Your Digital Data Map for Finding Relationships
Generative AI and large language models are continuously advancing in mention and capability, but the underlying technology isn’t as commonly understood. Knowledge graphs are a significant cornerstone driving artificial intelligence, and when utilized correctly, your AI systems have a strong foundation to scale efficiently with.
Simply put, a knowledge graph is a way to organize information about objects in the real world. They:
- Show what entities (like people, place, things) surround us and how they’re linked together
- Tell a machine that words aren’t just random strings of characters, but have meaning rich with context that further drive decisions
- Help computers make sense of data for searches, recommendations and other AI tasks
While they are nothing new, they are as valuable as ever as new AI tools emerge. If you’re interested in learning what a knowledge graph is, how it works, and how to build a strong one, this piece is for you. For an in-depth webinar from our data science team on the subject, check out the recording here.
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