AI Innovations: Unraveling Neural Networks and Big Data Analytics in the Context of Mergers, IT Supply Chain, and Medical Device Sales with SAP Integration

EasyChair Preprint 12083

Abstract

This paper delves into the realm of cutting-edge artificial intelligence (AI) innovations, focusing on the intricate interplay between neural networks, big data analytics, and their application in the context of mergers and acquisitions (M&A), IT supply chain management, and sales of medical devices integrated with SAP technology. The integration of AI technologies has become increasingly pivotal in enhancing operational efficiency, decision-making processes, and overall business strategies across diverse industries. The first section explores the evolving landscape of AI, providing a comprehensive examination of neural networks. Neural networks, inspired by the human brain's architecture, play a crucial role in enabling machines to learn from data, adapt to changing circumstances, and make data-driven predictions. Understanding the nuances of neural networks is fundamental to harnessing their capabilities for various applications. The second section focuses on big data analytics, elucidating its significance in processing vast datasets to extract valuable insights. In the context of M&A, IT supply chain, and medical device sales, big data analytics empowers organizations to make informed decisions, optimize processes, and identify strategic opportunities. The paper examines specific use cases where big data analytics has proven instrumental in driving success within these domains. 

Keyphrases: Artificial Intelligence, Big Data Analytics, IT supply chain, Medical Device Sales, Mergers and Acquisitions, SAP Integration, neural networks

@booklet{EasyChair:12083,
  author    = {Battle Hurry},
  title     = {AI Innovations: Unraveling Neural Networks and Big Data Analytics in the Context of Mergers, IT Supply Chain, and Medical Device Sales with SAP Integration},
  howpublished = {EasyChair Preprint 12083},
  year      = {EasyChair, 2024}}