Systems that read, understand, and analyse human language and augment human cognition now become critical for the modern enterprise. Questions like, “What is cognition,” lead to many different discussions. Most can agree, however, that it includes the ability to understand language to learn and to form responses or hypotheses.
Today’s smart machines with AI capabilities such as WATSON are already changing how humans work. Here are three examples:
- Machines that enhance human capabilities, such as an employee using a wearable computing device to answer almost any question.
- Machines replace humans, such as a cognitive virtual assistant used as an automated customer service representative.
- Humans and machines work side by side, such as a warehouse employee working with a mobile robot to move boxes.
Incorporating these advanced cognitive capabilities to enhance our knowledge, expertise, and decision making into many parts of a business is how to truly become a Cognitive Business and take advantage of the market lead this provides.
Beyond Searching: Cognitive Exploration
Once companies realise indexing, tagging, and keywords fail to provide the information they need to make informed decisions, they search for the next step. The answer they seek? Cognitive exploration.Far more than just a fancy word for searching, cognitive exploration encompasses a range of technologies and abilities far beyond the smartest search application. Cognitive exploration is the combination of search, content analytics, and cognitive computing. Not only can cognitive exploration accelerate the rate at which users can find and navigate information; by leveraging advanced technologies such as content analytics, machine learning, and reasoning it has the potential to augment human expertise.
Provide Information in Context
Search engines retrieve documents, Web pages and other objects based on keywords entered by a user, but they do not assist the user in actually understanding the presented information. Cognitive exploration systems have the ability to leverage a much deeper understanding of unstructured content to improve the relevance of information returned to the user and to apply analytics that help users to grasp and act on the information.
Deeper Analysis of Unstructured Content for Trends and Insights
Taking the next step,a the new system that goes beyond searching must provide deep natural language processing. Capabilities such as entity and concept extraction can be used to improve exploration, as well as to implement content mining to expose trends and patterns in unstructured content to gain new insights.