Graph technology is transforming how we interact with data by emphasizing the connections between entities rather than viewing them in isolation. Amy Hodler, founder of GraphGeeks, asserts that this technology aligns with human thought processes, mirroring how we understand complex systems. By capturing the relationships and context that traditional analytics often overlook, graph technology provides valuable insights into not just what happens, but why, ultimately enhancing AI decision-making and grounding large language models.
In a world awash with data, the ability to derive meaning from connections is becoming more critical than ever. Traditional data systems focus on entities - people, products, or events - as isolated points.
Graphs mirror this intuitive mode of thinking by capturing both 'nouns' (the entities) and the 'verbs' (how those entities relate).
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