Key terms and concepts for AI operations, data pipelines, and customer experience.
A sequence of steps that collect, process, and move data between sources for storage, analytics, machine learning, or other uses.
A digital blueprint that models how all your business data connects, like a digital twin of your organization's knowledge structure.
A comprehensive evaluation framework that measures and tracks AI model performance, accuracy, and reliability across different metrics and use cases.
A structured workflow that leverages artificial intelligence to automate complex business operations, from data ingestion to insight generation.
Quantitative measurements that track the performance, effectiveness, and impact of AI models and automated processes.
A quantitative measurement of customer sentiment polarity (positive, negative, or neutral) derived from Voice of Customer data analysis.
