# Gartner Data & Analytics London May 2026: My Honest No-BS Takeaways

Source article: [https://juansequeda.substack.com/p/gartner-data-and-analytics-london](https://juansequeda.substack.com/p/gartner-data-and-analytics-london)
Companion HTML: [gartner-data-analytics-london-gpt5-chat-1.html](gartner-data-analytics-london-gpt5-chat-1.html)
Companion RDF Turtle: [../rdf/gartner-data-analytics-london-gpt5-chat-1.ttl](../rdf/gartner-data-analytics-london-gpt5-chat-1.ttl)
Companion JSON-LD: [../rdf/gartner-data-analytics-london-gpt5-chat-1.jsonld](../rdf/gartner-data-analytics-london-gpt5-chat-1.jsonld)

## Overview

This collection models Juan Sequeda's Gartner Data & Analytics London May 2026 trip report as executable RDF. The generated graph includes a lightweight ontology, representative context-layer components, vendor strategies, governance domains, policy types, metrics, methodologies, people, DCAT metadata, provenance, and live SPARQL recipes over the companion RDF.

## Core Entities

- [Gartner Data & Analytics London May 2026: My Honest No-BS Takeaways](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23article): Juan Sequeda's trip report on Gartner Data & Analytics London covering foundations, context, vendor strategy, governance, methodologies, and community.
- [Enterprise Context Layer](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23enterpriseContextLayer): A platform-independent layer of semantics, rules, ownership, operations, provenance, users, access, and assets that supports AI-ready work.
- [Knowledge graph](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23knowledgeGraphConcept): A graph of entities and relationships used to represent enterprise context and semantics.
- [Expanded governance frame](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23governanceFrame): Governance expands beyond data governance into coordinated governance over AI, analytics, cybersecurity, MDM, decision, risk, IT, and operations.
- [Policy as code frame](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23policyAsCodeFrame): A frame for translating definitions, models, quality, security, privacy, ethics, and lifecycle policies into enforceable code.
- [CSP-centric](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23cspCentricStrategy): Best when the enterprise is already on one cloud and values pre-integrated capabilities and speed over differentiation.
- [Iron-thread approach](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23ironThreadMethodology): A use-case-first methodology that builds minimum foundations while delivering value end-to-end.
- [Gartner London takeaways catalog](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23gartnerLondonCatalog): DCAT catalog for the generated context, governance, vendor strategy, and methodology knowledge graph.
- [URIBurner SPARQL endpoint](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23uriBurnerSparqlEndpoint): Default live endpoint for generated executable query links.

## Executable SPARQL Examples

### [Compare vendor strategy options](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23query-vendor-strategies)

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

[Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=&query=PREFIX%20sm%3A%20%3Chttps%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23%3E%0APREFIX%20schema%3A%20%3Chttp%3A%2F%2Fschema.org%2F%3E%0ASELECT%20%3Fstrategy%20%3Fname%20%3Frisk%0AWHERE%20%7B%0A%20%20GRAPH%20%3Chttps%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Fgartner-data-analytics-london-gpt5-chat-1.ttl%3E%20%7B%0A%20%20%20%20%3Fstrategy%20a%20sm%3AVendorStrategyOption%20%3B%20schema%3Aname%20%3Fname%20%3B%20sm%3Arisk%20%3Frisk%20.%0A%20%20%7D%0A%7D%0AORDER%20BY%20%3Fname&format=text%2Fx-html%2Btr&timeout=0&debug=on&run=+Run+Query+)

```sparql
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](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23query-context-components)

Shows the components modeled for the enterprise context layer.

[Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=&query=PREFIX%20sm%3A%20%3Chttps%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23%3E%0APREFIX%20schema%3A%20%3Chttp%3A%2F%2Fschema.org%2F%3E%0ASELECT%20%3Fcomponent%20%3Fname%20%3Fdescription%0AWHERE%20%7B%0A%20%20GRAPH%20%3Chttps%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Fgartner-data-analytics-london-gpt5-chat-1.ttl%3E%20%7B%0A%20%20%20%20sm%3AenterpriseContextLayer%20sm%3AhasComponent%20%3Fcomponent%20.%0A%20%20%20%20%3Fcomponent%20schema%3Aname%20%3Fname%20%3B%20schema%3Adescription%20%3Fdescription%20.%0A%20%20%7D%0A%7D%0AORDER%20BY%20%3Fname&format=text%2Fx-html%2Btr&timeout=0&debug=on&run=+Run+Query+)

```sparql
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](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23query-governance-domains)

Shows governance domains participating in the governance singularity frame.

[Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=&query=PREFIX%20sm%3A%20%3Chttps%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23%3E%0APREFIX%20schema%3A%20%3Chttp%3A%2F%2Fschema.org%2F%3E%0ASELECT%20%3Fdomain%20%3Fname%0AWHERE%20%7B%0A%20%20GRAPH%20%3Chttps%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Fgartner-data-analytics-london-gpt5-chat-1.ttl%3E%20%7B%0A%20%20%20%20sm%3AgovernanceFrame%20sm%3AhasGovernanceDomain%20%3Fdomain%20.%0A%20%20%20%20%3Fdomain%20schema%3Aname%20%3Fname%20.%0A%20%20%7D%0A%7D%0AORDER%20BY%20%3Fname&format=text%2Fx-html%2Btr&timeout=0&debug=on&run=+Run+Query+)

```sparql
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](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23query-metrics)

Returns article metrics and values as executable representative data.

[Run live query](https://linkeddata.uriburner.com/sparql?default-graph-uri=&query=PREFIX%20sm%3A%20%3Chttps%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23%3E%0APREFIX%20schema%3A%20%3Chttp%3A%2F%2Fschema.org%2F%3E%0ASELECT%20%3Fmetric%20%3Fname%20%3Fvalue%20%3Funit%0AWHERE%20%7B%0A%20%20GRAPH%20%3Chttps%3A%2F%2Flinkeddata.uriburner.com%2FDAV%2Fdemos%2Fdaas%2Fgartner-data-analytics-london-gpt5-chat-1.ttl%3E%20%7B%0A%20%20%20%20%3Fmetric%20a%20sm%3AMetricObservation%20%3B%20schema%3Aname%20%3Fname%20%3B%20schema%3Avalue%20%3Fvalue%20%3B%20schema%3AunitText%20%3Funit%20.%0A%20%20%7D%0A%7D%0AORDER%20BY%20DESC%28%3Fvalue%29&format=text%2Fx-html%2Btr&timeout=0&debug=on&run=+Run+Query+)

```sparql
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)
```

## Glossary

- [Enterprise Context Layer](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23enterpriseContextLayer): A platform-independent layer of semantics, rules, ownership, operations, provenance, users, access, and assets that supports AI-ready work.
- [Knowledge graph](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23knowledgeGraphConcept): A graph of entities and relationships used to represent enterprise context and semantics.
- [Ontology](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23ontologyConcept): A formal model of classes and relationships used to make context explicit.
- [Semantic layer](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23semanticLayerConcept): A business-friendly semantic abstraction commonly used to start knowledge engineering for BI.
- [Data contract](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23dataContractConcept): A formal handshake between upstream operational governance and downstream analytical governance.
- [Policy as code](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23policyAsCodeConcept): Governance policies translated into enforceable code.
- [Iron-thread approach](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23ironThreadMethodology): A use-case-first methodology that builds minimum foundations while delivering value end-to-end.
- [Governance singularity](https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fjuansequeda.substack.com%2Fp%2Fgartner-data-and-analytics-london%23governanceSingularity): The convergence of data, AI, analytics, cybersecurity, MDM, decision, risk, and IT governance.

## Provenance

Generated with [kg-generator](https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/kg-generator) and [rdf-infographic-skill](https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill) in Codex desktop using GPT-5 Chat. Entity links resolve through URIBurner.