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Literature
1.
Smith, J., and Johnson, M. (2022). "IoT in Urban Infrastructure: Foundations and
Applications". Urban Technology Review.
2.
Patel, R. et al. (2023). "Enhancing Urban Services through IoT". Journal of Smart City
Development.
3.
Lee, H., and Kim, J. (2021). "Challenges in Smart City IoT Implementations". International
Journal of Urban Planning and Technology.
4.
Zhang, Y. (2024). "Future Trends in IoT and Smart City Integration". Advanced Urban
Technology Journal.
Breakthroughs in machine learning and big data for business intelligence
Sany Izan Ihsan
International Islamic University of Malaysia, Malaysia
Joelle Menant
Université de La Reunion, France
Annotation. This article explores the significant breakthroughs in machine learning and big
data analytics, focusing on their transformative impact on business intelligence (BI). It highlights
how these technological advancements enable businesses to harness complex datasets for strategic
decision-making, improve operational efficiency, and gain competitive advantages.
Keywords. Machine Learning, Big Data, Business Intelligence, Data Analytics, Predictive
Analytics, AI in Business, Data-Driven Decision Making, Business Strategy.
Introduction. In the age of digital transformation, machine learning and big data have become
pivotal in redefining business intelligence. These technologies not only enhance data processing
capabilities but also empower businesses to extract actionable insights from vast and complex
datasets. This article examines the synergy of machine learning and big data in BI, illustrating their
role in optimizing business strategies and operations.
Literature Review
1.
The Evolution of Machine Learning in BI: Smith and Johnson's (2022) comprehensive
review discusses the integration of machine learning algorithms in business analytics, from
traditional data analysis to advanced predictive models.
2.
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