
This image illustrates the evolution of problem-solving approaches, contrasting traditional methods with modern AI-based solutions:
‘Before’ stage:
- Starts with Simple data
- Proceeds through Research
- Find out Rules with formula
- Resolves Complex problems
This process represents the traditional approach where humans collect simple data, conduct research, and discover rules to solve complex problems.
‘Now with AI Infra’ stage:
- Begins with Simple data
- Accumulates too much Simple data
- Utilizes Computing for big data and Computing AI
- Solves Complex problems by too much simple
This new process showcases a modern approach based on AI infrastructure. It involves analyzing vast amounts of simple data using computational power to address more evolved forms of complexity.
The ‘Complex Evolution’ arrow indicates that the level of complexity we can handle is evolving due to this shift in approach.
In essence, the image conveys that while the past relied on limited data to discover simple rules for solving complexity, the present leverages AI and big data to analyze enormous amounts of simple data, enabling us to tackle more sophisticated and complex problems. This shift represents a significant evolution in our problem-solving capabilities, allowing us to address complexities that were previously beyond our reach.