Artificial Intelligence Examples: The Best Applications

Artificial Intelligence examples

Artificial Intelligence Examples: It is a combination of multiple technologies. Also refer as a robot, it will develop to perform analyzes similar to enhanced human reasoning.

They can reason within an immense database in a short time and consider the previously registered parameters. That is, there are several applications.

Companies are increasingly raising their technology levels to optimize processes, sell more, and create unique experiences for their customers. In this context, Artificial Intelligence (AI) is no longer the tip of the iceberg to become part of its foundation.

Creating Processes In ITSM

In ITSM or IT service management, the application of AI is notorious, especially when the outsourcer manages different clients or branches with varying centers of costs.

These organizational characteristics make the management of services much more complex. With an ITSM system developed with artificial intelligence, the outsourced can have a more efficient control and categorization of tickets.

In control, AI solutions can unify tickets and absorb them in different formats, such as when they are performed on the desktop of an employee’s computer, via email, or by phone.

Regardless of the channel, the data will be recorded on the same basis to categorize and prioritize correctly. This means the tickets will be directed to specialists in each area and placed in an execution queue according to the Service Level Agreement (SLA).

Opening And Closing Smart Tickets

Allowing tickets to be opened in any channel and format is essential for the user experience and efficient demand resolution. AI guarantees not only efficiency in the opening but also in tracking and closing the ticket in question.

More Reliable Infrastructure

AI allows the IT sector to perform at its maximum performance and organization. With solutions and analysis of actions, assistance from the Help Desk, and individual specialists, the IT sector reduces failures and delays in response time.

The user satisfaction and trust index, therefore, grow exponentially. This is very important for the strategic role of the sector.

Main Results Of The Use Of Artificial Intelligence Examples

The results of companies using AI are indisputable, and the Getting Smarter by the day study by Tata Consultancy Services showing just that. Of the 835 executives interviewed, those working in corporations that invested the most in AI in 2016 found up to 5 times better gains and cost reductions.

Thus, in addition to these results of significant impact on organizations, it is possible to point out other positive consequences directly linked to the IT sector.

Automation Of IT Sector Routines

Many routines in the IT sector in infrastructure management or Help Desk for users take time, although they do not require a high degree of knowledge to perform.

With the insertion of Artificial Intelligence examples in the sector in IT management systems and other tools, these processes will carry out automatically without the need for human intervention.

This ensures that the sector and its services are more efficient, which can perceive by a company’s users and customers when their needs will meet, or the infrastructure is always at its best.

Implementation Of Strategic IT

The automation of processes promotes the improvement of the time management of the team of IT specialists. As a result, your hours worked can better allocate to strategic activities. Such as support for the board, solutions for expanding the technology park, etc.

Guidance For Preventive Support Actions

Acting strategically by analyzing indicators and reports from IT management software allows the manager to make personalizing decisions. And suggest improvements in the infrastructure. It also ensures that he can analyze user behavior and propose preventive solutions that guarantee the company’s success.

When evaluating the incidence of failures in a specific sector, either in-house or outsourced. IT can identify the need to issue resolutions on good practices, change processes or propose training.

The solutions can generate new earning opportunities for the outsourced company. And simultaneously, ensure that a definitive answer will offer to the end customer.

It also allows for more significant issues that can seriously affect the customer’s internal processes. To identify early enough to minimize any business impact.

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