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The Role of Analytics in Shaping the Future of MLOps

The Brave Technologist

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Navigating AI and Analytics in Product Management

This chapter explores the integration of data science with product management, focusing on the challenges of implementing AI and analytics in financial services. It highlights the distinction between Model Ops and ML Ops and underscores the importance of aligning technical and business perspectives for effective decision-making. Additionally, it addresses the operational hurdles organizations face in deploying machine learning models, emphasizing improved communication and collaboration to enhance analytics accessibility.

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