IA
Knowledge Graphs in Principle and Practice: Operations, Engineering and Governance [7/8]
IA
Salvation AI di Aion-Sigma Correlated Curricula
Note sull'episodio
Module VII: Operations, Engineering & Governance
Focusing on production-grade systems and the lifecycle of an industrial KG.
Graph Engineering: Hands-on implementation using Neo4j AuraDB and the Graph Data Science (GDS) library.
Python Automation: Building end-to-end pipelines for ingestion, PageRank centrality, and Louvain community detection.
Operational Bridge: Managing Data Contracts, Provenance, and Schema Evolution.
Distributed Reasoning: Scaling logic solvers across billion-node clusters through horizontal and vertical partitioning.
Parole chiave
AIInformationLogicComputationDataLLMMetricsKnowledge GraphsSemantic SpaceNeural Network