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Explore the New Possibilities of Artificial Intelligence in Automation

Key Applications of Artificial intelligence in Automation

By aress aiPublished 3 years ago 3 min read
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Artificial intelligence has become an important aspect of the business world. Artificial intelligence has added new possibilities and outcomes to businesses. The older version of artificial intelligence has a limited scope of reducing workload, but a combination of artificial intelligence and automation not only offers to reduce the human workload but also removes the need for interventions altogether. The combination of artificial intelligence and automation is called the automation continuum

What are the components of AI in Automation?

Depending upon the need the AI and automation are combined or separately used. An intelligent automation system uses these three components includes

Machine Vision:

This is the component mainly used to understand the visual point. The machine uses the images for the classification and identification of the mechanism. An example of Machine vision is the Facebook artificial intelligence research program where the image of the person is analyzed identifying the attributes, and then classifies and explains the new visuals to the user.

Natural Language Processing

As mentioned above, the machine version works on the visuals, the Natural Language Processing works on the text spoken by the users (human voice) and gives relevant results. Now it's easy for the machine to understand the text behind the communication and take action alternatively. Some of the examples of NLP include Google Assistant, Apple's Siri, etc that rely on NLP.

Machine Learning:

This includes the ability of the machine to learn about the problem that occurs one time and solve it the next time automatically. Machines are able to learn themselves using the data fed, outcomes of decisions, and environmental variables. By using machine learning we can improve the efficiency of work, cost, and time. For example, if one problem comes under an intelligent automation system, human intervention comes to work for it and can resolve it. The next time the machine will do the same part for the same problem and this will improve human efforts.

What are the key applications of Artificial intelligence in Automation?

There is a wide range of functions that use Artificial intelligence in automation. Here are listed some of the examples of the combination of AI and robotic business process automation:

1. Fraud Prevention: We can catch the thief, recognizing the face of the person with the number of transactions made by him. A camera is attached to the POS system that records all the transactions and links them directly to the face and other details already present in the system. Also if there is abnormal behavior in transactions, it can be caught by the system.

2. Brand Management: With the use of brand management automation, we can check and analyze all the content of our project on a regular basis and identify critical issues.

3. Customer Service: Chatbots become an important part of every website; the chatbots take inputs from the users and respond to the queries. These bots are already deployed on popular platforms like Facebook Messenger, Slack, Kik, etc.

4. Human Resource Management: The HR department of the company often struggles with the hiring of applicants. This process now becomes easy and the company can upload the requirements of the applicants and in return, they will get the exact profile of matched applicants looking for jobs.

Why should we use intelligent Automation?

There are many benefits of intelligent automation which is why they are highly in demand in the business market. Some of the uses are listed below:

1. It reduces cost - Giving training to a person on recurring work needs a lot of time, money, and patience on another hand if you trained a machine; it is a one-time job, which does not require time, cost, and money.

2. It improves efficiency - It is common that humans can make mistakes, but in case of automation they leave no errors in their work. With time, it learns the output and improves efficiency.

3. New Human Roles - Like computers have minimized the human task, in the same way, artificial intelligence will reduce the human efforts to lower down the recurring workload. Moreover, artificial intelligence will take over all the workload of humans in the coming time.

We at Aress Software have a team of experts who have handled many projects related to artificial intelligence and automation. If you are looking for developers to design an intelligent solution for your organization, get in touch with us today and get solutions for all your business requirements.

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