Recurrent Neural Networks
6/4/2026

What the Agentic Era Means for Data Science
Short summary
AI agents are reshaping data science workflows and skill requirements in 2026. Data scientists need to adapt their capabilities to work alongside agentic systems. KDnuggets explores the practical implications for the profession.
- •Agentic AI systems are transforming how data science work gets done
- •Practitioners need new skills to remain competitive in the agentic era
- •Career planning in data science must account for agent-augmented workflows
Generated with AI, which can make mistakes.
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