Education programs and teaching materials
We design exercises, cases, AI-based materials and learning experiences for corporate training and business education — places where participants work hands-on in the context of their own business and take the way of thinking home with them.
What we are asked to do
AI strategy sessions for companies
Half-day to full-day sessions for executives and business units to rethink their strategy on an AI-first basis — building a working mechanism with AI and discussing what it means for strategy.
Cases and exercises for business schools and training
Case materials and exercises in data-driven management, business analytics and new business creation, developed for the participants and the purpose.
Designing learning experiences with AI built in
How participants use AI within a course, including assignments, assessment and reflection. We also support educators and training staff.
Reviewing existing programs
We review current training and curricula against learning goals for the AI era and propose revisions.
Process and formats
Consultation
We hear your goals, participants, timing and constraints.
Design proposal
We propose learning goals, the flow and the structure of materials.
Development and delivery
We develop the materials and teach the program.
Review
We review participant response and outcomes, and improve.
- Format
- Lecture, workshop, hands-on (can be combined)
- Length
- From a single 90-minute session to half or full days and multi-session courses
- Venue
- In person, online or hybrid
- Language
- Japanese (please ask about English)
Examples
- GLOBIS University Graduate School of ManagementEvery term since 2015 (46 terms): quantitative analysis, business analytics, business data science (now AI and data science)
- Tama Graduate School of BusinessEvery academic year since 2015: Data-Driven Management in Practice I and II
- Innovatorship Program (Life Shift Inc.)Every cohort since the 2nd: technology innovation management, now and next
- Future Leadership Academy In GinzaEvery cohort since the 1st: corporate strategy for the next era; AI for business design
- NEC Leaders ForumKeynote on data-driven innovation (2022)
- Okayama Prefectural GovernmentStaff training in management, statistical data use and policy analysis (2016–2019)
Talk to us about this
Let us know, as far as you can, the participants, their number, the timing and the format. We will propose a direction for the design.
Contact usSpeaker bios in English and other materials →