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Digital Themes

Cognitive Computing

What is Cognitive Computing?

The process of Cognitive Computing combines artificial intelligence (AI), natural language processing, neural networks, machine learning, sentiment analysis, and contextual awareness to address everyday problems in the same way humans would.

Cognitive computing involves advanced systems that are able to gain knowledge at scale, interact with humans, and even use reason. However, cognitive computing differs greatly from AI, as AI employs algorithms to resolve problems and cognitive computing goes further, attempting to imitate human intelligence. Unlike AI systems that address individual problems, cognitive computing studies patterns, can learn over time, and can use knowledge and reason to suggest appropriate actions.

Some would note that cognitive computing acts as an overall personalized assistant for human decision-making, and not simply by completing single tasks. Cognitive computing gives humans access to faster and more accurate data analysis and removes the possibility of incorrect decisions being automatically made by a machine learning system. Over time, more and more data can be collected and analyzed to create new insights and improve processes. Cognitive technology provides said analysis, but can also be used to anticipate future behavior and events with predictive analysis.

Some benefits of cognitive computing include more accurate data analysis, increasingly decisive business processes, and better customer engagement. Cognitive computing systems are designed to collect, analyze, and cross-reference all the situational information. Cognitive computing analyzes new and emerging patterns, finds business growth opportunities, and addresses critical process issues in real-time.

How can global industries utilize Cognitive Computing technology?

  • Healthcare - Cognitive computing systems can help physicians to collect and analyze data from multiple sources simultaneously, including patient health charts, previous medical reports, medical journals, and diagnostic tools. Cognitive computing expedites the data analysis process for doctors, using robotic process automation.

  • Publishing - Cloud computing contradicts the more traditional publishing business models and encourages them to reinvent best practices, produce more innovative digital content, and offer on-demand access. Digital Publishing companies are increasingly investing in new cloud technologies to provide fuller content services for user devices.

  •  Finance - Cognitive computing gives banks and financial institutions the ability to investigate customer complaint data and design and employ a warehouse of FAQs and business responses. Additionally, cognitive systems can learn to address questions and also decipher when an issue needs to be escalated to a human representative.

  • Travel and Entertainment - Cognitive computing systems can help customers plan their travel or entertainment experiences by collecting previous travel data and preferences to provide personalized results. Travel agents also use cognitive computing tools to search hotels, flights, and excursions simultaneously.
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