Secure Intelligence and Prediction in Crisp Business Using Artificial Intelligence Techniques

Implementing Artificial Intelligence (AI) techniques is challenging, particularly for novices, to locate an effective AI strategy for a particular issue. Additionally, a heuristic algorithm selection strategy frequently produces error-prone and suboptimal outcomes. A meta-learning-based process model, based on Cross-industry standard process – Data Mining (CRISP-DM) was developed to solve this problem. The process model can recommend the best AI methods as potential solutions based on the characteristics that the model uses to define the problem. The model was evaluated using master data management tasks, and the observed results are acknowledged and supported in the literature. Entrepreneurship is an activity and method for adding value to financial management. The development of the entrepreneur mindset is to help the practices to carry out by the entrepreneur's performance. Entrepreneurial mindfulness influences the identification of cognitive construction and the foundation of the entrepreneurial mindset. It aids in establishing the user's entrepreneurial mindfulness to understand the artificial intelligence model. In this study, an AI model using the CRISP-DM method was created. Predictive analytics are most widely used in the lifecycle of CRISP-DM.