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5 Key Data Scene Trends Overseas in 2025
hello.
This is Joe, running a data lecture.
Today, in the irregular newsletter, I am sharing with you the information I found out after seeing the emergence of AI and the recent active research on libraries such as Text-To-SQL, wondering , "What is the overseas data scene doing now?"
This article is a translation and summary of Datacamp's Data & AI Trends & Predictions 2025 White Paper.
2025, 5 Key Trends in Overseas Data Scene AI & Data
1. The boundaries between data professions are blurred.
As AI automates SQL and data analytics tasks, the traditional role distinctions between data analysts, engineers, and data scientists are blurring.
Now, all professions must be able to handle data, and data literacy (the ability to read and utilize data) is becoming more important.
2. AI research continues to advance, but actual adoption is slow
AI models are becoming more powerful, but actual adoption of AI within enterprises remains slow
It is predicted that more than 30% of Generative AI projects will be abandoned by 2025 (Gartner)
The key task is not simply to improve AI model performance, but how to link it with actual business processes.
3. The differentiating point of AI tools will be the user experience (UX).
As the performance gap between AI models narrows, user experience (UI/UX) and actual usability become more important competitive factors.
AI research labs are thinking about how to make it more intuitive and easier to use.
The goal is to make AI an essential tool for business operations, not just a technology.
4. AI & Data Skills Gap is still a major issue
The gap in AI and data utilization capabilities remains a major issue within companies
For companies, educating employees to handle AI and data is becoming a more urgent task than introducing AI.
5. In an era where AI writes SQL instead, data literacy becomes important.
As AI-based Text-to-SQL technology advances, data extraction through SQL becomes easier
However, this does not mean that you do not need to know SQL, but rather that the ability to interpret and utilize SQL has become more important.
AI generates and interprets SQL, but it’s still up to humans to plan what data to analyze
source:
https://www.datacamp.com/report/data-trends-predictions-2025
Thank you for reading.
Joe Dream
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