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ExampleGuidancev1.0.0

Satellite network allocating bandwidth with a predictive model

A satellite operator allocates power and bandwidth across transponders using a machine learning model that predicts network traffic, because classical optimisation struggles with demand that varies sharply by region and by moment. Performance is comparable to established methods in the field.

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Address and citation

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Identifier
praxikon:eu:ai-act:example:example-satelliet-bandbreedte-optimalisatie
Payload hash (sha256)
c13bb70063151ac3ad4847947b5b89b85d779d944fc5b7163cc39d4fbd181e66

Citation line

Praxikon, "Satellite network allocating bandwidth with a predictive model", praxikon:eu:ai-act:example:example-satelliet-bandbreedte-optimalisatie@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-14T00:00:00.000Z, sha256 c13bb70063151ac3ad4847947b5b89b85d779d944fc5b7163cc39d4fbd181e66
Version
1.0.0
Legal time (effective_at)
8 August 2026
Knowledge time (known_at)
8 August 2026
Closed on
Not closed
Topics
examples

Review status: Placed against the official source (8 August 2026). Next check due by 4 February 2027. The check date is the knowledge date of this version; no later recheck has been recorded.

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    • Guidelines on the definition of an AI system, C(2025) 5053 final

      Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)

      praxikon:eu:ai-act:source:commission-ai-system-definition-guidelines

      Open official source

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  1. Source

    Official fact on this object, with its locator.

    • Guidelines on the definition of an AI system, C(2025) 5053 final

      Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)

      praxikon:eu:ai-act:source:commission-ai-system-definition-guidelines

      Open official source

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  • The Commission guidelines on the definition of an AI system use this case to draw the line between software that does and does not fall under the regulation. The document is non-binding.

    • Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)praxikon:eu:ai-act:source:commission-ai-system-definition-guidelinesOpen official source

Our interpretation

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  • Automatic self-adjustment need not bring your system within the definition where it mainly improves computational performance, although the guidelines say only that such systems may be excluded under those conditions.

    • Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)praxikon:eu:ai-act:source:commission-ai-system-definition-guidelinesOpen official source

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Referring to this object

Citation block

Copy this reference into your advice, article or file. The identifier, the version and the hash keep the statement findable later, even once the dataset has moved on.

Reference

Praxikon, "Satellite network allocating bandwidth with a predictive model",
praxikon:eu:ai-act:example:example-satelliet-bandbreedte-optimalisatie@1.0.0,
dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0),
effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z,
sha256 c13bb70063151ac3ad4847947b5b89b85d779d944fc5b7163cc39d4fbd181e66,
https://www.praxikon.com/en/verkenner/example/example-satelliet-bandbreedte-optimalisatie
(https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-satelliet-bandbreedte-optimalisatie&effective_at=2026-08-08&known_at=2026-08-08&lang=en, accessed 2026-08-25)

Short form

praxikon:eu:ai-act:example:example-satelliet-bandbreedte-optimalisatie@1.0.0 (sha256 c13bb700)

BibTeX

@misc{praxikon-eu-ai-act-example-example-satelliet-bandbreedte-optimalisatie-1-0-0,
  author       = {{Praxikon}},
  title        = {Satellite network allocating bandwidth with a predictive model},
  year         = {2026},
  version      = {1.0.0},
  number       = {praxikon:eu:ai-act:example:example-satelliet-bandbreedte-optimalisatie},
  howpublished = {AI Act Change \& Evidence Graph, dataset 2.1.0, schema 1.4.0},
  note         = {effective_at 2026-08-08T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 c13bb70063151ac3ad4847947b5b89b85d779d944fc5b7163cc39d4fbd181e66},
  url          = {https://www.praxikon.com/en/verkenner/example/example-satelliet-bandbreedte-optimalisatie},
  urldate      = {2026-08-25},
  language     = {en}
}

CSL JSON

[
  {
    "id": "praxikon:eu:ai-act:example:example-satelliet-bandbreedte-optimalisatie@1.0.0",
    "type": "dataset",
    "title": "Satellite network allocating bandwidth with a predictive model",
    "container-title": "AI Act Change & Evidence Graph",
    "publisher": "Praxikon",
    "version": "1.0.0",
    "number": "praxikon:eu:ai-act:example:example-satelliet-bandbreedte-optimalisatie",
    "URL": "https://www.praxikon.com/en/verkenner/example/example-satelliet-bandbreedte-optimalisatie",
    "language": "en",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          8
        ]
      ]
    },
    "accessed": {
      "date-parts": [
        [
          2026,
          8,
          25
        ]
      ]
    },
    "note": "dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0; schema 1.4.0; effective_at 2026-08-08T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 c13bb70063151ac3ad4847947b5b89b85d779d944fc5b7163cc39d4fbd181e66; retrieved_from https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-satelliet-bandbreedte-optimalisatie&effective_at=2026-08-08&known_at=2026-08-08&lang=en; licence https://www.praxikon.com/nl/legal/terms"
  }
]

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