In recent years, the integration of deep learning (DL) and machine learning (ML) into Management Information Systems (MIS) and Decision Support Systems (DSS) has heralded a new era of data-driven decision-making. This vision explores the transformative potential of DL and ML in enhancing the efficiency, accuracy, and intelligence of MIS and DSS. By leveraging advanced algorithms, these technologies can process vast amounts of data, identify patterns, and generate insights that were previously unattainable. The incorporation of DL and ML into MIS enables real-time data analysis, predictive analytics, and automated decision-making processes, thereby significantly improving organizational responsiveness and strategic planning. Furthermore, DL's ability to handle unstructured data, such as text, images, and video, broadens the scope of information that MIS and DSS can utilize. This expanded capability supports more comprehensive and nuanced decision-making. The vision also addresses challenges such as data privacy, algorithmic transparency, and the need for continuous learning and adaptation of models. By fostering a collaborative ecosystem that includes stakeholders from various domains, the integration of DL and ML in MIS and DSS can drive innovation and create a competitive edge for organizations. Ultimately, this vision emphasizes the importance of developing robust, ethical, and adaptable systems that can effectively harness the power of DL and ML to support complex decision-making processes in dynamic business environments.