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Towards Data Science
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How AI Is Rewriting the Day-to-Day of Data Scientists
- The article discusses various AI tools used in data science, such as OpenAI API, ChatGPT, Gemini, Glean AI, Cursor, Copilot, Hex Magic, and Snowflake Cortex.
- It focuses on two main aspects: eliminating low-value tasks and accelerating high-value work in data science.
- In terms of eliminating low-value tasks, AI plays a role in empowering stakeholders for self-serve analytics and reducing time spent on repetitive reporting.
- AI tools are aimed at enhancing query data with natural language, implementing chat-based BI assistants, and improving data catalog tools for better documentation.
- To accelerate high-value work, AI assists in coding and debugging, automating EDA and analysis processes, and enhancing NLP capabilities for data analysis.
- AI tools like Google Data Science Agent, ChatGPT's Data Analyst tool, and OpenAI API are mentioned for their contributions in streamlining data analysis workflows.
- The article emphasizes the importance of using AI to eliminate barriers to productivity and to focus on driving impactful data projects efficiently.
- It advises data scientists to be pragmatic in adopting AI tools that work, staying updated on emerging technologies, and prioritizing the core purpose of data science.
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