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Gartner’s latest Magic Quadrant report found that enterprises are increasingly adopting consolidated data science and machine learning platforms to handle both traditional ML and new GenAI use cases. These platforms allow data scientists to clean and prepare data, analyze it, and build and deploy ML and AI models into production. The rise of GenAI is driving a significant increase in DSML platform spending, but building GenAI products remains a challenging task.
