Gartner Data & Analytics London May 2026

RDF, ontology, representative data, and executable SPARQL recipes for a context, governance, and vendor-strategy conference trip report.

RDF TurtleJSON-LDMarkdown

Overview

The article argues that enterprise AI progress depends on foundations, context layers, knowledge graphs, governance convergence, explicit vendor strategy, and use-case-driven methodology. This artifact set turns those takeaways into an executable RDF knowledge graph.

Enterprise Context Layer

A platform-independent layer of semantics, rules, ownership, operations, provenance, users, access, and assets that supports AI-ready work.

Knowledge graph

A graph of entities and relationships used to represent enterprise context and semantics.

Expanded governance frame

Governance expands beyond data governance into coordinated governance over AI, analytics, cybersecurity, MDM, decision, risk, IT, and operations.

Policy as code frame

A frame for translating definitions, models, quality, security, privacy, ethics, and lifecycle policies into enforceable code.

CSP-centric

Best when the enterprise is already on one cloud and values pre-integrated capabilities and speed over differentiation.

ISV-centric

Best for best-of-breed depth, cloud neutrality, and high maturity in specific capabilities.

Iron-thread approach

A use-case-first methodology that builds minimum foundations while delivering value end-to-end.

Executable SPARQL recipes

The source article does not include SPARQL examples; these generated recipes are modeled in RDF as schema:SoftwareSourceCode, target URIBurner SPARQL, and use the DAV named graph IRI for the generated Turtle graph.

Compare vendor strategy options

Returns CSP, ISV, application-provider, and tiered vendor strategy options with risks.

Run live query Endpoint

PREFIX sm: <https://juansequeda.substack.com/p/gartner-data-and-analytics-london#>
PREFIX schema: <http://schema.org/>
SELECT ?strategy ?name ?risk
WHERE {
  GRAPH <https://linkeddata.uriburner.com/DAV/demos/daas/gartner-data-analytics-london-gpt5-chat-1.ttl> {
    ?strategy a sm:VendorStrategyOption ; schema:name ?name ; sm:risk ?risk .
  }
}
ORDER BY ?name
List context layer components

Shows the components modeled for the enterprise context layer.

Run live query Endpoint

PREFIX sm: <https://juansequeda.substack.com/p/gartner-data-and-analytics-london#>
PREFIX schema: <http://schema.org/>
SELECT ?component ?name ?description
WHERE {
  GRAPH <https://linkeddata.uriburner.com/DAV/demos/daas/gartner-data-analytics-london-gpt5-chat-1.ttl> {
    sm:enterpriseContextLayer sm:hasComponent ?component .
    ?component schema:name ?name ; schema:description ?description .
  }
}
ORDER BY ?name
List expanded governance domains

Shows governance domains participating in the governance singularity frame.

Run live query Endpoint

PREFIX sm: <https://juansequeda.substack.com/p/gartner-data-and-analytics-london#>
PREFIX schema: <http://schema.org/>
SELECT ?domain ?name
WHERE {
  GRAPH <https://linkeddata.uriburner.com/DAV/demos/daas/gartner-data-analytics-london-gpt5-chat-1.ttl> {
    sm:governanceFrame sm:hasGovernanceDomain ?domain .
    ?domain schema:name ?name .
  }
}
ORDER BY ?name
Rank quantitative observations

Returns article metrics and values as executable representative data.

Run live query Endpoint

PREFIX sm: <https://juansequeda.substack.com/p/gartner-data-and-analytics-london#>
PREFIX schema: <http://schema.org/>
SELECT ?metric ?name ?value ?unit
WHERE {
  GRAPH <https://linkeddata.uriburner.com/DAV/demos/daas/gartner-data-analytics-london-gpt5-chat-1.ttl> {
    ?metric a sm:MetricObservation ; schema:name ?name ; schema:value ?value ; schema:unitText ?unit .
  }
}
ORDER BY DESC(?value)

Knowledge Graph Explorer

RDF Graph Workbench

Explore the generated ontology, representative instances, query examples, DCAT metadata, and provenance graph derived from the companion RDF.

0 nodes / 0 links

Graph data embedded from companion RDF at generation time. Click the graph to arm zoom; click outside the explorer to release page scrolling.