A financial services firm is in Phase IV (Model Development) of a CPMAI project to create a real-time fraud detection system. The data science team has developed a highly accurate deep learning model. However, during a review, the compliance team raises a concern that the model's decisions are completely opaque, violating new regulatory requirements for 'Right to Explanation'. What is the most appropriate next step for the project manager according to the CPMAI methodology?
An agricultural AI project aims to predict crop yield based on satellite imagery, weather patterns, and soil sensor data. The dataset is characterized by high dimensionality, non-linear relationships, and significant interaction between features. The project sponsor requires a model that is both highly accurate and provides clear insights into which factors are most influential on the yield. Which algorithm would be the most suitable choice?
A project manager is overseeing the development of a data pipeline for a large-scale AI system that will process both real-time streaming data from IoT devices and nightly batch data from a legacy CRM. Key requirements are scalability, fault tolerance, and the ability to manage complex data workflows. Which combination of technologies is most appropriate for this use case? (Select TWO)
True or False: In the CPMAI methodology, the 'Seven Patterns of AI' are primarily used during Phase IV (Model Development) to select the specific machine learning algorithm.
During Phase V (Model Evaluation) of an AI project designed to predict employee attrition, the model shows 95% accuracy. However, further analysis reveals that the model has a very low recall for the 'attrition' class. What is the most significant business risk associated with deploying this model?
A project team is developing a credit scoring model. They must choose a metric to optimize that balances the risk of denying a loan to a qualified applicant (False Negative) with the risk of approving a loan for an applicant who will default (False Positive). The bank has determined that the cost of a default is five times higher than the lost opportunity of a denied loan. Which evaluation metric is most appropriate to optimize?
A data governance officer is establishing a framework for a new AI initiative. They want to ensure that data used for training models can be traced back to its origin and that all transformations applied to it are documented. This is critical for auditing and debugging models. What specific data management concept needs to be implemented?
What is the primary purpose of a 'feature store' in a mature MLOps environment?
A project manager is leading a new Generative AI initiative to build a customer service chatbot. The team is small and needs to achieve a functional prototype quickly. During Phase I (Business Understanding), they identify a critical constraint: they have limited conversational data specific to their products. Which approach represents the most effective strategy to move forward?
During an AI project's stakeholder review meeting, a business leader expresses concern about the 'black box' nature of the proposed neural network model. The project manager needs to explain the concept of SHAP (SHapley Additive exPlanations) to address this. Which statement is the most accurate and clear explanation of SHAP?