Before and After Computing With Cognitive Systems

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Cognitive computing technologies are fundamentally different from all other forms of computing used so far. Cognitive systems continually learn from their interaction with data (structured and unstructured), contexts, and people, and thus improve their learning and reasoning capabilities over time. Similar to how human learning evolves from birth to adulthood, a cognitive system learns and becomes more intelligent over time from the information it gains each time it interacts with its environment and the experience it accumulates.

This paradigm shift from rule-based computing to autonomous learning and reasoning is changing computing forever. With the advent of Big Data, cognitive computing promises to unlock a vast amount of knowledge now hidden under the rich and huge amount of data that tourism firms generate.

In this vain, the old dilemma about whether man or machine will prevail would lose relevance to give way to a new era in which machines would not replace humans but would join them to expand their capabilities and help them make decisions by leveraging Big Data analytics. Notwithstanding, deploying these capabilities would require a major shift in the way business organizations approach problems, use technologies, and operate.

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Note: this article was originally published by the author in FrontiersInBusinessTransformation

Francisco J. Navarro-Meneses
Francisco J. Navarro-Meneses
Professor of Business Transformation and Economics

My current research focuses on the study of frontier issues in business transformation and the modeling of value creation in service industries as complex systems

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