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Discover the transformative power of artificial intelligence (AI) and machine learning (ML) in Talent Acquisition and Retention with this comprehensive guide tailored for private companies. From streamlining recruitment processes to fostering employee engagement, this book equips employers and managers with the skills and strategies needed to succeed in today's competitive landscape. Explore the synergies between AI, ML, and talent management as you learn how to leverage these technologies for candidate sourcing, enhancing candidate experience, optimizing hiring decisions, and developing AI-powered learning programs. Delve into retention strategies supported by AI and ML, such as early warning systems for attrition prediction and personalized career development plans. With practical insights and actionable advice, this book empowers private companies to transform their Talent Acquisition and Retention strategies, programs, and projects, ensuring they attract, retain, and develop top talent to drive long-term success and innovation.
Über den Autor / die Autorin
The author of "Data and Analytics in School Education" is a PhD holder, an accomplished researcher and publisher with a wealth of experience spanning over 12 years. With a deep passion for education and a strong background in data analysis, the author has dedicated his career to exploring the intersection of data and analytics in the field of school education. His expertise lies in uncovering valuable insights and trends within educational data, enabling educators and policymakers to make informed decisions that positively impact student learning outcomes.
Throughout his career, the author has contributed significantly to the field of education through his research studies, which have been published in renowned academic journals and presented at prestigious conferences. His work has garnered recognition for its rigorous methodology, innovative approaches, and practical implications for the education sector. As a thought leader in the domain of data and analytics, the author has also collaborated with various educational institutions, government agencies, and nonprofit organizations to develop effective strategies for leveraging data-driven insights to drive educational reforms and enhance student success. His expertise and dedication make him a trusted voice in the field, and "Data and Analytics in School Education" is set to be a seminal contribution that empowers educators and stakeholders to harness the power of data for educational improvement.
