Fluree invites you to their event

Building Knowledge Graphs with AI

About this event

Join us for Chapter 2 of our Semantic AI webinar series, in collaboration with adorsys, as we explore why semantic graph technology is the essential foundation for accurate, contextual enterprise AI.

In Chapter 1, The Case for Semantic AI, we discussed how through Knowledge Graphs, organizations can unify data silos around shared domain concepts, resulting in higher data quality and enhanced knowledge discovery. By applying a semantic approach to LLM projects, enterprises can achieve more contextual and explainable answers with fewer hallucinations, while also reducing the IT overhead required to connect AI models with enterprise data.

However, hand-crafting knowledge graphs by creating, managing, and mapping data to ontologies has always been complex, time-consuming, and even costly. Today, we'll discuss how we can use traditional AI to accelerate and enrich the process of building knowledge graphs from legacy data. We'll show how to create a semantic model from your domain and use AI to auto-tag and map unstructured and structured data to your semantic model.

The end result? We now have a semantic data model that can be used as master context for any LLM, and instance data that is classified, cleaned, and linked together as a unified data store for information retrieval.

Hosted by

  • Guest speaker
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    Eliud Polanco President @ Fluree

    Eliud Polanco is a seasoned data executive with extensive experience in leading global enterprise data transformation and management initiatives. Previous to his current role as President of Fluree, a data collaboration and transformation company, Eliud was formerly the Head of Analytics at Scotiabank, Global Head of Analytics and Big Data at HSBC, head of Anti-Financial Crime Technology Architecture for U.S.DeutscheBank, and Head of Data Innovation @ Citi. In his most recent role as Head of Analytics and Data Standards at Scotiabank, Eliud led a full-spectrum data transformation initiative to implement new tools and technology architecture strategies, both on-premises as well as on Cloud, for ingesting, analyzing, cleansing, and creating consumption ready data assets.

  • Guest speaker
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    Mark Kram Lead AI and Information Management @ adorsys

    Mark Kram worked as a research associate at the Institute of Information Systems at Friedrich-Alexander University and as an IT consultant after completing his studies in Business Informatics. His primary focus lies on AI applications for graph-based data structures. Since 2024, he has been working as a technical lead for information management and AI at adorsys, where he actively pushes these fields with clients.

  • Team member
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    Kevin Doubleday Director of Communications @ Fluree