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Cognitive Computing

What is cognitive computing?

Cognitive computing refers to technology platforms influenced by cognitive science to simulate the human thought process and encompassing artificial intelligence and signal processing. This may include capabilities like machine learning, reasoning, natural language processing (NLP), speech and vision recognition, human-computer interaction (HCI) and more.

What are the business benefits of cognitive computing?
  1. Improved data collection and interpretation: Cognitive computing applications analyze patterns and apply machine learning to replicate human capabilities such as deduction, learning, perception and reasoning. Both structured and unstructured data can be collected from diverse sources, and in-depth cognitive analytics are applied to interpret the data. That information can then be used to improve visibility into internal processes, how your products and services are being received, what your customers’ preferences are and how best to build their loyalty. 
  2. Troubleshooting and error detection: By applying cognitive concepts to a robust technological environment, cognitive computing can help you more quickly and accurately identify issues in business processes and uncover opportunities for solutions.
  3. More informed decision-making: Through its data collection and analysis capabilities, cognitive computing allows for more informed, strategic decision-making and business intelligence. This can lead to more efficient business processes, smarter financial decisions, and overall improved efficiency and cost savings.
  4. Improved customer retention: Cognitive computing sets the stage for a more helpful, informed customer-to-technology experience, improving customer interactions. Its ability to interact with and understand and learn from humans greatly improves overall customer retention and satisfaction.

Learn more about cognitive computing in the articles below.

Cognitive Computing Featured Content
How Cognitive Computing Unlocks BPM’s Virtues
Bringing Cognitive Capabilities Into Enterprise Systems
Humans and Intelligent Machines

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