Training and modernisation of public administrations and services – SATDAP – Training of Public Administration (Q2913544): Difference between revisions
Jump to navigation
Jump to search
(Created claim: summary (P836): The Lab Bupi operation emerges as an accelerator of the process of knowledge of the territory, aiming to complement the declarative base information about the ownership and limits of buildings, dependent on the human component, by developing an indirect method of creating knowledge deduced from existing information, through an artificial intelligence solution, enabling a rationalisation of time and effort spent., translated_summary) |
(Removed claim: co-financing rate (P837): 85.0 percent, Removing co-finance rate from projects in portugal) |
||||||
| Property / co-financing rate | |||||||
| |||||||
| Property / co-financing rate: 85.0 percent / rank | |||||||
Revision as of 12:26, 14 September 2021
Project Q2913544 in Portugal
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Training and modernisation of public administrations and services – SATDAP – Training of Public Administration |
Project Q2913544 in Portugal |
Statements
254,646.16 Euro
0 references
1 January 2019
0 references
30 August 2020
0 references
INSTITUTO DOS REGISTOS E DO NOTARIADO, I.P.
0 references
Q3003795 (Deleted Item)
0 references
40°1'45.98"N, 8°23'24.86"W
0 references
A operação Lab BUPi surge como um acelerador do processo do conhecimento do território, visando complementar a informação de base declarativa sobre a titularidade e limites dos prédios, dependentes da componente humana, ao desenvolver um método indireto de criação de conhecimento deduzido a partir de informação existente, através de uma solução de inteligência artificial, possibilitando uma racionalização do tempo e esforço despendidos. (Portuguese)
0 references
The Lab Bupi operation emerges as an accelerator of the process of knowledge of the territory, aiming to complement the declarative base information about the ownership and limits of buildings, dependent on the human component, by developing an indirect method of creating knowledge deduced from existing information, through an artificial intelligence solution, enabling a rationalisation of time and effort spent. (English)
8 July 2021
0 references
Penela
0 references
Identifiers
POCI-05-5762-FSE-000218
0 references