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Unlocking the Potential of Neural Networks in the Big Data Analytics Era: Harnessing the Power of Data-Driven Insights

EasyChair Preprint 12062

7 pagesDate: February 12, 2024

Abstract

This paper delves into the transformative impact of neural networks on big data analytics within the IT supply chain landscape. The integration of advanced technologies has become imperative for organizations seeking to stay competitive and efficient. Harnessing the power of data-driven insights, this study explores how neural networks unlock the potential of big data, revolutionizing decision-making processes and optimizing supply chain operations. The discussion encompasses the effective execution of IT supply chain strategies, enhancing sales methodologies, and addressing the unique challenges posed by medical devices. Additionally, the study examines the role of SAP supply chain solutions and the strategic considerations surrounding mergers and acquisitions in this evolving landscape. By understanding and leveraging these key components, businesses can navigate the complexities of the IT supply chain era with a data-driven approach.

Keyphrases: Big Data Analytics, Data-Driven Insight, IT supply chain, Mergers and Acquisitions, SAP Solutions, Sales Strategies, Strategic Execution, Supply Chain Optimization, medical devices, neural networks

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:12062,
  author    = {Usman Hider},
  title     = {Unlocking the Potential of Neural Networks in the Big Data Analytics Era: Harnessing the Power of Data-Driven Insights},
  howpublished = {EasyChair Preprint 12062},
  year      = {EasyChair, 2024}}
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