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An analysis of the opportunities and challenges connected with Big Data

100%
Wielki J.
Zarządzanie i Finanse
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2013
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vol. 3
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issue 1
54-69
EN
This paper is devoted to the analysis of the Big Data phenomenon and the opportunities and challenges connected with it. It is composed of seven parts. In the first, a general overview of the situation related to the transformation of the economy from the industrial into the post-industrial one is given. In this context, the growing role of data and information as well as the rapid increase in the new socio-economic realities and the notion of Big Data are discussed. In the next section, the notion of Big Data is defined and the main sources of growth of data are characterized. In the following part of the paper the most significant opportunities and possibilities linked with Big Data are presented and discussed. The next part is devoted to the characterization of tools, techniques and the most useful data in the context of Big Data initiatives. In the following part of the paper the success factors of Big Data initiatives are analyzed. The penultimate part of the paper is focused on the analysis of the most important problems and challenges connected with Big Data. In the final part of the paper, the most significant conclusions and suggestions are offered.
2
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System III platformy jako kolejny etap rozwoju systemów informatycznych wspierających przedsiębiorstwo

88%
Sitarska-Buba M.
Informatyka Ekonomiczna
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2017
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issue 3(45)
92-108
3
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ΑΝΑΛΥΣΙΣ ΠΕΡΙ ΤΑ ΣΧΗΜΑΤΑ Restoring Aristotle’s Lost Diagrams of the Syllogistic Figures

88%
Wesoły M.
Peitho. Examina Antiqua
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2012
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vol. 3
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issue 1
83-114
EN
The article examines the relevance of Aristotle’s analysis that concerns the syllogistic figures. On the assumption that Aristotle’s analytics was inspired by the method of geometric analysis, we show how Aristotle used the three terms (letters), when he formulated the three syllogistic figures. So far it has not been appropriately recognized that the three terms - the major, the middle and the minor one - were viewed by Aristotle syntactically and predicatively in the form of diagrams. Many scholars have misunderstood Aristotle in that in the second and third figure the middle term is outside and that in the second figure the major term is next to the middle one, whereas in the third figure it is further from it. By means of diagrams, we have elucidated how this perfectly accords with Aristotle's planar and graphic arrangement. In the light of these diagrams, one can appropriately capture the definition of syllogism as a predicative set of terms. Irrespective of the tricky question concerning the abbreviations that Aristotle himself used with reference to these types of predication, the reconstructed figures allow us better to comprehend the reductions of syllogism to the first figure. We assume that the figures of syllogism are analogous to the figures of categorical predication, i.e., they are specific syntactic and semantic models. Aristotle demanded certain logical and methodological competence within analytics, which reflects his great commitment and contribution to the field.
4
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Business intelligence w zarządzaniu edukacją akademicką

75%
MURYJAS P.
Edukacja-Technika-Informatyka
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2014
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vol. 5
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issue 1
450-455
PL
Współczesny rynek edukacji akademickiej staje się coraz bardziej konkurencyjny, co sprawia, że władze uczelni zmuszone są do konstruowania takiej oferty kształcenia, która możliwie najlepiej zaspokaja wymagania studentów i potrzeby ich przyszłych pracodawców. W artykule zaprezentowano ideę analitycznego podejścia w ocenie edukacji akademickiej i wykazano użyteczność business intelligence (BI) w podejmowaniu decyzji w tej dziedzinie. Wskazano także korzyści, jakie przyniesie wdroZenie rozwiązań BI w instytucjach szkolnictwa wyższego w obszarze rekrutacji studentów, ich edukacji oraz monitorowania losów absolwentów.
EN
The contemporary higher education market becomes more and more competitive. In these conditions the university authorities are forced to create such educational offers, which meet in the best way the students’ requirements and needs of their future employers. The paper demonstrates the usability of business intelligence (BI) tools to analyze higher education (HE) and to support decision making in this area. The benefits of their deployment in students' recruitment and their education as well as in monitoring the graduate employment have been presented.
5
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The Analytical Perspective of Aristotle’s Categorical and Modal Syllogisms

75%
Wesoły M. A.
Peitho. Examina Antiqua
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2018
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vol. 9
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issue 1
71-99
EN
What is meant under the genuine title of Aristotle’s ta Analytika is rarely properly understood. Presumably, his analytics was inspired by the method of geometric analysis. For Aristotle, this was a regressive or heuristic procedure, departing from a proposed conclusion (or prob­lem) and asking which premises could be found in order to syllogize, demonstrate or explain it. The terms that form categorical and modal propositions play a fundamental role in analytics. Aristotle introduces letters in lieu of the triples of terms (major – middle – minor) constitut­ing the propositions and the three syllogistic figures that schematize them. His formulation of the three syllogistic figures refers to a syntacti­cal and predicative order and position of the triples of terms, arranged in some diagrammed schemata, which, regrettably, are missing from the extant text of the Prior Analytics. Considering planar and graphic arrangements, both vertical and horizontal orders as well as the posi­tion of the three terms involved, we propose a reconstruction, at least to some extent, of these probable lettered diagrams. In such reconstructed diagrams, we can appropriately capture the definition of syllogism as a predicative connexion of terms, and easier survey a synoptic account of all valid predicative relations and transpositions, and also reduce the imperfect syllogisms into the moods of the first figure. Aristotle’s syllogistic is an analytical calculation of terms, understood as predicates and subjects within the categorical propositions, and more precisely of three terms schematized in three figures in predicative links such that, by means of a middle, follows from necessity a conclusion of the extreme terms. The necessity of the consequence is not based on the implication or inference of the propositions, but on a predictive transi­tivity through the middle term within the syllogistic figures. Syllogism must draw its conclusion through the way its terms are predicated of one another. Aristotle in his Prior Analytics (I 3, 8–22) developed also a complex account of modal syllogisms within necessity and possibility of belonging (predicating). This account involves also such an analyti­cal reduction to the syllogistic figures. In this analytical perspective, we try to throw some light on his modal syllogisms, although this difficult and nowadays thoroughly discussed topic would require a much wider treatment.
6
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Applying emerging data-driven technologies in social security. Country experiences and ISSA guidelines

63%
Ruggia-Frick R.
Ubezpieczenia Społeczne. Teoria i praktyka
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2021
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issue 4
31-49
PL
Zastosowanie technologii informacyjno-komunikacyjnych (information and communication technologies, ICT) umożliwia wprowadzanie coraz bardziej wszechstronnych systemów zabezpieczenia społecznego na całym świecie, jak również transformację usług z tego obszaru. W szczególności tzw. innowacje oparte na wykorzystaniu danych umożliwiają instytucjom zabezpieczenia społecznego ulepszanie swoich produktów, procesów oraz metod organizacji. Podążając tą drogą, instytucje te stopniowo wprowadzają nowoczesne technologie, takie jak analityka, big data oraz sztuczna inteligencja. Podczas gdy połączenie analityki oraz big data pozwala na przeprowadzanie skomplikowanych analiz coraz obszerniejszych zbiorów danych, wykorzystanie sztucznej inteligencji umożliwia automatyzację procesów oraz wspomaga pracowników podczas zadań wymagających podjęcia decyzji przez człowieka. Stosowaniu takich nowych, opartych na wykorzystywaniu danych technologii towarzyszą jednakże liczne wyzwania, głównie w postaci trudności wynikających z połączenia takich nie w pełni przetestowanych technologii z wymaganym poziomem stabilności procesów operacyjnych oraz różnic w zastosowaniu procesów rozwojowych. Tekst ten omawia wyżej wymienione zagadnienia oraz przedstawia przegląd nowych technologii opartych na danych, a także ich obecne zastosowanie w instytucjach zabezpieczenia społecznego. Przedstawia on także opracowane przez Międzynarodowe Stowarzyszenie Zabezpieczenia Społecznego (International Security Systems Association, ISSA) wytyczne wspierające wykorzystywanie takich technologii w zabezpieczeniu społecznym.
EN
The application of ICT (information and communication technologies) is enabling the implementation of increasingly comprehensive social security systems throughout the world as well as the transformation of social security services. In particular, the so-called data-driven innovation enables social security institutions to improve products, processes and organisational methods. In this line, social security institutions are progressively applying emerging technologies, such as Analytics, Big Data, and Artificial Intelligence. While the pairing of analytics and big data allows for the performing of sophisticated analyses on increasingly large databases, Artificial Intelligence enables for automating processes and assisting staff in tasks requiring human decisions. However, the application of such emerging data-driven technologies brings with it many challenges, mainly the complexities of combining the adoption of not fully tested technologies with the required stability of critical operational processes and differences in the application of development processes. This paper addresses these issues and presents an overview of emerging data-driven technologies and their current application in social security institutions. It also presents guidelines supporting the application of data-driven technologies in social security developed by the International Social Security Association (ISSA).
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