These benefits, according to Kramer, can be achieved as a graph can help AI agents understand relationships between data points like suppliers, customers, and operational touchpoints, instead of seeing and reading data as separate tables.
Maps, just like Graph, can be used to add geospatial context to agents and agentic applications, Microsoft said, adding that it also can be used to transform volumes of location-based data into interactive, real-time visualizations that drive location-aware decisions.
Supply chain and logistics, Retail, and healthcare, as industry sectors, probably stand to gain the most from Maps and Graph, Kramer said, adding that while Maps can help track shipments, service areas, and demographics, Graph can model supplier dependencies and patient-provider relationships.
