Lesson 1: Data-to-text for reporting
Focus on identifying problems in data, accessing and visualizing datasets, recognizing patterns, and creating coherent reports through dialogue with chatbots and code interpreters.
Nokia Spring 2026, Seminar Series: Using GenAI from Data to Decisions
This three-lecture cycle explored how teams can use generative AI to move from raw data to practical decisions. The course was delivered through Cefriel. The sessions progressed from data interpretation, to forecasting and scenario analysis, and then to storytelling and presentation design.
The three lectures were explicitly designed as one connected path: Data-to-text builds structured understanding,
Forecasting & scenario analysis projects that understanding into the future, and Information presentation
turns insights into narratives that support coordination and action.
Nokia Seminar Photos
The lectures
Lesson 2: Forecasting and scenario analysis
Discussion of what makes a prediction reliable, model taxonomies, qualitative and quantitative scenario methods, and AI-supported expert-board/Delphi workflows for uncertainty-aware decisions.
Lesson 3: Presenting information
Work on storytelling for coordination, contextual prompting, framing and personalization, and practical techniques to design presentations and reusable AI skills.
