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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=15961\nEnterprise AI&rsquo
 ;s business potential cannot be overstated; Specifically, a Semantic Layer 
 provides Generative AI (GenAI) with a programmatic framework to make organi
 zational context, content, and domain knowledge machine-readable. By employ
 ing standards-based semantic components such as metadata, business glossari
 es, taxonomy/ontology, and graph solutions, a semantic layer arms organizat
 ions with a framework to aggregate and connect siloed data and unstructured
  content, explicitly provide business context for data, and serve as the la
 yer for explainable GenAI solutions.\n\nThis tutorial will introduce Semant
 ic Layer frameworks and their core components, including the business gloss
 ary, metadata, taxonomy, ontology, and knowledge graph. It will delve into 
 how these components interconnect organizational knowledge and data assets,
  subsequently enhancing systems such as chatbots, recommendation engines, a
 nd intelligent search functions. Additionally, the tutorial will showcase c
 ase studies that explore the technical architectures of Semantic Layers, em
 phasizing the components that facilitate enterprise-scale data transformati
 on efforts through capabilities like federated metadata management, data ca
 talogs, ontology/knowledge graphs, and AI infrastructure. Specifically, it 
 will examine the top four architectural patterns successfully implemented a
 cross various organizations, highlighting best practices for enabling enter
 prise AI and considering organizational aspects for each. This is an intera
 ctive workshop, to learn about semantic solutions and use cases, and we wil
 l actually architect one.\n\nAfter attending this tutorial, participants wi
 ll be able to \n\n	Define a Semantic Layer framework\n
 Understand the use cases and applications of a Semantic Layer within the en
 terprise\n
 Deconstruct the components of a semantic layer architecture and supporting 
 technical ecosystem\n
 Identify the right enterprise AI opportunities and use cases for semantic l
 ayer solutions \n
 Choose the right semantic layer architecture pattern based on the organizat
 ional considerations\n
 Adopt the best practices for the chosen architectural pattern to operationa
 lize scalable semantic layer solutions\n\n
DTSTART:20250505T134500
SUMMARY:T13: How to Implement Semantic Layer Architectures
DTEND:20250505T165959
LOCATION: See Description
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