Namangan Institute of Engineering and Technology
nammti.uz
10.25.2023
Pg.429
3.
Challenges and Opportunities in Big Data and Machine Learning: A critical analysis by
Lee and Kim (2021) delves into the challenges businesses face in implementing these technologies,
including data privacy, security, and the skills gap.
4.
Future Trends in AI, Machine Learning, and BI: Zhang's (2024) research provides insights
into emerging trends in AI and machine learning that are set to shape the future of business
intelligence.
Sections of the Article
1.
Technological Advancements in Machine Learning for BI: This section covers the latest
advancements in machine learning technologies and their applications in business intelligence,
highlighting how they transform data analysis and interpretation.
2.
Utilizing Big Data in Business Strategy: An in-depth exploration of how big data is
leveraged for strategic business decision-making, including examples of successful big data
initiatives in various industries.
3.
The Convergence of Big Data and Machine Learning in BI: Discussion on the convergence
of big data and machine learning, focusing on how this synergy enhances predictive analytics and
drives business innovation.
4.
Overcoming Challenges in Implementing Machine Learning and Big Data: A
comprehensive analysis of the common challenges businesses face in adopting these technologies
and strategies to overcome them.
5.
