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πŸ‡ΊπŸ‡³ Discover a country UN SDGs concerns w/ Open Metadata on Neo4J

πŸ€” About

Did you already ask yourself how a country handles the The United Nations 17 Sustainable Goals (UN SDGs)

and discover how a country acts:

  • πŸͺž For Itself
  • 🌏 For the region it belongs to
  • 🌐 (more globally) for the world

Well...this is all what this post is about, as part of #NODES23 event.

πŸͺ Teaser

With this first 30' content, you'll discover how to:

  1. πŸ’‘ Brainstorm with many creative AIs and build a project roadmap thanks to Self-Critique LLM Chain Using LangChain & SmartLLMChain
  2. πŸ”— Organize and link heterogeneous data together (Kaggle, DuckDb)
  3. βš™οΈ Build & RUN an efficient pipeline
  4. πŸ“¦ Deliver a global well designed knowledge graph
  5. πŸ—£οΈ Chat/Q&A with data in natural language: interact with the knowledge Graph (Langchain & Llama_Index)
  6. πŸ”¬ Interactively explore the graph (ie. see how the open data is linked to more global concerns from UNs)
  7. 🌌 Dive into dataviz experience, with Kineviz GraphXR
  8. πŸ§‘β€πŸŽ¨ Enjoy some movie data art experience with Gephi and Runway

πŸ“½οΈ Storytelling

Enough chat, here is the live session replay:

πŸ§‘β€πŸŽ¨ Data art contemplation 🎢

The creation pipeline is as follows:

  1. Export data from Neo4J Bloom
  2. Import data into Gephi
  3. Tune a dataviz with Gephi (Force Atlas based)
  4. Inject dataviz into Runway Gen2
  5. Play with Slow motion
  6. Add soundtrack

Below the output:

🎹 More about "Clair de Lune de Claude Debussy - Myung Whun Chung (2013)" ☺️

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