Cognitive computing represents a cutting-edge field that blends artificial intelligence (AI), machine learning (ML), and data analytics to mimic human thought processes. This paper explores the potential of cognitive computing in enhancing decision support systems (DSS). The integration of cognitive computing techniques allows DSS to process vast amounts of data, recognize patterns, and provide insights that can aid in making more informed decisions. This abstract discusses the key aspects of cognitive computing, its implementation in DSS, and the benefits it offers over traditional decision-making processes. We delve into how cognitive computing systems can analyze unstructured data, learn from historical information, and adapt to new inputs, thereby improving the accuracy and reliability of decisions. Furthermore, we examine the challenges faced in the development and deployment of cognitive computing for DSS and propose strategies to overcome them. The paper concludes by emphasizing the significance of cognitive computing in driving innovation in decision-making and the potential for its widespread adoption across various industries.
Jackson, O. Cognitive Computing for Enhanced Decision Support Systems. Information Sciences and Technological Innovations, 2021, 3, 16. https://doi.org/10.69610/j.isti.20210217
AMA Style
Jackson O. Cognitive Computing for Enhanced Decision Support Systems. Information Sciences and Technological Innovations; 2021, 3(1):16. https://doi.org/10.69610/j.isti.20210217
Chicago/Turabian Style
Jackson, Olivia 2021. "Cognitive Computing for Enhanced Decision Support Systems" Information Sciences and Technological Innovations 3, no.1:16. https://doi.org/10.69610/j.isti.20210217
APA style
Jackson, O. (2021). Cognitive Computing for Enhanced Decision Support Systems. Information Sciences and Technological Innovations, 3(1), 16. https://doi.org/10.69610/j.isti.20210217
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