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AI agents are fundamentally redefining data science, accelerating innovation, and democratizing advanced analytics. This shift creates both immense potential and significant challenges for data & analytics leaders. Gartner’ crucial research reveals the core impacts of this convergence and provides strategic recommendations to position your organization for success.

  • Leveraging existing data science expertise to accelerate custom AI agent development
  • Transforming data scientist productivity by automating manual tasks across the entire project life cycle (data prep, MLOps, documentation)
  • Implementing agentic tools and platforms to empower citizen data scientists while establishing adaptive governance
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To ensure your organization is future-ready, the research also outlines the necessary steps to adapt your organizational structure and invest in unified, composite AI ecosystems for seamless machine learning and agent deployment. Furthermore, you will gain an understanding of Gartner’ strategic planning assumptions regarding the evolution of data science roles by 2027-2029, providing a critical perspective on how roles and responsibilities on your team will shift in the near future.

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GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner Reports: Gartner, AI Agents Disrupt Data Science and Machine Learning, Kjell Carlsson and Carlie Idoine, 4 September 2025.  Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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