Way to data scientist

The recent surge of DeepSeek has shaken the entire world and even triggered a comprehensive revaluation of Chinese concept assets. While everyone is talking about embracing AI, the real question is: how should we truly adopt AI? A friend shared an insightful analogy with me : During the electrical revolution, everyone claimed to embrace electricity. A donkey-powered mill owner declared he would adopt AI too, so he Installed a lightbulb in his mill. Previously, donkeys could only grind during daylight, but with the bulb, they could work at night too, doubling productivity. “See? I’ve embraced AI!” he proclaimed. But we all know the real way to adopt electricity was to replace donkeys with electric motors. Adding a lightbulb (local optimization) ≠ Using a motor (technological substitution). The true value of AI lies in reengineering business processes, not simply layering tools.

How to Properly Embrace AI，The best approach is to integrate ai into daily workflows. you can use chatgpt, claude, perplexity, everyday, The first step is mastering prompt engineering – this will become a key differentiator in the future. an also you make video，write paper and so on.

For deeper technical insights, you study academic papers. Tools like Google’s NotebookLM can significantly accelerate paper analysis through AI assistance.

AI-Driven Transformation in E-commerce Data Science

1. Data Processing Scope
   Traditional data science struggled with unstructured data (text, images, audio, video). AI now enables both comprehension and generation of such content, though human validation remains crucial for accuracy.
2. Decision-Making & Forecasting
   While data science has long focused on intelligent decision-making and predictions, the paradigm is shifting:

Analysis: Previously required data analysts using conventional methods; now DeepSeek’s reasoning capabilities can directly generate insights.
Implementation: Traditional machine learning models demanded lengthy development cycles. With LLMs, intelligent decision systems can be deployed rapidly.
3. Data Visualization
Legacy tools like PowerBI and Tableau are being supplemented by DeepSeek’s ability to automatically generate analytical visualizations.

Conclusion
The AI revolution demands fundamental process redesign, not superficial tool adoption. AI exemplifies how to harness technology for transformative business impact.