Sara Duane

Content personalization and recommendation engines are pervasive in today’s society. They power some of our most used platforms–including Amazon, Spotify, Netflix, and more. However, many organizations struggle to provide their employees and customers with the same ease of content and information discovery. They are turning to semantic recommendation engines to solve these business challenges. How do you get started in designing and implementing an enterprise content recommendation engine to connect people with relevant content at the time of need? How do you define a knowledge graph that will effectively connect people to the right experts ? Do you take a deterministic or statistical approach with your semantic foundation? Nash and Duane have led numerous recommendation engine implementations, including with organizations in the healthcare, finance, and government sectors. During this presentation, they will share case studies, lessons learned, and success stories of enterprise semantic recommendation engines, a clear approach for establishing a recommender, and best practices to drive a successful implementation.

Track: Content KGs

Session Topics:

• Business Use Cases
• Data Modeling
• Ontologies
• Content Knowledge Graphs
• Information Architecture