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Sukanya Mandal – AI Strategy and Execution Specialist @ DCU

This talk presents a formal methodology for constructing a Multi-Modal Knowledge Graph for a smart city, addressing data privacy and heterogeneity by using entirely synthetic data. We demonstrate a Python pipeline that leverages Large Language Models for text generation and knowledge extraction, Pandas for sensor data simulation, and rdflib for graph construction. The result is a robust, privacy-preserving foundation for a Cognitive Digital Twin, enabling advanced urban analytics.

Python llms Pandas rdflib
Chris Gregan – Games coder

This talk will introduce Celbridge, an open-source Python editing tool with a built-in Excel spreadsheet editor, plus lots of great productivity features. Celbridge makes spreadsheet automation easy; move data between sheets, run complex calculations, and validate your data using simple Python scripts in a friendly editor. The talk will cover how to download, install and get started with Celbridge so you can try it out yourself.

celbridge Python excel
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