There is a lot of conversation happening around big data, artificial intelligence, machine learning, and data analytics as of late. Yet, how these cognitive systems can help your business is still unclear to many senior executives. Cognitive Computing is based on self-learning systems that use machine learning techniques to perform specific, human-like tasks in an intelligent way. Sounds great, right?
We have all heard the many buzz words and trendy terms surrounding tech, but here are the features that really make a great cognitive system:
Features Required For A Cognitive System
In my opinion, there are certain elements that make a system cognitive. In order to implement cognitive computing in enterprise applications that will have a beneficial business impact, a cognitive computing system must have the following features:
The system must reflect the ability to adapt, much like a brain does, in all aspects. It needs to be dynamic in data gathering and in understanding goals and requirements.
The cognitive system must be able to interact easily with users so that users can define their needs. Similarly, it must also interact with other processors, devices, and Cloud services.
Be Iterative & Stateful
A strong cognitive system needs a precise application of data quality and validation methodologies to ensure that the system is always provided with enough information and that the data sources it operates on are delivering reliable and up-to-date information.
The system must have the ability to understand, identify, and extract contextual elements such as meaning, syntax, time, location, appropriate domain, regulations, user’s profile, process, task, and goal. And it must draw on multiple sources of information, including both structured and unstructured digital information.