The role of ai in business management: balancing private and open-source AI

Purpose: Create a framework supporting managers in integrating AI into business management decisions. Need for the study: The Artificial Intelligence (AI) discipline is revolutionizing business management via enhanced decision-making procedures, enhanced operational effectiveness, and improved strategic planning. Looking at the openness of their algorithms and data training and handling, AI models are generally categorised into Private and Open-Source models. The aforementioned distinctions significantly affect the functioning of companies in terms of privacy, data security, and competitive standing. Businesses must make a fundamental trade-off between Open-Source AI, that could be limited in data privacy and security, but it presents a lower initial investment, and Private AI, which provides better data control at the expense of increased financial investment. Methodology: Critical analysis of the literature, case studies and practitioner experience. Findings: The research presents limits and opportunities of both Open-Source and private AI, and a framework to support managers in integrating both models in different areas of their operations to optimize benefits. Practical Implications: A structured approach can help managers make informed decisions about adopting AI, balancing cost, security, and scalability