Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2071 2019 2019 Computer Technologies Engineering, Al-Turath University College, Baghdad, Iraq Mustafa Nazar Dawood Department of Medical Devices Engineering Technologies, National University of Science and Technology, Dhi Qar, Nasiriyah, Iraq Mohammed Ayad Alkhafaji Medical instruments engineering techniques, Al-farahidi University, Baghdad, Iraq Ahmed Hussian Technical Computer Engineering Department, Al-Kunooze University College, Basrah, Iraq Hussein Alaa Diame Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq Naseer Ali Hussien Department of Applied Data Science, Noroff University College, Kristiansand, Norway Sahar Yassine Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India Venkatesan Rajinikanth Risk Management is an important task that helps to monitor the business application to eliminate the political, financial, cultural, and social consequences. The organization's risk decision is affected by several characteristics, such as lack of accountability and risk decision-making. The difficulties are resolved by applying the Machine-Learning related Business Decision Making Approach (ML-BDMA). The created framework helps to reduce the difficulties in decision-making while managing the organization's risk. The Business Decision Making process works along with the Optimistic Predictive Techniques (OPT) that are used to identify the risk which leads to attaining the business objective. This process categorizes the risk according to the qualitative characteristics of business data. The system's effectiveness was evaluated using the experimental result in which the system ensures a 98.93% performance rate, 92.25% reliability rate, 93.47% authenticity rate, 91.11% risk management rate, and 97.77% development rate while making a business decision. 2023 2023 51 64 10.54216/JISIoT.090204 https://www.americaspg.com/articleinfo/18/show/2071