Profile
Minoru Kuriyama
栗山 実
Representative Director, Antecanis Inc.
Data scientist, entrepreneur, strategist and educator.
Specializes in four areas: corporate strategy, data science, innovation and leadership development. Has launched data-driven startups across business domains, pursuing value creation through data science; has advised companies across industries on AI and data-driven strategy; and, as graduate business school faculty and lecturer, has helped develop many business leaders.
LinkedIn ↗Faculty profile (GLOBIS) ↗Faculty profile (Tama) ↗
46
Terms taught at GLOBIS University since 2015
12
Consecutive academic years at Tama Graduate School of Business
13
Cohorts of the Innovatorship Program
2
Startups co-founded, serving as director
Current roles
As of 2026
Antecanis Inc.
Representative Director
This company
GLOBIS University Graduate School of Management
Faculty
Courses: Business Analytics; AI and Data Science
Faculty profile (GLOBIS) ↗Tama Graduate School of Business
Specially Appointed Professor; Head of the Data-Driven Management field
Courses: Data-Driven Management in Practice I (Analysis and Decision-Making) and II (Strategy and Business Creation)
Faculty profile (Tama) ↗VISITS Technologies Inc.
Director and co-founder
AI solutions for innovation and corporate transformation
visits.world ↗souco Inc.
Director and co-founder
Warehouse-sharing platform
souco.space ↗D Capital Inc.
Advisory board member
A private equity fund creating value through DX expertise
dcapital.jp ↗
Also: Future Leadership Academy In Ginza (Matsuya Ginza); Innovatorship Program (Life Shift Inc.); corporate training and keynotes.
Career
The University of Tokyo
B.S. in Physics
The University of Tokyo, Graduate School of Science
M.S. in Physics (theoretical particle physics)
McKinsey & Company
Marketing strategy and project management across industries
2010
Founded Antecanis Inc.
Representative Director
2015 –
Graduate business school faculty
GLOBIS University; Tama Graduate School of Business
Articles and videos
AI Business Shift, Episode 6 (Management): Business strategy drawn with AI
With Kentaro Taki, Senior Partner, A.T. Kearney
GLOBIS Manabihodai (Japanese) ↗
Re-examining the value of existing businesses: keys to successful "re-invention" through small transformations
A dialogue with NEC
NEC wisdom (Japanese) ↗
Trends in data science and putting them into business practice
With GLOBIS faculty member Kenichi Suzuki
GLOBIS Manabihodai (Japanese) ↗
Teaching and talks
A summary for each institution; open for details.
GLOBIS University Graduate School of Management / GLOBIS Management School (GMS)Every term since 2015 — 46 terms in total. Quantitative Business Analysis, then Business Analytics and Business Data Science (now AI and Data Science).
- April 2015 Quantitative Business Analysis Tokyo (GMS), 6 sessions
- July 2015 Quantitative Business Analysis Tokyo (GMS), 6 sessions
- October 2015 Quantitative Business Analysis Online, 12 sessions
- January 2016 Quantitative Business Analysis Tokyo (GMS), 6 sessions
- April 2016 Quantitative Business Analysis Online, 12 sessions
- July 2016 Quantitative Business Analysis Tokyo, 6 sessions
- October 2016 Quantitative Business Analysis Tokyo, 6 sessions
- January 2017 Quantitative Business Analysis Fukuoka, 6 sessions
- April 2017 Quantitative Business Analysis Online, 12 sessions
- July 2017 Quantitative Business Analysis Tokyo, 6 sessions
- October 2017 Quantitative Business Analysis Tokyo (GMS), 6 sessions
- January 2018 Quantitative Business Analysis Tokyo (GMS), 6 sessions
- April 2018 Quantitative Business Analysis Online, 12 sessions
- July 2018 Quantitative Business Analysis Tokyo (GMS), 6 sessions
- October 2018 Quantitative Business Analysis Tokyo, 6 sessions
- April 2019 Business Analytics Tokyo, 6 sessions
- July 2019 Business Analytics Tokyo, 6 sessions
- October 2019 Business Analytics Tokyo (GMS), 6 sessions
- January 2020 Business Data Science Tokyo, 6 sessions
- April 2020 Business Data Science Tokyo, then online, 6 sessions
- July 2020 Business Data Science Online, 6 sessions
- October 2020 Business Data Science Online, 6 sessions
- January 2021 Business Analytics Online, 6 sessions
- April 2021 Business Data Science Online, 6 sessions
- July 2021 Business Analytics Online, 6 sessions
- October 2021 Business Data Science Online, 6 sessions
- January 2022 Business Data Science Online, 6 sessions
- April 2022 Business Data Science Online, 6 sessions
- July 2022 Business Analytics Tokyo, 6 sessions
- October 2022 Business Data Science Online, 6 sessions
- January 2023 Business Analytics Tokyo, 6 sessions
- April 2023 Business Analytics Online, 6 sessions
- July 2023 Business Analytics Online, 6 sessions
- October 2023 Business Data Science Online, 6 sessions
- January 2024 Business Data Science Online, 6 sessions
- April 2024 Business Analytics Online, 6 sessions
- July 2024 Business Analytics Tokyo, 6 sessions
- October 2024 Business Analytics Online, 6 sessions
- January 2025 Business Analytics Tokyo, 6 sessions
- April 2025 Business Analytics Tokyo, 6 sessions
- July 2025 Business Analytics Online, 6 sessions
- October 2025 Business Analytics Tokyo, 6 sessions
- January 2026 Business Analytics Online, 6 sessions
- April 2026 Business Analytics Tokyo, 6 sessions
- July 2026 Business Analytics Tokyo, 6 sessions
- October 2026 Business Analytics Online, 6 sessions
- January 2027 AI and Data Science Online, 6 sessionsUpcoming
- April 2027 AI and Data Science Online, 6 sessionsUpcoming
- 2014 Faculty talk: bringing "the eye of science" into business
- 2016 Helped deliver a special course, Data-Driven Marketing
- 2017 Video dialogue on data science and business practice (GLOBIS Manabihodai)
- 2018 Recorded corporate-training videos for Quantitative Business Analysis
- 2025 Video dialogue: AI Business Shift — business strategy drawn with AI (GLOBIS Manabihodai)
Tama Graduate School of BusinessEvery academic year since 2015. Currently Data-Driven Management in Practice I and II.
- 2015 fall semester Business Data Analysis and Strategy Formulation, 8 lectures
- 2016 fall semester Business Data Analysis and Strategy Formulation, 8 lectures
- 2017 fall semester Business Data Analysis and Strategy Formulation, 8 lectures
- 2018 fall semester Building Data-Driven Strategy, 8 lectures
- 2019 fall semester Building Data-Driven Strategy, 8 lectures
- 2020 fall semester Building Data-Driven Strategy, 8 lectures (online)
- 2021 fall semester Building Data-Driven Strategy, 8 lectures (online)
- 2022 fall semester Building Data-Driven Strategy, 8 lectures (hybrid)
- 2022 Faculty workshop: sharing ways to run online classes
- 2023 fall semester Building Data-Driven Strategy, 8 lectures (hybrid)
- 2024 fall semester Building Data-Driven Strategy, 8 lectures (hybrid)
- 2025 spring semester Data-Driven Management in Practice I: Analysis and Decision-Making, 8 lectures
- 2025 fall semester Data-Driven Management in Practice II: Strategy and Business Creation, 8 lectures
- 2026 Faculty workshop: beyond "using AI" — designing learning with AI built in, and building AI-first strategic thinking
- 2026 spring semester Data-Driven Management in Practice I: Analysis and Decision-Making, 8 lectures
- 2026 fall semester Data-Driven Management in Practice II: Strategy and Business Creation, 8 lectures
Life Shift Inc., Innovatorship ProgramEvery cohort since the 2nd (2016–, through the 14th).
- 2016 Cohort 2: The coming industrial revolution, read through science and technology
- 2017 Cohort 3: The coming industrial revolution, read through science and technology
- 2018 Cohort 4: The coming industrial revolution, read through science and technology
- 2019 Cohort 5: Technology innovation management, now and next
- 2020 Cohort 6: Technology innovation management, now and next
- 2021 Cohort 7: Technology innovation management, now and next
- 2022 Cohort 8: Technology innovation management, now and next
- 2023 Cohort 9: Technology innovation management, now and next
- 2024 Cohort 10: Technology innovation management, now and next
- 2025 Cohort 11: Technology innovation management, now and next
- 2025 Cohort 12: Technology innovation management, now and next
- 2026 Cohort 13: Technology innovation management, now and next
- 2026 Cohort 14: Technology innovation management, now and next
Matsuya Ginza, Future Leadership Academy In GinzaEvery cohort since the 1st (2024–).
- 2024 Cohort 1: Corporate strategy for the next (DX) era
- 2025 Cohort 2: Corporate strategy for the next (DX) era
- 2025 Cohort 3: Corporate strategy for the next (DX) era
- 2026 Cohort 4: Corporate strategy for the next (DX) era
- 2026 Cohort 5: Corporate strategy for the next era; AI for business design
Other teaching and talksPublic-sector and corporate training, forum keynotes.
- 2014 Career University: Corporate Strategy; Statistical Analysis
- 2016 Okayama Prefectural Government: Management I and II; statistical data use; information gathering and analysis for finding policy issues
- 2017 Okayama Prefectural Government: Management I and II; information gathering and analysis for finding policy issues
- 2018 Okayama Prefectural Government: Management I and II; information gathering and analysis for finding policy issues
- 2019 Okayama Prefectural Government: Management I and II
- 2021 Kyoto Career Forum: What data scientists need
- 2022 NEC Leaders Forum keynote: Data-driven innovation
- 2023 VISITS Technologies: introductory courses on data and AI, and on digital business model design
- Many other corporate training programs