Enterprise Knowledge’s Joe Hilger, Chief Operating Officer, and Sara Nash, Principal Consultant, will co-present a workshop, and Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services, and Urmi Majumder, Principal Data Architect, will present a conference session at the Data Summit Conference in Boston. The premiere data management and analytics conference will take place May 14-15 at the Hyatt Regency Boston, with pre-conference workshops on May 13, and will feature workshops, panel discussions, and provocative talks from industry leaders.
Hilger and Nash will be giving an in-person half-day workshop titled “Building the Semantic Layer of Your Data Platform,” on Tuesday, May 13. Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their content and data. Join Hilger and Nash to learn what a semantic layer is, how it is implemented, and how it can be used to support your Enterprise AI, search, and governance initiatives. Participants will get hands-on experience building a key component of the semantic layer, knowledge graphs, and the foundational elements required to scale it within an enterprise.
Tesfaye and Majumder’s session, “Implementing Semantic Layer Architectures,” on May 15 will focus on the real-world applications of how semantic layers enable generative AI (GenAI) to integrate organizational context, content, and domain knowledge in a machine-readable format, making them essential for enterprise-scale data transformation. Tesfaye and Majumder will highlight how enterprise AI can be realized through semantic components such as metadata, business glossaries, taxonomy/ontology, and graph solutions – uncovering the technical architectures behind successful semantic layer implementations. Key topics include federated metadata management, data catalogs, ontologies and knowledge graphs, and enterprise AI infrastructure. Attendees will learn how to establish a foundation for explainable GenAI solutions and facilitate data-driven decision-making by connecting disparate data and unstructured content using a semantic layer.
For further details and registration, please visit the conference website.