#Shibuya #Web3 University #Innovation Programs

The Driving Force Behind Corporate Innovation: Shibuya Web3 University

In a world characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), companies are facing significant challenges in workforce development. The rapid rise of generative AI and the acceleration of Web3 technologies have rendered traditional training methods, which rely heavily on rote memorization, insufficient for adapting to evolving technological landscapes. This pressing need is especially evident in departments responsible for driving digital transformation (DX) and fostering innovation.

Challenges in Workforce Development

Many organizations have tried to integrate generative AI tools, only to find that their overall utilization remains limited. Others wish to understand the potential of Web3 but lack systematic opportunities for learning. Even when training programs are conducted, there are concerns that knowledge does not translate into practical applications. The speed of technological evolution leads to learned content becoming outdated quickly.

To address these challenges, Shibuya Web3 University proposes a shift from mere memorization to cultivating a thinking organization. Instead of merely teaching how to use tools, the focus is on understanding the essence of the technology, posing questions independently, and fostering creative problem-solving skills. This transformative approach nurtures an internal culture of mutual teaching, enabling organizations to achieve sustainable growth even after the training is completed.

The seamless integration of branding and technology knowledge allows the university to offer consistent programs that translate philosophy into action, thereby embedding these values into the corporate culture.

Three Comprehensive Solution Programs

1. Generative AI Training Program

The program, tailored under Shibuya Web3 University's guidance and based on the SHISUKANSU framework provided by boom now, is specifically crafted for corporations. Its three main features include:

• - Adaptability in Thought: Participants learn to understand the essence of generative AI’s technology, equipping themselves with thinking skills to adapt to its evolution independently, rather than relying only on instructions.
• - Real-World Expertise: Lessons from current hacker-engineers who know the limitations and potentials of generative AI foster a deeper understanding of why and how to apply the technology, beyond just