Data Analytics and Artificial Intelligence Questions

Discuss how to leverage data analytics and artificial intelligence to guide and accelerate transformation initiatives. Coverage includes defining key performance indicators and instrumentation, designing data pipelines and reporting layers, selecting and scoping analytics or machine learning use cases, assessing data quality and feasibility, measuring adoption and business impact, model governance and monitoring, ethical considerations and bias mitigation, and building cross functional analytics capabilities and decision workflows. Interviewers will assess the candidate's ability to translate business problems into measurable experiments and to operationalize analytic insights.