Search Results - subject:"Data Lake"

Implementing AIRM: A new AI recruiting model for the Saudi Arabia labour market

Aleisa, Monirah Ali; Beloff, Natalia; White, Martin - In: Journal of Innovation and Entrepreneurship 12 (2023) 1, pp. 1-41

). This paper aims to utilise cutting-edge technology such as Data Lake (DL), Machine Learning (ML) and Artificial …

Persistent link: https://www.econbiz.de/10014519674

Implementing AIRM : a new AI recruiting model for the Saudi Arabia labour market

Aleisa, Monirah Ali; Beloff, Natalia; White, Martin - In: Journal of innovation and entrepreneurship : JIE 12 (2023), pp. 1-41

). This paper aims to utilise cutting-edge technology such as Data Lake (DL), Machine Learning (ML) and Artificial …

Persistent link: https://www.econbiz.de/10014496912

A proposal for a multi-domain data fusion strategy in a climate-smart agriculture context

López, Iván Darío; Grass, José Fernando; Figueroa, … - In: International transactions in operational research : a … 30 (2023) 4, pp. 2049-2070

Persistent link: https://www.econbiz.de/10014258980

Data ownership revisited : clarifying data accountabilities in times of big data and analytics

Fadler, Martin; Legner, Christine - In: Journal of business analytics 5 (2022) 1, pp. 123-139

Persistent link: https://www.econbiz.de/10013270538

Managerial and Entrepreneurial Decision Making: Emerging Issues

Cristofaro, Matteo (contributor); … - 2021

Since the conceptualization of bounded rationality, management scholars started investigating how people-managers and entrepreneurs-really make decisions within (and for) organizations. The aim of this eBook is to deeply investigate trends that have flourished within this pivotal research area...

Persistent link: https://www.econbiz.de/10014323784

Managerial and entrepreneurial decision making : emerging issues

Cristofaro, Matteo (ed.); Sousa, Maria José (ed.); … - 2021

Since the conceptualization of bounded rationality, management scholars started investigating how people - managers and entrepreneurs - really make decisions within (and for) organizations. The aim of this eBook is to deeply investigate trends that have flourished within this pivotal research...

Persistent link: https://www.econbiz.de/10014230370

Trusted decision-making: Data governance for creating trust in data science decision outcomes

Brous, Paul; Janssen, Marijn - In: Administrative Sciences 10 (2020) 4, pp. 1-19

Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising...

Persistent link: https://www.econbiz.de/10012612211

Trusted decision-making : data governance for creating trust in data science decision outcomes

Brous, Paul; Janssen, Marijn - In: Administrative Sciences : open access journal 10 (2020) 4/81, pp. 1-19

Persistent link: https://www.econbiz.de/10012420981

Data Lake Architecture for a Banking Data Model

Golec, Darko - 2019

technologies are based on relational database engines, data consistency and high normalization, but in more recent period data lake … has become more and more interesting. Main advantages of the data lake landscape are commodity hardware, open source … technologies with cost-free software and elastic scalability. In this paper we will present how data lake can be used in addition …

Persistent link: https://www.econbiz.de/10012141484

Data lake architecture for a banking data model

Golec, Darko - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 5 (2019) 1, pp. 144-148

Persistent link: https://www.econbiz.de/10012227826