AquaData: how to improve operational efficiency with the use of Artificial Intelligence

The general objective of the TC is to improve the overall quality of water services (and, ultimately, the quality of life of users), by increasing operational efficiency and minimizing commercial losses of operators through the application of Machine Learning.

Project Detail

Country

Regional

Project Number

RG-T4632

Approval Date

November 8, 2024

Project Status

Implementation

Project Type

Technical Cooperation

Sector

WATER AND SANITATION

Subsector

WATER SUPPLY URBAN

Lending Instrument

Lending Instrument Code

Modality

Facility Type

Environmental and Social Impact Category (ESIC)

Total Cost

USD 180,000.00

Country Counterpart Financing

Original Amount Approved

USD 180,000.00

Financial Information

Operation Number	Lending Type	Reporting Currency	Reporting Date	Signed Date	Fund	Financial Instrument
ATN/OC-21241-RG	Sovereign Guaranteed	USD - United States Dollar	Mar. 12, 2025	Nov. 8, 2024	Ordinary Capital	Nonreimbursable

Operation Number

ATN/OC-21241-RG

Lending Type: Sovereign Guaranteed
Reporting Currency: USD - United States Dollar
Reporting Date: Mar. 12, 2025
Signed Date: Nov. 8, 2024
Fund: Ordinary Capital
Financial Instrument: Nonreimbursable

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Implementation Phase

https://www.iadb.org/document.cfm?id=EZIDB0002789-507593931-28

TC Document

Documento de CT - Divulgacion_84726.pdf

Nov. 08, 2024

Spanish