Leveraging artificial intelligence in business: Implications, applications and methods

A Sestino, A De Mauro - Technology Analysis & Strategic …, 2022 - Taylor & Francis
ABSTRACT The concept of Artificial Intelligence (AI) as a business-disruptive technology
has developed in academic and professional literature in a chaotic and unstructured …

Does big data enhance firm innovation competency? The mediating role of data-driven insights

M Ghasemaghaei, G Calic - Journal of Business Research, 2019 - Elsevier
Grounded in gestalt insight learning theory and organizational learning theory, we collected
data from 280 middle and top-level managers to investigate the impact of each big data …

Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence

M Paramesha, NL Rane, J Rane - Partners Universal Multidisciplinary …, 2024 - pumrj.com
During the fast progress of digital technologies, business intelligence (BI) has experienced a
significant change, leading to new chances for making data-informed decisions and gaining …

A framework of high-stakes algorithmic decision-making for the public sector developed through a case study of child-welfare

D Saxena, K Badillo-Urquiola, PJ Wisniewski… - Proceedings of the …, 2021 - dl.acm.org
Algorithms have permeated throughout civil government and society, where they are being
used to make high-stakes decisions about human lives. In this paper, we first develop a …

[PDF][PDF] A review: big data technologies with hadoop distributed filesystem and implementing M/R

RR Asaad, HB Ahmad, RI Ali - Academic Journal of …, 2020 - pdfs.semanticscholar.org
ABSTRACT Today Big Data, is any set of data that is larger than the capacity to be
processed using traditional database tools to capture, share, transfer, store, manage and …

The use of data-driven technologies for customer-centric marketing

MA Camilleri - International Journal of Big Data …, 2020 - inderscienceonline.com
The latest technologies are shifting how businesses capture, analyse and distribute data
from the individual users' online activity. Therefore, this contribution critically reviews the …

[图书][B] Consumer behaviour and analytics

A Smith - 2019 - taylorfrancis.com
Consumer Behaviour and Analytics provides a consumer behaviour textbook for the new
marketing reality. In a world of Big Data, machine learning and AI, this key text reviews the …

Smart Health: Advancements in Machine Learning and the Internet of Things Solutions

NR Vajjhala, P Eappen - … Learning and IoT Applications for Health …, 2024 - taylorfrancis.com
This chapter examines the transformative intersection of healthcare analytics, Machine
Learning (ML), and the Internet of Things (IoT), exploring how these state-of-the-art …

Predictive analytics in a higher education context

J Rajni, DB Malaya - IT Professional, 2015 - ieeexplore.ieee.org
Predictive analytics is the process of forecasting future courses of action by analyzing
historical and current facts. It's now a priority in many organizations because it can suggest …

[HTML][HTML] Big Data in mechanical research: Potentials, applications and challenges

Y Qiang, M Songhe, Z Zheng, XIE Weihua… - 力学进展, 2020 - lxjz.cstam.org.cn
Big Data has developed rapidly and made remarkable achievements. The unique thinking
and methodology of Big Data provide a new paradigm for scientific research. High spatial …