Graph analytics enables organizations to perform complex functions like fraud detection, customer influence networks, and recommendation engines. However, designing these solutions at scale requires careful consideration towards graph modeling, integration interoperability, and semantic standards. The underpinnings that form semantic layers–metadata, taxonomies, ontologies, and graph databases–also power successful graph analytics. Consequently, semantic layers are essential to implementing graph analytics solutions in production.

Kyle Garcia and Nick Sacoman of Enterprise Knowledge introduce graph analytics, outline what a typical solution entails, and explain how integrating a semantic layer into graph analytics enhances insight generation. They explain how businesses can discover hidden connections in enterprise data, enable context-aware information enrichment, and support continuous integration of new data sources. Garcia and Sacoman illustrate this approach in a real-world case study where EK delivered a graph analytics solution, with a semantic layer, to a national fraud investigator, enabling suspicious pattern identification through an interactive graph visualization interface.

Speaker: Kyle Garcia, Senior Technical Analyst, Enterprise Knowledge, LLC

Kyle Garcia is a Senior Technical Analyst in the Semantic Engineering and Enterprise AI Practice at Enterprise Knowledge, LLC, the world’s largest dedicated knowledge management consultancy. He is deeply experienced in data engineering, semantic technologies, and applying large language models (LLMs) to real-world business challenges. A published thought leader in AI, Kyle is passionate about integrating generative AI, data engineering, semantic technologies, and graph databases into the field of knowledge management. He has deep expertise in programming languages and frameworks such as Python, BAML, and R, as well as query languages such as SQL, SPARQL, and Cypher. Kyle is certified in multiple advanced technologies, including graph databases, cloud computing, data catalogs, and taxonomy and ontology management platforms.

Speaker: Nick Sacoman, Senior Software Engineer, Enterprise Knowledge, LLC