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Wyszukujesz frazę "big data technology," wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Descriptive representation about transformation of company by using current technologies and tools for analytical processing and evaluation of diverse data
Autorzy:
Koman, G.
Holubčík, M.
Kubina, M.
Powiązania:
https://bibliotekanauki.pl/articles/108334.pdf
Data publikacji:
2018
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
big data technology,
data and information
decision-making
Industry 4.0
IoT
management
synergy
Opis:
Companies are currently producing and processing larger and larger amounts of data that they were not able to effectively process and subsequently use in the management of company processes in the past. There are several technologies and tools for the analytical processing and evaluation of diverse data, such as the Big Data technology. The Industry 4.0 concept (which is closely linked with the IoT) will bring an enormous growth of produced data into the company sphere. The information value of such data can signifi cantly affect managing and decision-making processes in a company. Here, we can see a synergy between man and technology where each influences the other. The purpose of this paper is to support the following statement: in the present business environment, we are facing the transformation of a company that, for efficient management and decision-making, needs: a) to capture and process all available data; b) to implement new tools into strategic decisions; and c) to integrate data through a single system. This article describes the possibilities of deploying the efficient use of new technologies (Big Data, Industry 4.0, and IoT) in management.
Źródło:
Managerial Economics; 2018, 19, 1; 89-101
1898-1143
Pojawia się w:
Managerial Economics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Small Farms as “Data Producers” for the Needs of Agricultural Management Information System
Autorzy:
Zysk, Elżbieta
Mroczkowski, Tomasz
Dawidowicz, Agnieszka
Powiązania:
https://bibliotekanauki.pl/articles/2105521.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
Agriculture Management Information System
agriculture
information technology
big data
precision agriculture
Opis:
In the face of current global threats, including the COVID-19 Pandemic, new technological solutions are needed. Globalization, progressing urbanization, the decreasing availability of cultivable land for food production, water contamination, flood risk and climate change, can all be viewed as potential threats to food safety. According to forecasts and trends, the future of both agricultural policy and agricultural innovation will be based on big data, data analytics and machine learning. Therefore, it is and will continue to be important to develop information systems dedicated to agricultural innovation and the management of food security challenges. The main aim of the study is a classification of data for a uniform AMIS from data from IREIS, GC and AIIS based on survey and expert interview data obtained. We propose to expand the range of data produced by small farmers while keeping in mind the protection of farmers and their rights and the possible benefits of the data provided. The literature recognizes the value of such data but it has not yet been legally regulated, protected, managed and, above all, properly used for agricultural and food security policy purposes. Therefore, we develop the idea of extended farmers’ participation in the production of agricultural activity data. The research used a survey questionnaire and expert interviews. A viable AIIS needs current data that farmers already produce as well as additional data needs which we identify in our research. We propose an architecture of databases and describe their flow in the Agriculture Management Information System (AMIS).
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 3; 79--109
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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