1 Adopting Machine Learning for Better Leadership and Organizational Outcomes Prof. Dr. Satya Subrahmanyam 1 , Dr. Danielle Khalife 2 , Dr. Assaad Farah 3 1 Professor & Asst. Dean (Research) – Business School, Holy Spirit University of Kaslik, Jounieh, Lebanon. 2 Dean – Business School, Holy Spirit University of Kaslik, Jounieh, Lebanon. 3 Dean – School of Business, American University in Dubai, Dubai, UAE. E-mail : satya.sub@usek.edu.lb, daniellekhalife@usek.edu.lb, afarah@aud.edu Abstract- Utilizing machine learning (ML), a revolutionary trend in the fields of modern business and leadership, opens up new ways to improve leadership styles and propel company success. This research looks at how machine learning techniques can be used to improve leadership strategies and the general efficiency of an organization. In the area of leadership development, this research looks at how machine learning might be able to look at a lot of data and find trends, patterns, and insights that might not be seen with more traditional methods. In addition, it shows how important machine learning algorithms are in predictive analytics, which helps managers see problems coming, lower risks, and take advantage of new opportunities. This research looks at how systems that use machine learning might improve the openness, fairness, and responsibility of decision-making processes in order to build trust and teamwork. It also looks at the problems and moral issues that might come up when ML is used in leadership, emphasizing how important it is to have responsible ML governance and constant oversight to get rid of biases and make sure fair results. This research shows how machine learning may have a big effect on leadership and the success of organizations. When leaders want to use AI-powered technology to stay ahead of the competition, boost innovation, and help their businesses grow in the digital age, our services can help. Keywords: Machine Learning, Leadership, Organizational outcomes, Predictive analytics, Data-driven decision-making, Performance optimization, Talent management, Employee engagement. I. INTRODUCTION Today's businesses have to deal with more complicated problems that need new ways of leading and managing. When dealing with the complexity of current situations, old ways of solving problems and making decisions don't always work. Today, however, executives have access to machine learning (ML) technology, which is a powerful tool that helps them make decisions and drives success within companies.Machine learning is a type of AI that lets computers take in data on their own and draw conclusions or make guesses without any help from a person. This set of skills shows a lot of potential for leadership and running an organisation. Many things have already changed a lot because of it, like banks and health care. This research looks at how machine learning and leadership are related and shows how ML can improve the performance of a company. Utilising case studies, theory frameworks, and real-world examples, this research aims to explore how machine learning (ML) can completely change leadership tasks such as strategy planning, talent management, and decision-making [1].Our research's goal is to show how machine learning can help business leaders improve processes, deal with uncertainty, and do well in today's fast-changing business world. Data-driven insights can help businesses create cultures that are creative and resilient, lower risks, and find new possibilities. We will look at how machine learning is being used in the fields of organisational management and leadership in more detail in the parts that follow. The focus will be on specific examples and tips that executives can use right away to get the most out of machine learning in their own fields. There is a lot of promise, and the benefits are clear in areas like personalised leadership training and predictive analytics.Machine learning has a lot of promise, but it's important to know that it needs to be used in a way that takes into account the social, moral, and business impacts before it can be used. This talk will cover both the opportunities that machine learning brings and the problems that leaders have to deal with when they try to get everyone to use technology in a fair and moral way. By fully embracing machine learning as a driver for transformation and innovation, leaders can pave the way for a bright future for their businesses, even in times of uncertainty, sudden change, and complexity. By using machine learning algorithms in a planned and strategic way, we may be able to make businesses more efficient and effective for a while, which will have long-lasting benefits for stakeholders, workers, and the community as a whole. 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) | 979-8-3503-8944-9/24/$31.00 ©2024 IEEE | DOI: 10.1109/ACCAI61061.2024.10601875 Authorized licensed use limited to: Holy Spirit University of Kaslik (USEK). Downloaded on July 27,2024 at 14:51:44 UTC from IEEE Xplore. Restrictions apply.