Scaling Knowledge Graph Architectures with AI

Sara Nash and Urmi Majumder, Principal Consultants at Enterprise Knowledge, presented “Scaling Knowledge Graph Architectures with AI” on November 9th, 2023 at KM World in Washington D.C. In this presentation, Nash and Majumder defined a Knowledge Graph architecture and reviewed how AI can support the creation and growth of Knowledge Graphs. Drawing from their experience in designing enterprise Knowledge Graphs based on knowledge embedded in unstructured content, Nash and Majumder defined approaches for entity and relationship extraction depending on Enterprise AI maturity and highlighted other key considerations to incorporate AI capabilities into the development of a Knowledge Graph. Check out the presentation below to learn how to: 

  • Assess entity and relationship extraction readiness according to EK’s Extraction Maturity Spectrum and Relationship Extraction Maturity Spectrum.
  • Utilize knowledge extraction from content to translate important insights into organizational data.
  • Extract knowledge with three approaches:
    • RedEx Rule
    • Auto-Classification Rule
    • Custom ML Model
  • Examine key factors such as how to leverage SMEs, iterate AI processes, define use cases, and invest in establishing robust AI models.

Slide Deck

Sara Nash Sara is a Principal Consultant of Semantic Engineering. She specializes in Semantic Layer and Enterprise AI initiatives, leading throughout strategy, design, and implementation. She has led taxonomy/ontology design, knowledge graph implementation, recommendation engine solutions, and advanced analytics platforms across financial services, pharmaceuticals, ESG consulting, workforce enablement, and more. More from Sara Nash »
Urmi Majumder Urmi is a Principal Consultant and hands-on architect with broad experience across many areas of technology including semantic data engineering, machine learning, application development, databases, search engines, analytics, infrastructure, DevOps and security. She has deep expertise in knowledge graphs, enterprise AI, application architecture, design and development, relational databases, Lucene-based search engines, large scale computing solutions and AWS. She is passionate about problem solving, irrespective of the domain. More from Urmi Majumder »