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Navigating Business Transformation: AI and Big Data Synergy in M&A, IT Supply Chain, and Sales Excellence

EasyChair Preprint no. 12087

9 pagesDate: February 12, 2024


This paper explores the dynamic landscape of business transformation by examining the synergistic integration of Artificial Intelligence (AI) and Big Data Analytics in the realms of Mergers and Acquisitions (M&A), IT Supply Chain, and Sales Excellence. The convergence of these technologies is reshaping the way organizations operate, innovate, and excel in a rapidly evolving business environment. In the context of M&A, the paper delves into how AI and Big Data Analytics contribute to the effectiveness of the entire process, from due diligence to post-merger integration. Leveraging advanced algorithms and data-driven insights facilitates strategic decision-making, risk assessment, and optimization of synergies, fostering successful M&A outcomes. Within the IT Supply Chain domain, the integration of AI and Big Data brings forth a new era of efficiency and adaptability. This paper explores how predictive analytics, machine learning, and data-driven insights enhance supply chain visibility, streamline operations, and fortify resilience in the face of disruptions. The synergy of AI and Big Data is examined in the context of demand forecasting, inventory management, and supply chain optimization, contributing to a more agile and responsive IT supply chain.

Keyphrases: Artificial Intelligence, Big Data Analytics, Business Transformation, Innovation, IT supply chain, Mergers and Acquisitions, Sales Excellence, strategic integration

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Usman Hider},
  title = {Navigating Business Transformation: AI and Big Data Synergy in M&A, IT Supply Chain, and Sales Excellence},
  howpublished = {EasyChair Preprint no. 12087},

  year = {EasyChair, 2024}}
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