BIG DATA AND AI IN MARKETING: UNLEASHING THE POWER OF DATA-DRIVEN DECISION MAKING
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.2109Keywords:
Artificial Neural Networks, Big Data Analytics, Data-Driven Techniques, Pattern Recognition, Predictive Modelling, Data Preprocessing, Multi-Source Data Integration, Scalability, Explainable AI, Industry Applications, Healthcare, Finance, Marketing, Data-Driven Decision Making, Innovation, Commercial SuccessAbstract [English]
This study investigates the use of neural networks with respect to big data analytics, emphasizing the ways in which these potent tools may be used to mine massive data sets for insightful information. Using data-driven techniques, researchers explore the methods that allow the efficient using neural networks to improve big data processing and understanding. They go over how neural networks' innate ability to manage intricate relationships and trends in huge datasets makes it easier to find useful insights. We also emphasize how crucial it is to combine various data sources and use strong approaches to preprocessing in order to maximize neural network performance in big data analytics. Researchers illustrate the prospective effect of using neural networks in a variety of sectors, including finances, marketing, and healthcare, using research results and actual-life scenarios. This paper's principal objective is to provide a thorough analysis of the methods and approaches for using neural networks to their fullest capacity in analytics of large amounts of data, highlighting the significance of making decisions based on data for fostering invention and commercial success.
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