Exploring Neural Networks, Machine Learning, Big Data, and Synergies in Mergers: Transformative Insights for IT and Medical Device Supply Chains

EasyChair Preprint 12095

Abstract

This paper delves into the intersection of cutting-edge technologies such as neural networks, machine learning, and big data with the dynamics of mergers and acquisitions (M&A). We investigate how these technologies can synergize within M&A activities to drive transformative changes in both IT and medical device supply chains. By exploring the potential synergies and challenges, we aim to provide actionable insights for industry practitioners and researchers alike.

Keyphrases: Big Data, IT supply chain, Medical Device Supply Chain, Mergers and Acquisitions, Synergies, machine learning, neural networks

@booklet{EasyChair:12095,
  author    = {Rohit Sharma},
  title     = {Exploring Neural Networks, Machine Learning, Big Data, and Synergies in Mergers: Transformative Insights for IT and Medical Device Supply Chains},
  howpublished = {EasyChair Preprint 12095},
  year      = {EasyChair, 2024}}