Data Science & AI for Leaders
Entry Open
This class is designed to provide business managers with the basic knowledge they need to develop good decision-making and leadership skills when implementing AI in their businesses. By understanding the technical fundamentals of AI required at the management level, participants will be able to identify implementation opportunities and correctly assess the impact on the organization as a whole. This is a practical and advanced learning opportunity to develop the ability of managers to maximize the potential of AI and lead their organizations to innovation.
Registration deadline:
Please note the following after registration.
Registrants must note that refunds cannot be granted when cancellation notification is received later than four weeks prior to the start date.Transformation & Diversity Leadership
Certificate
We cultivate leadership that transforms organizational change and diversity into drivers of growth. This program is designed to develop business leaders capable of achieving sustainable transformation, offering practical learning in diversity management and transformation.
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Topic
Digital Transformation
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Business
Management
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Position
Executive
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Fee
¥200,000
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Language
Japanese
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Format
Osaka
- Date
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09:20〜16:40 9:20〜16:40 9:20〜16:40 09:20〜16:40 - Place
- Osaka
- 7F Grand Front Osaka Knowledge Capital 3-1 Ofuka Kita, Osaka Japan
- https://mba.nucba.ac.jp/en/access/osaka.html
- Registration deadline
- Target
- Professionals / Almuni
Faculty
Plan
The program is a practical and advanced learning opportunity to develop managers' ability to maximize the potential of AI and lead their organizations to innovation.
Cases
- What is Machine Learning: Learning AI Fundamentals Through Game Simulation
- Marriott International's AI Implementation
- Value Cloud... Opportunities and Risks of Generative AI (Condensed Version)
- GROW: Screening Human Intelligence Using Artificial Intelligence
- Pitarosso: AI-Driven Manual Pricing and Promotion
- What Does “Fairness” in Systems Mean? Evaluating Bias in Enterprise AI Products
Textbooks and reference materials
Textbook
- TBD
References
- TBD