Model Drift
Human View is the term as people read it. Machine View is exactly what an AI agent receives.
This is the page you're already on. The Human View toggle above shows it in full.
This is exactly what an AI agent receives. The same record, as JSON-LD, below.
Use this record in your app or agent
di get-glossary --slug model-drift
GET https://api.decisioninsights.ai/api/public/v1/glossary/4683d71e-f115-4bcb-aa1e-a20ced3548c3
curl -X POST https://mcp.decisioninsights.ai/api/mcp-public \
-H "content-type: application/json" \
-H "accept: application/json, text/event-stream" \
-d '{"id":1,"jsonrpc":"2.0","method":"tools/call","params":{"arguments":{"slug":"model-drift"},"name":"di_get_term"}}'
The CLI command and the REST call for this record need a free account: run di login, or send your OAuth token. Over MCP it is free with none.
A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.
This is what the machine sees: the exact JSON-LD an agent receives for this listing.
{
"@context": "https://schema.org",
"@id": "https://decisioninsights.ai/term/model-drift/#definedterm",
"@type": "DefinedTerm",
"additionalProperty": [
{
"@type": "PropertyValue",
"name": "Related terms",
"valueReference": [
{
"@id": "https://decisioninsights.ai/term/model-drift-detection/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/model-drift-detection/",
"name": "Model Drift Detection"
},
{
"@id": "https://decisioninsights.ai/term/data-drift-detection/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/data-drift-detection/",
"name": "Data Drift Detection"
},
{
"@id": "https://decisioninsights.ai/term/data-drift/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/data-drift/",
"name": "Data Drift"
},
{
"@id": "https://decisioninsights.ai/term/model-deployment/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/model-deployment/",
"name": "Model Deployment"
},
{
"@id": "https://decisioninsights.ai/term/model-overfitting/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/model-overfitting/",
"name": "Model Overfitting"
},
{
"@id": "https://decisioninsights.ai/term/model-monitoring/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/model-monitoring/",
"name": "Model Monitoring"
},
{
"@id": "https://decisioninsights.ai/term/automated-model-deployment-amd/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/automated-model-deployment-amd/",
"name": "Automated Model Deployment"
},
{
"@id": "https://decisioninsights.ai/term/model-retraining/#definedterm",
"@type": "DefinedTerm",
"mainEntityOfPage": "https://decisioninsights.ai/term/model-retraining/",
"name": "Model Retraining"
}
]
}
],
"description": "Model drift is the degradation of a deployed machine learning model’s performance over time as data distributions or input–output relationships change. It matters in enterprise settings because unmanaged drift introduces model risk, operational errors, and compliance concerns in production decision systems.",
"inDefinedTermSet": {
"@id": "https://decisioninsights.ai/term/#termset",
"@type": "DefinedTermSet",
"url": "https://decisioninsights.ai/term/"
},
"name": "Model Drift",
"url": "https://decisioninsights.ai/term/model-drift/"
}
{
"@context": "https://schema.org",
"@id": "https://decisioninsights.ai/#website",
"@type": "WebSite",
"name": "Decision Insights",
"potentialAction": {
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"target": {
"@type": "EntryPoint",
"urlTemplate": "https://decisioninsights.ai/search/?q={search_term_string}\u0026submit=1"
}
},
"publisher": {
"@id": "https://decisioninsights.ai/#organization"
},
"url": "https://decisioninsights.ai"
}
{
"@context": "https://schema.org",
"@id": "https://decisioninsights.ai/#organization",
"@type": "Organization",
"contactPoint": {
"@type": "ContactPoint",
"contactType": "customer support",
"email": "[email protected]"
},
"description": "Decision Insights is a Registry of technology companies, open source projects, and industry terms, built for people and for AI agents that need sourced, structured information.",
"logo": {
"@type": "ImageObject",
"url": "https://wiretap-cdn-assets.nyc3.cdn.digitaloceanspaces.com/decision-insights/[email protected]"
},
"name": "Decision Insights",
"parentOrganization": {
"@type": "Organization",
"name": "Wiretap Labs",
"sameAs": [
"https://www.linkedin.com/company/wiretap-labs",
"https://www.crunchbase.com/organization/wiretap-labs"
],
"url": "https://wiretaplabs.com"
},
"publishingPrinciples": "https://decisioninsights.ai/standards/",
"sameAs": [
"https://www.linkedin.com/company/decisioninsights"
],
"url": "https://decisioninsights.ai"
}
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
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"name": "Decision Insights",
"position": 1
},
{
"@type": "ListItem",
"item": "https://decisioninsights.ai/term/",
"name": "Glossary",
"position": 2
},
{
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"item": "https://decisioninsights.ai/term/model-drift/",
"name": "Model Drift",
"position": 3
}
]
}
{
"@context": "https://schema.org",
"@id": "https://decisioninsights.ai/term/model-drift/",
"@type": "CollectionPage",
"dateModified": "2026-08-24T03:24:31Z",
"description": "Model drift is the degradation of a deployed machine learning model’s performance over time as data distributions or input–output relationships change. It matters in enterprise settings because unmanaged drift introduces model risk, operational errors, and compliance concerns in production decision systems.",
"isPartOf": {
"@id": "https://decisioninsights.ai/#website"
},
"mainEntity": {
"@id": "https://decisioninsights.ai/term/model-drift/#definedterm"
},
"name": "Model Drift",
"sdDatePublished": "2026-08-24",
"sdPublisher": {
"@id": "https://decisioninsights.ai/#organization"
},
"url": "https://decisioninsights.ai/term/model-drift/"
}
Counted facts
A dictionary definition doesn't say how often a term is actually used. This counts it across the graph -- articles that mention it, open source projects tagged with it, and the organizations tagged with it, listed here alongside the count. A term has no peer companies, and nothing here claims otherwise.