Generative Artificial Intelligence for Enterprise Questions

Focuses on practical use of artificial intelligence and generative artificial intelligence within enterprise information technology and business processes. Candidates should explain foundational model concepts, common generative use cases such as assisted content generation knowledge retrieval conversational interfaces intelligent automation and code assistance, and how these models augment decision workflows. Interviewers evaluate knowledge of data and model governance, model training and evaluation, productionization and model operations, monitoring and detection of model drift, privacy and security controls, explainability and fairness, human in the loop design and prompt engineering, compute and cost trade offs, deployment options and integration with existing applications and data platforms, and legal and ethical considerations. Candidates should be able to assess feasibility of use cases, design safe and compliant deployment approaches, measure business value and risk, and integrate model governance with enterprise data protection and compliance programs.