WO2025006538 - GENERATIVE AI SYSTEMS AND METHODS FOR ECONOMIC ANALYTICS AND FORECASTING
National phase entry is expected:
Publication Number
WO/2025/006538
Publication Date
02.01.2025
International Application No.
PCT/US2024/035527
International Filing Date
26.06.2024
Title **
[English]
GENERATIVE AI SYSTEMS AND METHODS FOR ECONOMIC ANALYTICS AND FORECASTING
[French]
SYSTÈMES ET PROCÉDÉS D'IA GÉNÉRATIVE D'ANALYSE ET DE PRÉVISION ÉCONOMIQUES
Applicants **
AIECONOMY LLC
2113 E Ranch Rd
Tempe, Arizona 85284, US
Inventors
MCCARSON, Brian
2113 E. Ranch Rd.
Tempe, AZ 85284, US
Priority Data
18/342,461
27.06.2023
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
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| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
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| Pages of Specification | * |
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International Searching Authority |
USPTO
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Translation |
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Recalculate
* The data is based on automatic recognition. Please verify and amend if necessary.
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing | 1385 | |
| EPO | Filing, Examination | 8334 | |
| Japan | Filing | 589 | |
| South Korea | Filing | 575 | |
| USA | Filing, Examination | 2280 |
Total: 13163 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
Generative Al systems and methods are provided to produce leading indicators of economic activity based on, for example, agricultural, fishing, mining, lumber harvesting, environmental, or ecological attributes and other factors determined from a range of available data sources. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode. Users may then subscribe to the date for the use in economic forecasting.[French]
L'invention concerne des systèmes et des procédés d'IA générative pour produire des indicateurs avancés d'activité économique sur la base, par exemple, d'attributs agricoles, de pêche, d'exploitation minière, de récolte de bois, environnementaux ou écologiques et d'autres facteurs déterminés à partir d'une gamme de sources de données disponibles. L'invention concerne également une structure de métadonnées sémantique cohérente ainsi qu'un système de génération et de test d'hypothèses pouvant générer des modèles d'analyse prédictive en mode non supervisé ou partiellement supervisé. Les utilisateurs peuvent ensuite s'abonner aux données pour les utiliser dans les prévisions économiques.