Tag: human

New Operation

Posted on by lechuck park

1. The 4-Step AI Operation Process

  • Collect: Gather data from various sources like sensors, logs, and metrics.
  • Analyze: AI processes large-scale data in real-time to find patterns, anomalies, and root causes.
  • Apply: AI turns data into usable insights, offering recommended actions and risk predictions.
  • Act: AI executes automated tasks, while humans review and make the final approvals.

2. The Paradigm Shift (Past vs. Now)

  • The Past: Humans manually handled the entire process from data collection to action.
  • Now (With AI): AI handles most of the heavy analysis and application. As a result, the true difference-makers are now Data Quality (accuracy) and Final Decision & Action (human judgment).

3. Summary

“Better Data. Better Decisions. A Smarter Future.” As we rely more on AI for analysis, the success of any operation ultimately comes down to two things: how reliable your data is, and the quality of human judgment in the final decision-making process.

#AI #AIOps #DataQuality #Automation #HumanJudgment #DigitalTransformation #ITOperations

With ChatGPT, Gemini

From Stone to Artificial Minds

Posted on by lechuck park

The evolution of human tools is a mirror reflecting our endless desire to transcend not just physical limits, but cognitive ones as well. As AI emerges with the potential to replace our labor and intellect, it marks the beginning of a new evolution. It forces humanity to redefine its intrinsic value, shifting our most fundamental question from “What can we do?” to “Why do we exist?”

With Gemini

New Era of Digitals

Posted on by lechuck park

This image presents a diagram titled “New Era of Digitals” that illustrates the evolution of computing paradigms.

Overall Structure:

The diagram shows a progression from left to right, transitioning from being “limited by Humans” to achieving “Everything by Digitals.”

Key Stages:

  1. Human Desire: The process begins with humans’ fundamental need to “wanna know it clearly,” representing our desire for understanding and knowledge.
  2. Rule-Based Era (1000s):
    • Deterministic approach
    • Using Logics and Rules
    • Automation with Specific Rules
    • Record with a human recognizable format
  3. Data-Driven Era:
    • Probabilistic approach (Not 100% But OK)
    • Massive Computing (Energy Resource)
    • Neural network-like structures represented by interconnected nodes

Core Message:

The diagram illustrates how computing has evolved from early systems that relied on human-defined explicit rules and logic to modern data-driven, probabilistic approaches. This represents the shift toward AI and machine learning, where we achieve “Not 100% But OK” results through massive computational resources rather than perfect deterministic rules.

The transition shows how we’ve moved from systems that required everything to be “human recognizable” to systems that can process and understand patterns beyond direct human comprehension, marking the current digital revolution where algorithms and data-driven approaches can handle complexity that exceeds traditional rule-based systems.

With Claude