The rapid emergence and evolution of AI, machine learning, and NLP have significantly changed the way decision support systems are designed and operated. This paper explores how these technologies can be integrated into DSS to enhance their effectiveness and capabilities. The paper explores how cognitive computing can help improve the processing of data and provide more accurate and timely recommendations. It also covers the various technical issues that need to be resolved to implement these technologies in DSS. In addition, this paper presents case studies about the successful implementation of cognitive-enhanced decision support systems in various industries. These demonstrate how the technology can help improve the efficiency and accuracy of the operations of these organizations. The findings show that cognitive computing can help transform how decision-making is done.
Building similarity graph...
Analyzing shared references across papers
Loading...
Ripalkumar Patel
Amit Goswami
Hiren Mistry
Building similarity graph...
Analyzing shared references across papers
Loading...
Patel et al. (Mon,) studied this question.
www.synapsesocial.com/papers/68af659bad7bf08b1eae586c — DOI: https://doi.org/10.53555/kuey.v30i6.5473
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: