Overview
The integration of AI and big data into recruitment transforms how organizations identify, attract, and retain talent. By leveraging advanced algorithms and data analysis, companies can streamline hiring processes, reduce biases, and make informed decisions. Key strategies include using AI-driven tools for resume screening and candidate matching, utilizing predictive analytics to forecast employee success and retention, and integrating big data to understand labor market trends. Chatbots and virtual assistants can enhance candidate experiences by providing real-time communication and support. When implemented, these technologies may improve efficiency while building a more strategic, data-informed approach to talent acquisition. Strategies for AI and Big Data in Recruitment delves into the transformative impact of AI and big data on recruitment and talent management. It provides a comprehensive guide on how organizations can leverage these technologies to enhance their recruitment processes, improve talent acquisition strategies, and optimize overall human resource management. This book covers topics such as data analysis, deep learning, and social media, and is a useful resource for business owners, managers, computer engineers, academicians, researchers, and data scientists.
Full Product Details
Author: Mohamed Badouch ,
Mehdi Boutaounte
Publisher: IGI Global
Imprint: Business Science Reference
ISBN: 9798337340180
Pages: 306
Publication Date: 12 August 2025
Audience:
College/higher education
,
Professional and scholarly
,
Tertiary & Higher Education
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.
Author Information
Mohamed Badouch combines eight years of industrial expertise in IT development with a rich academic approach. Currently a doctoral student in Artificial Intelligence at Ibn Zohr University in Agadir, he has a solid background in software and web development and holds executive responsibilities in project management and maintenance. Holding a master's degree in information systems engineering from Cadi Ayyad University (2017), he is passionate about technological innovation. He explores artificial intelligence and machine learning, notably by designing personalized recommendation solutions for tourism and e-commerce. An active member of UNESCO's Inclusive Policy Lab and a visiting lecturer at Abdelmalek Essaâdi University, he inspires with his ethical commitment and his ability to harness new technologies to address contemporary challenges. Mehdi Boutaounte is a professor in computer science at National School of Business and Management, Dakhla, Morocco
