizational processes, and long-term capital planning.
The Executive AI Forum in Japan is convened in response to this reality. It brings together senior leaders who must evaluate AI not as a standalone technology initiative, but as part of a broader system encompassing industrial structure, governance capacity, and long-horizon decision-making.
This forum is neither a training program nor a product showcase, and it differs fundamentally from conventional academic or industry conferences. It is designed as a closed, analytical setting in which participants examine AI from first principles—economic constraints, statistical limits, organizational incentives, and recurring implementation failures that are often underrepresented in public discussions. The objective is not to promote adoption, but to enable more accurate strategic judgment about where AI meaningfully contributes to productivity, resilience, and institutional continuity.
The Japan forum is organized around two complementary components: the Executive Track and a Conference Session. While distinct in format, both address the same core questions at the intersection of AI, capital allocation, and institutional responsibility. Together, they provide a structured environment for senior participants who oversee strategy and execution, and who carry accountability for long-term outcomes rather than short-term technological experimentation.
The Executive Track is held during the final week of September, followed by a single-day Conference Session on the final day of the program.
Executive track
The Executive Track is structured as a guided exposure to real-world AI deployment across industrial and institutional contexts relevant to the Japanese economy. Rather than focusing on technical instruction, the track emphasizes observation, contextual explanation, and strategic interpretation—supporting executives who must integrate AI into complex organizations with established processes, workforce structures, and regulatory considerations.
Similar in spirit to executive inspection programs used in advanced manufacturing and infrastructure policy, the track centers on how AI systems operate in practice. Participants engage through briefings, site-anchored discussions, and applied case perspectives, developing the ability to assess implementation claims, operational risks, and organizational readiness at the level of executive decision-making.
Selected Executive Track participants are invited to closed dinner discussions held alongside the program. These sessions are designed to facilitate candid exchange among senior peers under conditions of discretion, with a focus on shared challenges in governance, coordination, and long-term execution.
Conference Session
The Conference Session is a one-day convening held on the final day of the Executive Track. It brings together forum participants and invited speakers for a focused exchange on structural themes emerging from the week’s discussions.
While more open in format than the Executive Track, the conference maintains the same analytical orientation. Presentations and discussions emphasize system-level perspectives on AI—covering capital investment cycles, institutional adaptation, and policy coordination—rather than short-term trends or vendor-specific solutions. Selected regional experts will be invited for though-provoking idea sharing and event analysis within the region.
Together, the Executive Track and Conference Session form a cohesive forum that supports informed judgment on AI as an element of long-term industrial and institutional strategy.
The Conference Session is open to the public and free of charge for all visitors.
Attendance is subject to venue capacity and advance registration. The Executive Track remains invitation-only and is separate from the Conference Session.
Lecture Note
Carousel
Executive AI Track
at a glance
COUNCIL TRACK
3-5 DAY EVENT
EXECUTIVE TRACK
AI AT CONTROL LEVEL
CONFERENCE SESSION
BUSINESS ORIENTED
Tokyo event
EXECUTIVE TRACK FOR CASE STUDIES, BUSINESS APPLICATIONS, AND INSIGHTS
CONFERENCE SESSION FOR REGIONAL MARKET SPECIFIC UPDATES
MBA in AI & Big Data
- 3-hour Video-recorded classes per week (Required)
- 1-hour support sessions per week (Selective)
- Final exam / term paper 1-week after the end of the course
- Total 12 courses, 2 courses for 1 term
- 1 term for 8 weeks
Class module : Online only
Credit : 90 ECTS / (Level / EQF 7)
Required documents
- Bachelor diploma and transcript (mandatory)
- Graduate school diploma and transcript (if applicable)
- Statement of Purpose
1 Year for 12 courses
1 Term for 8 weeks with 2 courses
Prep classes are available
- LaTeX for assignments and paper writing
- Programming prep for Python
Requirement for graduation
- Coursework: 60 ECTS (12 courses)
- Dissertation: 30 ECTS
- Technical track: 20,000 words or above and technical interpretation of the topic
- Business track: Case study equivalent to tech track's dissertation
- Application fee : CHF 200.- (Non-refundable)
- Administration fee : CHF 2,000.- (Non-refundable)
- Courses : CHF 3,000 per course
– 2 courses per term (Bi-monthly payment)
– 1 course for 5 ECTS*
Graduation requirements
- Coursework – 60 ECTS* wth average 60% or above
- Dissertation – 30 ECTS*
- Tech track: 20,000 words academic essay or equivalent mathematical/programing application
- Biz track: Case study equivalent to tech track's dissertation
- 6 months support course (CHF 6,000)
*ECTS – European Credit Transfer and Accumulation System
Scholarship
- If 70% or above in admission examination
- RA/TA opportunities
- No official admission examination
- Following documents will be thoroughly reviewed
- Statement of Purpose
- Undergraduate transcript
Please note that if you have not done any STEM education during your undergraduate or even in graduate studies, we recommend you to try MBA AI programs' business track. Even if you have applied for tech track, if no record of mathematical training is found, the offer letter will be given to biz track.
For non-native English speakers, should meet one of the following criteria by graduation
- High school or University level diploma from an all-English program
- TOEFL iBT 100/120 or above (with each section at least 21/30)
- IELTS 7 or above (with each section at least 6.5/9)
- Pass grade from SIAI’s internal English course
Internal English course
- Course fee: CHF800
- Course schedule
- July~Aug (8 weeks)
- Live session
- 3 hours per week (usually weekend)
Q&A
Executive AI Forum (Private)
Clarity on AI, before strategy becomes irreversible.
AI is now discussed as if its strategic implications were already understood: budgets allocated, vendors selected, and institutional commitments quietly made. Yet for many organizations, the most consequential decisions around AI are being taken under conditions of incomplete information, misaligned incentives, and public narratives that discourage honest reassessment. Once capital, regulation, or reputation is committed, reversing course becomes costly—sometimes impossible
The Executive AI Forum exists to address this moment. It provides a closed setting in which senior participants can examine AI before decisions harden into doctrine. Discussions are grounded in economic constraints, statistical limits, and institutional realities that rarely appear in public forums. Rather than promoting adoption or resisting it, the forum focuses on understanding where AI genuinely changes outcomes—and where it does not.
For participants responsible for long-term strategy, capital allocation, or policy design, the value of the forum lies in recalibration. It offers a rare opportunity to stress-test assumptions, compare institutional perspectives, and regain strategic clarity before commitments become path-dependent. The result is not consensus, but sharper judgment—aligned with the responsibilities that senior roles actually carry.
Participation in the Executive AI Forum is by invitation only, or through nomination by partner institutions.