Streamlining Talent Acquisition with AI for Remote Workforce Management in Global Markets

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@article{1709200,
      author = {Sonu Pradheen Kotapati, Gopi Chand Edara, Bhavana Kucharlapati, Venkata Revanth Kollipara, Brahmini Kotapati},
      title = {Streamlining Talent Acquisition with AI for Remote Workforce Management in Global Markets},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {9},
      pages = {495-499},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709200.pdf},
      abstract = {In this research, we explore using AI to make it simpler to manage and acquire talent for remote workers operating across the globe. It outlines the increasing difficulty of hiring people in many countries and time zones and discusses AI tools that simplify candidate sourcing, assessing applicants? skills and setting up interviews. The research compares both case studies of companies making use of AI with data gathered from LinkedIn results. Some key results show that AI can make hiring 50% faster, makes the process more accurate and helps companies make unbiased decisions. The study proposes methods for bringing AI into recruitment without replacing human involvement. The study provides new thinking on ways to scale and reduce costs in managing global remote employees. My job was to plan the research outline, carry out interviews, analyze numbers and integrate the best findings to suggest beneficial options.},
      month = {March},
  }