Elevating Fleet Management and Financial Advice: Integrating Machine Learning and Cloud Technologies Beyond Traditional Spreadsheets

EasyChair Preprint 15012

Abstract

In the evolving landscape of fleet management and financial advisory services, traditional methods reliant on spreadsheets are increasingly insufficient for handling the complexities and scale of modern operations. This article explores the transformative potential of integrating machine learning (ML) and cloud technologies into these domains. By leveraging ML algorithms, organizations can enhance predictive analytics for fleet maintenance, optimize route planning, and improve operational efficiency. Simultaneously, cloud technologies offer scalable and secure platforms for real-time data management, collaboration, and advanced financial modeling. Through case studies and practical examples, this article demonstrates how the synergy of ML and cloud solutions can elevate decision-making processes, streamline operations, and provide actionable insights that surpass the limitations of traditional spreadsheet-based approaches. The discussion emphasizes the strategic benefits of this integration, including cost reduction, improved accuracy, and enhanced adaptability in a rapidly changing business environment.

Keyphrases: Advisory, Financial, Fleet, Integration, Services, Spreadsheets, Traditional, adaptability business, cost, environment, management, reduction

@booklet{EasyChair:15012,
  author    = {Adeyeye Barnabas},
  title     = {Elevating Fleet Management and Financial Advice: Integrating Machine Learning and Cloud Technologies Beyond Traditional Spreadsheets},
  howpublished = {EasyChair Preprint 15012},
  year      = {EasyChair, 2024}}