What happens when real-time customer feedback meets large language models inside a fully governed Domo ecosystem? Explore how OneMagnify built a sophisticated AI-driven reporting solution for ESPN that converts raw fan sentiment into concise, daily executive narratives. Powered by a custom Domo app and an Anthropic large language model, this approach combines structured logic, prompt engineering, and human oversight to produce precise, multiformat insights. Attendees will see how this innovation shifts executive reporting from static dashboards to dynamic, narrative-driven decision support—delivering accurate, point-in-time summaries that empower leadership without relying on trend analysis. Takeaways: • How integrating an Anthropic LLM with Domo’s data ecosystem enables real-time transformation of customer feedback into executive-ready narratives. • The value of combining prompt engineering with human quality control to enhance AI output accuracy and reduce emotional bias. • Why point-in-time sentiment analysis offers unique operational advantages over traditional trend-focused reporting.

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