Difference Between AI and Cognitive Computing
Businesses across all industries have been using the best of modern technology for decades. Regardless of the type of technology used, the end goal of all organizations is the same. People are looking for differentiated ways to work smarter, not harder.
Artificial intelligence (AI) and cognitive computing are part of the future of technology. They have much more to do apart from making the lives of business professionals “easier” in the literal sense, as they have the ability to transform the way any business enterprise operates.
What do you mean by Artificial Intelligence?
Artificial intelligence (AI) is an innovative idea that can enable humans to perform tasks earlier and easier. Simply put, AI no longer requires human intervention to complete a task. These can include things like visual identification, voice recognition, even decision making, and many more.
Artificial systems have been widely used in science fiction stories for decades; their major step towards realization can be considered Alan Turing’s Theory of Computation. He depicts that while a machine can be taught to recognize certain symbols like “0” and “1”, its designers can also “teach” it to make mathematical deductions without human intervention by simulating formal reasoning.
What is Cognitive Computing?
Cognitive computing is a term that not only encompasses the principles of AI, but also machine learning, reasoning, and also natural language processing. Generally, it is an idea that hardware and software can be programmed to duplicate the functionality of the human brain for the purpose of enabling humans to make decisions.
If an organization uses AI and a cognitive computing system to perform a single task, the AI system will work to solve all available problems. The cognitive system would have provided all the information needed to make a better decision or a decision based on the data.
AI and Cognitive Computing in the Workplace
AI and cognitive computing already exist in workplaces around the world. This trend does not point to any initial downturn anytime soon.
An example of AI in the workplace takes the formation of Textio, which is basically a system designed to help recruiters and hiring managers write compelling job descriptions. It takes data from old job postings and compares it to published ones, suggesting word changes and even formatting choices that will make them more effective.
Montage is also an example that allows job candidates to schedule interviews. This system allows recruiters to not focus on these time-consuming tasks, and candidates are served with more freedom in choosing the time that suits them best.