Find out what cognitive computing is and how it can help process automation – WAU

Machines are increasingly able to perform functions of people, however, this is not the purpose of cognitive computing. It empowers systems to understand data and then support varying demands. Know here its benefits and applications!

Several times, science fiction films have shown computers with human reasoning ability. What seemed very distant today is reality – of course, with limitations common to the real world.

Cognitive computing is a technology in this line and it has helped companies in process automation.

Today, software is capable of acting intelligently, but it all has a strong scientific foundation built over years of study. The result of this technological development is innovative solutions that support diverse activities.

In this post, you will better understand what cognitive computing is, its relationship with Artificial Intelligence (AI) and how this technology is being used!

What is cognitive computing?

Acting and thinking like humans: that’s what computers were expected to do for a long time. Technology has advanced to the point that it is not absurd to think that machines can do this.

On the contrary, the idea is to bring them closer to a person’s reasoning. This is the basis of cognitive computing.

Today, any activity done in a digital environment generates data that records each action performed, and that is where the concept we are addressing in this content comes in.

Cognitive computing is the technology that allows machines and systems to interpret data, collect information from them and identify trends.

In this relationship with information, cognitive computing also allows these software to be able to store all the data with which they have contact.

However, this storage is in the sense of generating an information base, resulting in a kind of source of knowledge.

In the long run, these systems identify patterns of data and repetitions of information, which enables them to interact better. The more information they are given, the more they will learn and be able to perform tasks, such as answering questions.

The more information they are given, the more they will learn and be able to perform tasks, such as answering questions.

The relationship with AI

Today, AI and cognitive computing have a very close relationship, although they are not exactly the same thing. This is due to the way the new systems are designed.

An example is chatbots, robots that perform simple tasks, such as answering questions in company service chats.

In this case, AI is what allows these systems to interact with the public, answering questions as a person. The role of cognitive computing is to interpret the data offered, that is, the content of the client’s question.

When combined, these two technologies allow a particular machine to understand the information that was offered, process that data, and then respond to the request. Together, AI and cognitive computing are already the basis of a series of software that act this way.

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The relationship with Machine Learning

Machine Learning presents itself in a very similar way to the relationship with AI, however, it acts more in the database. This technology is responsible for enable a system to learn from all the data it receives and understands, thanks to cognitive computing.

Thus, Machine Learning is responsible for the continuity of the work begun in the understanding that cognitive computing makes possible. In addition to being able to understand and interpret data, systems start to learn more and more as they get in touch with information.

What benefits does this technology provide?

Cognitive computing can bring a number of concrete benefits to companies that adopt it in their processes. In everyday life, cognitive computing is far less complex than it looks and brings a lot of support to productivity.

Next, see what gains can be made!

Human labor support

Perhaps for the next few years or decades, machines should not replace the work of people. This is an understandable idea for the time when it was implemented in society.

Although advanced, cognitive computing supports those who use it, helping people to solve demands.

Its ability to be applied in different systems helps anyone to have fewer tasks to perform. This technology can automate responses, make registrations and schedules, in addition to handling data reading for strategic analysis of companies. All of this, quickly and bringing ready results.

Process automation

Automatic processes are part of the current work reality of any company and in most market segments – marketing is one of them, with the automation of email marketing shots, scheduling of posts on social networks, among other possibilities.

Without this, employees would have twice as many tasks to be performed, with much greater margins of error. Cognitive computing helps to transform laborious tasks into simple processes.

In a service, for example, it is no longer necessary for a person to conduct the entire process. Often, the machine solves this with simple answers.

Financial security is another demand that wins a lot. People no longer need to cross-check financial data or analyze suspicious transactions.

Reduced task complexity

Have you ever imagined having to manually analyze the result of all sales from a market leader? This task can be done by a person, without the help of software, however, it would take time and effort, as well as it would be risky.

Complex and labor-intensive processes can be smoothed with this technology.

Cognitive computing is proactive and performs jobs automatically, seeking the information you want for the company’s strategy.

This ensures that employees have less work, redirecting that time to more technical issues that really require a person’s application.

How can Artificial Intelligence be applied?

In any segment and for any level of complexity, cognitive computing is capable of offering intelligent and completely efficient solutions for the entire company. In order to automate tasks and support employees.

See how it has been applied by companies!

Customer service

Customer service is one of the most common examples of using technology. Chatbots respond to inquiries and carry out other requests from people who visit websites.

More and more common, they stay in chats and help real operators to have better control over their demands, as well as improve productivity.

Data analysis for managers

Every manager needs to have comprehensive information to understand how departments and companies have behaved. This helps to get a real sense of how the company is doing, and what can be done from there.

The software automates the analysis of this data, indicating trends, repetitions and helping to evaluate the information. This provides the basis for decision making.

Development of GPS routes

GPS software is already a very inherent feature of drivers’ routines, and cognitive computing is their base. It all starts with reading a database about traffic, street information and dynamic events.

Thus, the GPS is able to understand all of this information and then plot the best routes. The difference is that they do it in real time!

Investment applications

Home brokers have evolved and automated many of their functions. The proposal is to make less experienced investors able to apply without problems. In practice, the proposal is reduce losses and make notes.

The entry and exit of stock positions is now automated. All of this is done based on reading the data that the financial market offers to the software.

Detecting financial fraud

Banks tend to act proactively to prevent their customers from suffering any type of scam, such as improper card purchases. Any suspicious activity is blocked, to then contact the customer.

This procedure has become more effective thanks to cognitive computing. The systems come to understand these behaviors and issue announcements for blocking.

Facial reading

Facial reading has arrived for many people in a simple way, thanks to smartphones. What was seen as something very futuristic works today (and well) as security method for mobile devices.

The system stores details about the user’s features, creating a pattern that is accessed every time the unlock is requested.

Schedules

Many companies also automate their service with the help of cognitive computing. This reduces the demand for attendants who have to deal with dozens or hundreds of such cases per day.

Online, the public informs their preferences through the alternatives shown in the systems: date, time, location and whatever else is needed.

What is the future of using cognitive computing?

The trend is that this technology is increasingly present in the routine of companies, mainly, bringing innovation to these times of digital transformation.

It is always important to remember that this type of behavior of machines and systems was seen as something utopian, but today, these resources are part of the daily life of our society.

The machines will be progressively able to answer, solve questions and act directly with the human. In the future, demands that are not yet supported by technology may be resolved, and cognitive computing will be the basis of these systems.

The technology advances and brings greater competitiveness and problem solving for companies. As we have seen, cognitive computing has a huge impact on the automation of processes, making a lot of difference for people and businesses.

Do you want to dive further into the changes that are underway and that are to come? Now see what Industry 4.0 is and the impacts of the new industrial era!