ASM SMART DATE SYSTEM (ASM SDS) — RESEARCH INTO THE SYSTEM FOR COLLECTING, PROCESSING AND DISTRIBUTING DATA USING MACHINE LEARNING ALGORITHMS FOR THE MODERNISATION OF IMPLEMENTATION AND MANAGEMENT PROCESSES AND FOR THE IMPLEMENTATION OF NEW AND SUBSTANTIALLY IMPROVED RESEARCH PRODUCTS AND SERVICES IN ASM-CENTRUM RESEARCH AND MARKET ANALYSES. Z O.O. (Q101129): Difference between revisions
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(Removed claim: summary (P836): The project aims to carry out industrial research and experimental development to use innovative process innovation through a hybrid data analytics system — ASM SDS — an inclusive AI algorithm at the level of machine learning (neural network) with a multi-dimensional, dynamic internal and external data warehouse. The main objective of the project is to improve the efficiency of data collection and processing in ASM by developing and implementi...) |
(Created claim: summary (P836): The subject of the project is to conduct industrial research and experimental development work to implement process innovation consisting of the use of an innovative hybrid data analysis system – ASM SDS – integrating algorithms of artificial intelligence at machine learning level (neural network) with a multidimensional dynamic data warehouse from internal and external sources. The main objective of the project is to improve the efficiency of d...) |
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The subject of the project is to conduct industrial research and experimental development work to implement process innovation consisting of the use of an innovative hybrid data analysis system – ASM SDS – integrating algorithms of artificial intelligence at machine learning level (neural network) with a multidimensional dynamic data warehouse from internal and external sources. The main objective of the project is to improve the efficiency of data collection and processing processes in ASM by developing and implementing as a result of R & D work a hybrid data analysis system – ASM SDS – automating and optimising operational processes (sales, design, implementation and quality control of research services, maintenance of customer relations, etc.) and management processes (strategic planning, resource management, controling, etc.) in ASM. The project will carry out the following tasks constituting R & D work: • Optimisation of Data Wholesale architecture dedicated to ASM SDS • Selection and optimisation of analytical methods dedicated to ASM SDS • Research and optimisation of the ASM SDS prototype in laboratory conditions • Testing of the prototype ASM SDS under real conditions The project will lead to the following product indicators: • Number of enterprises receiving support (CI01): 1 pcs • Number of enterprises receiving grants (CI02): 1 pcs • Private investments complementing public support to enterprises (grants)(CI06): 975 132,00 PLN • Number of enterprises cooperating with research centres (CI26): 1 pcs • Number of enterprises supported by R & D activities: 1 pcs • Number of R & D works carried out: 1 pcs • Number of R & D projects implemented: 1 pcs ASM SDS will act as a self-improved tool for organising comprehensive customer support through on-line tools dedicated to monitoring current client needs (English) | |||||||||||||||
| Property / summary: The subject of the project is to conduct industrial research and experimental development work to implement process innovation consisting of the use of an innovative hybrid data analysis system – ASM SDS – integrating algorithms of artificial intelligence at machine learning level (neural network) with a multidimensional dynamic data warehouse from internal and external sources. The main objective of the project is to improve the efficiency of data collection and processing processes in ASM by developing and implementing as a result of R & D work a hybrid data analysis system – ASM SDS – automating and optimising operational processes (sales, design, implementation and quality control of research services, maintenance of customer relations, etc.) and management processes (strategic planning, resource management, controling, etc.) in ASM. The project will carry out the following tasks constituting R & D work: • Optimisation of Data Wholesale architecture dedicated to ASM SDS • Selection and optimisation of analytical methods dedicated to ASM SDS • Research and optimisation of the ASM SDS prototype in laboratory conditions • Testing of the prototype ASM SDS under real conditions The project will lead to the following product indicators: • Number of enterprises receiving support (CI01): 1 pcs • Number of enterprises receiving grants (CI02): 1 pcs • Private investments complementing public support to enterprises (grants)(CI06): 975 132,00 PLN • Number of enterprises cooperating with research centres (CI26): 1 pcs • Number of enterprises supported by R & D activities: 1 pcs • Number of R & D works carried out: 1 pcs • Number of R & D projects implemented: 1 pcs ASM SDS will act as a self-improved tool for organising comprehensive customer support through on-line tools dedicated to monitoring current client needs (English) / rank | |||||||||||||||
Normal rank | |||||||||||||||
| Property / summary: The subject of the project is to conduct industrial research and experimental development work to implement process innovation consisting of the use of an innovative hybrid data analysis system – ASM SDS – integrating algorithms of artificial intelligence at machine learning level (neural network) with a multidimensional dynamic data warehouse from internal and external sources. The main objective of the project is to improve the efficiency of data collection and processing processes in ASM by developing and implementing as a result of R & D work a hybrid data analysis system – ASM SDS – automating and optimising operational processes (sales, design, implementation and quality control of research services, maintenance of customer relations, etc.) and management processes (strategic planning, resource management, controling, etc.) in ASM. The project will carry out the following tasks constituting R & D work: • Optimisation of Data Wholesale architecture dedicated to ASM SDS • Selection and optimisation of analytical methods dedicated to ASM SDS • Research and optimisation of the ASM SDS prototype in laboratory conditions • Testing of the prototype ASM SDS under real conditions The project will lead to the following product indicators: • Number of enterprises receiving support (CI01): 1 pcs • Number of enterprises receiving grants (CI02): 1 pcs • Private investments complementing public support to enterprises (grants)(CI06): 975 132,00 PLN • Number of enterprises cooperating with research centres (CI26): 1 pcs • Number of enterprises supported by R & D activities: 1 pcs • Number of R & D works carried out: 1 pcs • Number of R & D projects implemented: 1 pcs ASM SDS will act as a self-improved tool for organising comprehensive customer support through on-line tools dedicated to monitoring current client needs (English) / qualifier | |||||||||||||||
point in time: 16 October 2020
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Revision as of 00:11, 16 October 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | ASM SMART DATE SYSTEM (ASM SDS) — RESEARCH INTO THE SYSTEM FOR COLLECTING, PROCESSING AND DISTRIBUTING DATA USING MACHINE LEARNING ALGORITHMS FOR THE MODERNISATION OF IMPLEMENTATION AND MANAGEMENT PROCESSES AND FOR THE IMPLEMENTATION OF NEW AND SUBSTANTIALLY IMPROVED RESEARCH PRODUCTS AND SERVICES IN ASM-CENTRUM RESEARCH AND MARKET ANALYSES. Z O.O. |
Project in Poland financed by DG Regio |
Statements
3,691,395.0 zloty
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5,026,050.0 zloty
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73.45 percent
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1 November 2018
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30 October 2021
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ASM-CENTRUM BADAŃ I ANALIZ RYNKU SP. Z O.O.
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52°13'19.2"N, 19°23'15.4"E
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Przedmiotem projektu jest przeprowadzenie badań przemysłowych i eksperymentalnych prac rozwojowych służących wdrożeniu innowacji procesowej polegającej na wykorzystaniu innowacyjnego hybrydowego systemu analizy danych – ASM SDS - integrującego algorytmy sztucznej inteligencji na poziomie uczenia maszynowego (sieć neuronową) z wielowymiarową dynamiczną hurtownią danych ze źródeł wewnętrznych i zewnętrznych. Głównym celem projektu jest poprawa efektywności procesów gromadzenia i przetwarzania danych w ASM poprzez opracowanie i wdrożenie w wyniku prac B+R autorskiego hybrydowego systemu analizy danych - ASM SDS - automatyzującego i optymalizującego procesy operacyjne (sprzedaż, projektowanie, realizacja i kontrola jakości usług badawczych, utrzymanie relacji z klientem etc.) oraz procesy zarządcze (planowanie strategiczne, zarządzanie zasobami, controling etc.) w ASM. W ramach projektu zrealizowane zostaną następujące zadania stanowiące prace B+R: • Optymalizacja architektury Hurtowni Danych dedykowanej dla ASM SDS • Dobór i optymalizacja metod analitycznych dedykowanych dla ASM SDS • Badania i optymalizacja prototypu ASM SDS w warunkach laboratoryjnych • Badania prototypu ASM SDS w warunkach rzeczywistych Realizacja projektu doprowadzi do osiągnięcia następujących wskaźników produktu: • Liczba przedsiębiorstw otrzymujących wsparcie (CI01): 1 szt. • Liczba przedsiębiorstw otrzymujących dotacje (CI02): 1 szt. • Inwestycje prywatne uzupełniające wsparcie publiczne dla przedsiębiorstw (dotacje)(CI06): 975 132,00 PLN • Liczba przedsiębiorstw współpracujących z ośrodkami badawczymi (CI26): 1 szt. • Liczba przedsiębiorstw wspartych w zakresie prowadzenia prac B + R: 1 szt. • Liczba realizowanych prac B + R: 1 szt. • Liczba realizowanych projektów B + R: 1 szt. ASM SDS będzie działało jako samodoskonalące się narzędzie służące do organizacji kompleksowej samoobsługi klienta poprzez narzędzia on-line dedykowane dla monitorowania aktualnych potrzeb kli (Polish)
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The subject of the project is to conduct industrial research and experimental development work to implement process innovation consisting of the use of an innovative hybrid data analysis system – ASM SDS – integrating algorithms of artificial intelligence at machine learning level (neural network) with a multidimensional dynamic data warehouse from internal and external sources. The main objective of the project is to improve the efficiency of data collection and processing processes in ASM by developing and implementing as a result of R & D work a hybrid data analysis system – ASM SDS – automating and optimising operational processes (sales, design, implementation and quality control of research services, maintenance of customer relations, etc.) and management processes (strategic planning, resource management, controling, etc.) in ASM. The project will carry out the following tasks constituting R & D work: • Optimisation of Data Wholesale architecture dedicated to ASM SDS • Selection and optimisation of analytical methods dedicated to ASM SDS • Research and optimisation of the ASM SDS prototype in laboratory conditions • Testing of the prototype ASM SDS under real conditions The project will lead to the following product indicators: • Number of enterprises receiving support (CI01): 1 pcs • Number of enterprises receiving grants (CI02): 1 pcs • Private investments complementing public support to enterprises (grants)(CI06): 975 132,00 PLN • Number of enterprises cooperating with research centres (CI26): 1 pcs • Number of enterprises supported by R & D activities: 1 pcs • Number of R & D works carried out: 1 pcs • Number of R & D projects implemented: 1 pcs ASM SDS will act as a self-improved tool for organising comprehensive customer support through on-line tools dedicated to monitoring current client needs (English)
16 October 2020
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Identifiers
RPLD.01.02.02-10-0022/18
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