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FNB.Ban.001 FNB.Ban.001

Context

Introduction

The banking industry is undergoing a significant transformation driven by large investments in artificial intelligence and advanced technologies aimed at improving customer experience and operational efficiency.

Role

The learner takes on the role of a junior data scientist within Bank of America’s AI development team. Their core responsibility is to analyze and assess the quality of conversational chatbot training data, identifying biases, gaps, or errors that could impact AI model performance and user trust.

Business Objectives

The main task is to evaluate the conversational training dataset for completeness, representativeness, and potential risks, then recommend improvements to enhance the chatbot’s accuracy and fairness. T

Products

The key deliverable is a comprehensive data quality assessment report that summarizes findings on dataset strengths and weaknesses, highlights risk areas, and provides prioritized recommendations for refinement.

Codebook

Dataset

rdso.DatasetLocation.None

License

Not Provided

Tags

Data Provenance