Humans explore to learn. AI waits for data.
Human Creative
Tag: experience
Experience Selling
Experience Selling: Transforming Domain Expertise into Intellectual Capital
Paradigm Shift in Knowledge Economy
Core Value Proposition
- Transforming specialized domain experience into structured digital data
- Converting tacit knowledge into explicit, scalable intellectual assets
AI-Powered Knowledge Transformation
- Digitalization of expert experiences
- Large Language Model (LLM) training on domain-specific datasets
- Creating replicable decision-making models from individual expertise
Key Message: In the AI era, experience is no longer a limited personal resource but a dynamic, expandable intellectual asset that can be transformed, shared, and monetized globally.
EXP with AI
From Claude with some prompting
Here’s the analysis of the AI Experience (EXP) curve:
- Three-Phase Structure
Initial Phase
- Slow cost increase period
- Efficient progress relative to investment
- Importance of clear goals and scope setting
Middle Phase
- Steeper cost increase progression
- Critical focus on ROI and resource allocation
- Need for continuous cost-benefit monitoring
Final Phase
- Exponential cost increase occurs
- Practical goal setting rather than perfection
- Importance of determining optimal investment timing
- Unreachable Area Complementary Factors and Implications
Key Complementary Elements
- Human Decision
- Experience Know-How
- AI/ML Integration
Practical Implications
- Setting realistic goals at 80-90% rather than pursuing 100% perfection
- Balanced utilization of human expertise and AI technology
- Development of phase-specific management strategies
This analysis demonstrates that AI projects require strategic approaches considering cost efficiency and practicality, rather than mere technology implementation.
The graph illustrates that as AI project completion approaches 100%, costs increase exponentially, and beyond a certain point, success depends on the integration of human judgment, experience, and AI/ML capabilities.
3 for Datacenter
From DALL-E with some prompting
This image visually represents “3 Key Strategies for DC Operation.”
- Transform
- Digitalization: Transitioning data centers to digital technology.
- KPI (Key Performance Indicators)
- PUE (Power Usage Effectiveness) & Monitoring
- Automation
- Data API Service
- Digitalization: Transitioning data centers to digital technology.
- Use
- Data Platform: Establishing platforms for data management and utilization.
- Standardization
- Platform
- Continuous Upgrade
- New!!
- Data Platform: Establishing platforms for data management and utilization.
- Verify
- AI: Validating efficiency and performance of data centers through AI.
- Real AI
- Early Warning
- Energy Operation
- AI: Validating efficiency and performance of data centers through AI.
These three strategies are interconnected with three objectives: “Experience to Digital,” “Continuous Innovation,” and “AI DC Now!!” This illustrates that the operation of data centers is moving towards impacting humans through digitalization, innovation, and the application of AI technology, driving transformation across the industry.
Exp to the AI
From DALL-E with some prompting
The image outlines a transformative process in AI development:
Experience to Data: This depicts the conversion of real-world experiences into digital data. Icons indicate a brain or cognition and a gear mechanism, symbolizing the process of understanding and systematizing experiences.
Digital to Platform: The transformed data is then standardized on a platform. Icons of servers and a microchip suggest data storage and processing.
Platform Makes New & AI: Utilizing the standardized data, the platform facilitates the creation of new AI services. Icons of an AI chip and a symbol for ‘new’ represent the innovation and development of AI applications.
Overall, the image emphasizes the value of converting experiences into a digital format that can be standardized on a platform to drive the creation of innovative AI services.
Road to “the new”
From DALL-E with some prompting
The image visually explains the process of creating new ideas and innovations. Each stage is as follows:
Experience: The icon represents human experiences.
Digitization: The process of converting experiences into digital data.
Data: The digitized information.
AI/ML (Artificial Intelligence/Machine Learning): Technologies that analyze and learn from the data.
Accelerator: Represents the acceleration of the analysis and learning process through AI/ML.
Analysis: The process of analyzing data to extract useful insights.
Idea: The emergence of new ideas from data analysis. The phrase “Easy to Get” indicates that this process has become more accessible.
New: Two text icons depicting the implementation of new ideas into innovative products or services.
The image illustrates the flow of digitizing experiences into data, using AI/ML to analyze and accelerate this data, easily obtaining new ideas, and transforming them into new innovations.
Data center digit-x
Lechuck Park 