Pregled bibliografske jedinice broj: 923026
A neural networks portable and Agnostic Implementation Environment for Business Transformation Projects the framework
A neural networks portable and Agnostic Implementation Environment for Business Transformation Projects the framework // 2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
Annacy,: Institute of Electrical and Electronics Engineers (IEEE), 2017. str. 159-164 doi:10.1109/CIVEMSA.2017.7995319 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 923026 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A neural networks portable and Agnostic Implementation Environment for Business Transformation Projects the framework
Autori
Trad, Antoine ; Kalpić, Damir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
/ - Annacy, : Institute of Electrical and Electronics Engineers (IEEE), 2017, 159-164
Skup
2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
Mjesto i datum
Annecy, Francuska, 26.06.2017. - 28.06.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Computer architecture, Decision making, Neural networks, Companies, Project management, Training
Sažetak
For the optimal AIE, BTMs need a specific set of skills or educational curriculum for the management of the needed transformation framework and AIE's integration for the very difficult BTP's implementation phase [1]. The Framework uses Critical Success Factors (CSF) that are fed in the form of configuration items into the neural networks based Decision making (Dm) module, in order to deliver the optimal BTP recommendations, in the form of applicable solutions [2] [3]. The Dm's applied reasoning is in fact based on a mixed method, which delivers the most important BTPs solutions and recommendations [5]. The authors took into account that BTPs' technical implementation phase is the major cause for high failure rates ; that is why the BTMs need tools supported empirical hands-on skills. These skills should encompass the knowledge of: a) enterprise architecture ; b) neural networks decision making ; c) business engineering ; d) extreme and agile project management ; e) just- in-time enterprise application integration ; f) organizational behaviour ; g) management science methodologies ; h) enterprise architecture ; i) business architecture ; j) modelling and integration ; k) test/design driven development ; and k) other concrete BTP implementation phase's architectural know-how artefacts. Therefore the researchers recommend a technocrat's profile as the base-profile for such BTMs ; where the base-profile needs to be complemented with cross-functional skills [6] [7]. Fig. 1:
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Damir Kalpić
(autor)