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Critical Review of "Agentic AI in Financial Services: Opportunities, Risks, and Responsible Implementation" by IBM Consulting
The recent IBM Consulting publication Agentic AI in Financial Services: Opportunities, Risks, and Responsible Implementation (May 2025, 36 pages) addresses the potential benefits and pitfalls of agent-based AI solutions in the financial sector. However, a close reading exposes gaps between the paper's broad aspirations and the strict regulatory and practical realities-especially regarding compliance with EU privacy rules (GDPR) and the...
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Spotlight The Power of a Single dvc.yaml in MLOps
The dvc.yaml file plays a central role in orchestrating a DVC-based pipeline. By consolidating raw data ingestion, transformations, feature engineering, and modeling into a single file, it serves as the primary source of truth.
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Spotlight Modular Transformations
Modular transformations reduce code tangling, facilitate quick iteration, and improve testability. By confining each transformation to a single step with standardized inputs/outputs, pipelines remain clear and maintainable.
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Spotlight Modular Code as a Cornerstone of MLOps
Modular code separates each pipeline function-data loading, cleaning, feature engineering, training-into well-defined modules.
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Spotlight MLflow Integration
This spotlight highlights how MLflow is integrated into a Hydra-based pipeline for reliable experiment tracking.