AI and machine learning models benefit immensely from graph-based data. Traditional AI models learn from isolated pieces of information, but graph-based AI can leverage the context provided by the connections between data points. This approach offers several benefits:

• Contextual Learning: Graph-AI learns not just from the data itself but from the relationships and interactions between data points. This leads to more accurate and nuanced models.
• Enhanced Predictions: By understanding the context and connections, AI models can make better predictions and recommendations.
• Scalable Learning: Graph-based learning can efficiently handle large and complex datasets, making it suitable for real-world applications where data is vast and interconnected.