ARTIFICIAL INTELLIGENCE

What’s the Difference Between
Cognitive Computing and Artificial Intelligence?

By March 14, 2019 No Comments
What's the Difference Between Cognitive Computing and Artificial Intelligence?

It’s no secret that businesses in nearly every industry have been making use of modern technology for decades. Regardless of what type of tech, the end goal has always been the same: people seek ways to work smarter, not harder—and they need it yesterday.

With that in mind, both Artificial Intelligence (AI) and cognitive computing are part of the next great frontier of tech. But they’re about to do more than just make the lives of business professionals “easier” in a literal sense: they’re about to change how people conduct business.

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What is Artificial Intelligence?

Artificial Intelligence is the idea that humans can take a computer system and “teach” it to perform human tasks, eventually getting to the point where those systems no longer require human intervention at all. These can include, but are not limited to, things like visual identification, speech recognition, and even decision-making.

Though thought-capable artificial systems have been prominent in science fiction stories for decades, their first major step towards becoming a reality can be traced back to Alan Turing’s theory of computation. This was the idea that, if one could essentially teach a machine how to recognize certain simple symbols like “0” and “1”, its designers can provide virtually everything needed to “teach” it how to do mathematical deductions without a human by simulating formal reasoning.

What is Cognitive Computing?

Cognitive computing, on the other hand, is a term far more specific that encompasses the principles of not only AI, but also machine learning, reasoning, and natural language processing. Essentially, it’s the idea that both hardware and software can be programed in a way that mimics the functionality of the human brain in an effort to help humans improve decision making.

In other words, if one presented both an AI and a cognitive computing system with the same task, the AI system would have used all available data to solve the problem. The cognitive system would have served all the necessary insight to provide decision makers with the information needed to make better, data-driven decisions.

AI and Cognitive Computing in the Workplace

Both AI and cognitive computing are already at use in workplaces around the world—and this trend that shows absolutely no signs of slowing down anytime soon.

One example of AI in the workplace takes the form of Textio, which is a system designed to help job recruiters and hiring managers write more compelling job descriptions. It takes data from former job postings and compares it against the one to be published, suggesting word alterations and even formatting choices that will help it be more effective.

Montage is another example, which lets job candidates schedule interviews with all necessary people. Recruiters are then free to focus on more pressing tasks and candidates are allowed more freedom in selecting a time that works best for them.

Another example of cognitive computing in the workplace takes the form of cognitive consultants, which are exactly what they sound like. They’re essentially a virtual “intelligent” advisor that is always present in the workplace, wading through data and performing advanced analytics to perform a qualitative assessment of any course of action one may be thinking about pursuing.

Many cognitive systems are also being used in places like hospitals and other healthcare facilities around the world. Using all available data, cognitive systems can mimic reasoning and can help “talk” a doctor or group of medical professionals through a problem. This can help them not only process huge amounts of data, but arrive at better decisions faster.

Make Data-Driven Expansion Decisions with an Experienced Partner

The most important thing to understand is that while cognitive computing and artificial intelligence have already changed the workplace, things are only just getting started. The impact has already been enormous and will continue to expand over time. The end result will be a world where business leaders can confidently hand off routine, administrative tasks to these systems so that 100% of their time each day is free to focus on actually moving their business forward—including making better informed decisions about your global expansion plans.

Whether you know exactly where, when, and how your global expansion will take place, or you’ve just begun searching for the right destination, Velocity Global’s International PEO (Professional Employer Organization) solution can help with each step of the expansion process.

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