Neo4j worked with NASA to find incidents that may have taken place during missions to prevent future disasters. Knowledge Graphs allow you to make implicit relationships….explicit, they said. The deeper the context, the more powerful the insights, Natarajan and Barrasa noted.įrom bridging data silos to building a data fabric to accelerating machine learning and AI adoption and providing a blueprint for digital twins, knowledge graphs are foundational and allow businesses to be competitive and thrive. And Knowledge graphs apply semantics to provide deeper context to connected data. It can map data and draw connections among them for the first layer of dynamic context, which provides immediate understanding. A knowledge graph bridges together diverse and disparate data silos regardless of data type, such as structured, unstructured, and semi-structured. The platform connects data and its relationships to provide deep dynamic context, they said. They also play an important role in various industries and are connected to a rich and deep ecosystem. Knowledge graphs tackle complex data problems at scale and are applicable for a wide range of use cases across the data spectrum. Jesus Barrasa, senior director, sales engineering, Neo4j who discussed why knowledge graphs are on the rise, how they work, and what the most popular use cases are for enterprises.Ī knowledge graph is an interconnected dataset enriched with semantics so we can reason about the underlying data and use it confidently for complex decision-making, Natarajan and Barrasa explained. Maya Natarajan, senior director, knowledge graphs, Neo4j and Dr. Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI applications.ĭBTA recently held a webinar with Dr.