Strategic Insights: Machine Learning and IoT Strategies for Effective Data-Driven Decision Making

EasyChair Preprint no. 11915

Abstract

This paper explores the synergies between Machine Learning (ML) and the Internet of Things (IoT) to enhance data-driven decision-making processes. Leveraging ML algorithms for data analysis and deriving actionable insights from IoT-generated data, organizations can strategically position themselves for competitive advantages. The study adopts a comprehensive approach, encompassing the integration of ML models with IoT devices, methodological considerations, empirical results, and a discussion of challenges and potential solutions.

Keyphrases: competitive advantage, data analysis, data-driven decision making, Internet of Things, IoT Strategies, machine learning, ML algorithms, Strategic Insights

@Booklet{EasyChair:11915,
  author = {William Jack and Wiki Miki},
  title = {Strategic Insights: Machine Learning and IoT Strategies for Effective Data-Driven Decision Making},
  howpublished = {EasyChair Preprint no. 11915},

  year = {EasyChair, 2024}}