by: Lulit Tesfaye & Bess Schrader
Knowledge graphs are a driving trend in the field of data management. However, without understanding why, when, and how to leverage knowledge graphs, advocating for semantic solutions or getting buy-in from your organization can be an uphill battle. Too often, these concepts are esoteric and not linked directly to business value and outcomes. This workshop will give you the approaches, tools, and lessons learned necessary to define specific use cases for knowledge graphs in your organization, justify them to your organizational leadership, and build small scale prototypes to demonstrate business value and practical results for the end user.
Learning Objectives
Deconstruct the meaning and use of knowledge graphs in the semantic space to determine when they are the best fit for your organization (and when they are not).
Learn how to build an ontology and a knowledge graph to figure out the fastest way to getting started with the lowest-cost, highest-value approaches and tools.
Walk away with a checklist for building your business case, evaluating semantic tools, and how to scale.
Bios
Lulit Tesfaye is Practice Manager for Data and Information Management at Enterprise Knowledge. Lulit leads the design, strategy, and implementation projects focused on semantic technologies and AI capabilities. Lulit’s most recent thought leadership is focused on building business value models for data and information management initiatives.
Bess Schrader is a knowledge management consultant specializing in semantic technologies and integrations. She is particularly interested in using taxonomies, ontologies, and knowledge graphs to build semantic solutions that help organizations solve complex information challenges.
