Knowledge Graphs as a Pillar to AI
  Yanko Ivanov   Yanko Ivanov
Senior Solution Architect
Enterprise Knowledge
  Lulit Tesfaye   Lulit Tesfaye
Practice Manager, Data and Information Management
Enterprise Knowledge


Wednesday, October 16, 2019
10:15 AM - 11:15 AM

Level:  Intermediate

Today’s organizations expect the best of what the web has to offer. Savvy knowledge workers want the findability and discoverability of Amazon’s recommendation engines and the intuitive usability of Google’s search rankings and knowledge graphs. Technology has finally caught up to allow organizations to obtain the benefit of such solutions.

As organizations implement the next generation of knowledge management, traditional search efforts have merged into a fusion of recommendation, analytics, and question-answering machines. The holy grail of cognitive solutions is a combination of robust, customizable IT architectures, and information models shaped in an agile way.

Our presentation will:  

  • Explain how ontologies serve as a framework for enterprise knowledge graphs;
  • Show how a semantic layer complements traditional information models, while making the semantics of metadata available and accessible;
  • Demonstrate how semantic knowledge models can be used as a basis for text mining and identifying context-based recommendations;
  • Show how Enterprise Knowledge Graphs play a fundamental role in this architecture, while bridging the gap between unstructured and structured data.

We will use a real-world production example of a robust, relevant recommendation engine for a large international development bank.

Yanko Ivanov is a Senior Solution Architect at Enterprise Knowledge, LLC. He is an expert in strategy, design, and implementation of knowledge and information management systems. Mr. Ivanov is focusing on system design and integration leveraging ontology and knowledge graph techniques. Mr. Ivanov is a certified Project Management Professional (PMP) as well as a Certified Scrum Master (SCM). Blending his technical background with his business analysis and project management experience, he specializes in gaining deep understanding of his clients’ knowledge and information management needs and developing practical roadmaps to achieve their KM vision.

Lulit Tesfaye is Practice Manager for Data and Information Management at Enterprise Knowledge, a consulting firm delivering Knowledge and Information Management solutions in an agile manner. Lulit brings over a decade of experience leading diverse organizations with initiatives in Knowledge, Information, and Data Management and is most recently focused on building advanced capabilities for optimizing data and information management initiatives.