BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260722T235850Z
DESCRIPTION:Click for Latest Location Information: http://dgiq-aigov2026.da
 taversity.net/sessionPop.cfm?confid=166&proposalid=16796\nEnterprises are a
 dopting GraphRAG within agentic workflows to ground LLMs in a trusted conte
 xt, raising the stakes on the semantic layer. Ontologies, taxonomies, SHACL
  shapes, SPARQL queries, and rule sets become executable data contracts tha
 t drive validation, inference, data products, and APIs across pipelines, se
 rvices, and AI agents. When those contracts change, hidden dependencies can
  trigger downstream breakage and “don’t touch the ontology&rdqu
 o; paralysis. Therefore, robust change management for the semantic layer is
  now a prerequisite for AI-ready data.\n\nWe will present a solution-first 
 case study that shows how to operationalize semantics like software: versio
 ned semantic artifacts, typed dependency tracking, and pre-release impact a
 nalysis that predicts what will break before it breaks. We will demonstrate
  how dependency types (validation vs. inference vs. workflow/API) dictate a
  response – whether to run a validator, rebuild a classifier, or noti
 fy an owner.\n\nAttendees will receive a practical SemanticOps roadmap: cha
 nge gates, regression checks, and measurable controls for a safe, continuou
 s evolution that teams can adopt quickly.\n\nKey Takeaways\n\n
 A clear definition of AI-ready data: meaning + constraints + provenance + o
 perational controls\n
 Understanding of semantic artifacts as executable contracts (ontology, SHAC
 L, SPARQL, rules, taxonomies)\n
 How to model typed dependencies and why “Not all dependencies mean th
 e same thing”\n
 How to identify impact analysis patterns: “What breaks if this term/r
 ule/shape changes?”\n
 How to integrate governance in your workflows: approvals, test gates, owner
  notifications, audit trail\n
 A step-by-step adoption plan: start small, harvest dependencies, scale cove
 rage\n\n
DTSTART:20261118T093000
SUMMARY:AI-Ready Data in the Age of LLMs: Robust Change Management in the S
 emantic Layer
DTEND:20261118T101459
LOCATION: See Description
END:VEVENT
END:VCALENDAR