Synergizing Data Science and Computational Intelligence: Unlocking New Frontiers in Decision-Making and Innovation.
Abstract:
In this age of massive amounts of data, cutting-edge data science techniques and Computational Intelligence (CI) are reshaping our ability to understand intricate systems, draw conclusions, and propel innovation. We will look at how state-of-the-art data analytics methods interact with the dynamic field of computational intelligence, which includes topics such as hybrid intelligent systems, evolutionary computation, fuzzy logic, and neural networks. Using examples from fields as diverse as intelligent automation, healthcare, and market research, this session demonstrates how multidisciplinary methods allow for quicker, more accurate, and flexible decision-making. In addition to discussing the significance of generative models, the session will cover new developments in explainable AI, ethical data usage, and how researchers and practitioners can leverage this convergence to create meaningful solutions for a world that is changing at a rapid pace.
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