Why will artificial intelligence become indispensable for IT in 2020?

Porque é que a inteligência artificial se tornará imprescindível para a área de TI em 2020?

Artificial intelligence is an area that aims to make systems capable of perceiving their environment and capable of autonomous decision making. The goal is to increase human capacity to solve problems, using logical reasoning and recognizing patterns. Artificial intelligence has been evolving over the last few years and companies are increasingly looking for solutions of this kind. In today’s article, we will see what we can expect from this technology by 2020 and understand why artificial intelligence will be a must next year!

What is the current landscape of IT management?

We live in an increasingly digital age where business success depends on the technologies used. Performance issues (spikes, computer attacks, etc.) lead to financial losses and IT operations need to work more efficiently. Business and digital technologies are increasing the volume, speed and variety of data. Correlating and manually analyzing data and alerts is becoming increasingly difficult for IT operations staff with siled tools spread across mobile devices, the Cloud and the mainframe.

IT operations suffer from too much noise because there are so many events and too many processes and it is humanly impossible to keep up with everything that goes on. The solution is to achieve more efficient management at reduced costs, which is why Gartner coined the term “AIOPS: Artificial Intelligence for IT Operations”. This new term aims at a culture change to achieve more agile processes and is expected to be adopted next year.

Why is artificial intelligence so necessary in IT management?

IT Infrastructure Reinvention

New technologies have created environments that are not just a single physical structure. Today’s IT environments include the Cloud, third party services, mobile devices, and more. Traditional management is no longer able to cope with the complexity of this new environment.

Big data

IOT devices, APIs, and mobile applications have increased the number of exponentially generated data, making analysis difficult.

Most demanding consumer

New technologies have changed the behavior of users. Today we are all less patient to wait for a problem to be resolved. The solution has to be immediate and IT management has to be fast enough to respond to user demands.

Edge computing

The benefits of this technology, such as advanced processing and analytics, aligned with the ease of cloud infrastructure, motivate companies to build their own IT solutions.

Challenges of artificial intelligence in 2020

This new way of managing information technologies with artificial intelligence presents numerous challenges. First of all is resistance to change. There is still some distrust of artificial intelligence and there is a fear that task automation will endanger people’s jobs.

Another challenge concerns data disorganization. Most companies do not have data in an organized way and Artificial Intelligence works entirely based on reading information to perform its function. When you read wrong information, you create wrong patterns.

Finally, another challenge of this sector is the lack of planning. Some companies deploy AI so as not to be out of the market or because the competitor deployed and had a good result. However, each case is a case and if there is no planning on what the company expects from the machine and if there is not enough well-structured data, all investment falls apart. You need to do market research and evaluate the pros and cons of technology and its applicability to the business.

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