How is AI Evolving? A Look at the Startup Landscape in the U.S. and Asia
Stanford University via YouTube
Overview
This seminar explores the evolution of AI and the startup landscape in the U.S. and Asia. The course aims to provide insights into strategic spaces, challenges, sourcing deals, disruption, and open innovation in the field. Participants will learn about mapping out strategic space, dealing with total disruption, and the differences between data native and data-driven approaches. The teaching method involves presentations by industry experts. This course is intended for individuals interested in AI, startups, and technology management.
Syllabus
Introduction
Toyota
Mapping out strategic space
Layers of the stack
Timeline
Challenges
Timing
Sourcing Deals
Mirai
China
Disruption
Fuji Film
Uncertainty
Data Native vs Data Driven
How to Deal with Total Disruption
Open Innovation
Team
Taught by
Stanford Online