Artificial intelligence benefits IT departments more in business

According to a recent survey, companies that develop projects based on artificial intelligence have achieved positive results.

According to information systems officials, the contribution of artificial intelligence to security is more than beneficial, as services are found to be more effective.

This article will also interest you: Can artificial intelligence come to the rescue of cybersecurity?

This somehow places this new technology as a kind of panacea for many business issues. Whether it's fighting malware to automating business-managed flows, artificial intelligence is gradually becoming necessary. However, it has been noticed that it is in computer services, that the deployment of artificial intelligence has yielded the best results. Systems have increased significantly in terms of performance, making support services more useful. This encourages even more to extend said technology to all other areas of the company.

The study that demonstrates this effectiveness was carried out by the organizations, InformationWeek, Interop, ITPro Today. To do this, nearly 154 IT professionals were interviewed. These business specialists have been linked at least once to the issue of artificial intelligence. 64% of professionals surveyed confirmed that when using applications using artificial intelligence, very good results were observed. 23% talk about excellent results and 41% refer to good results. To some extent the balance sheet is more than positive.

By doing an in-depth analysis, it seems that the use of artificial intelligence is usually done:

– 54% in predictive maintenance

– 50% in the inventory optimization sector as well as the supply chain

– 50% for manufacturing analysis

– And 63% in the it organisation sector of the company

– 45% plan to use it to improve product support and a customer experience

– 29% plan to use it to improve the IT security sector

– It is observed that 71% of artificial intelligence leaders generally use it in the context of predictive intelligence and security analysis

– 54% apprehends it in the field of assistance

"While critics say the hype around artificial intelligence-based cybersecurity is exaggerated, it's clear that IT departments want to solve their cybersecurity problems at all costs, and judging by this question from our investigation, many of them hope that artificial intelligence will fill that need," notes Sue Troy, author of the survey report. "In the support sector, AI tools use predictive analytics to improve incident management and demand planning decision-making. And AI is used for support service chatbots and smart search recommendations. she adds.

Despite all these good results, the need for expertise is still felt. 67% of specialists who were successful in implementing a solution through AI reported being in constant need of skills, especially in machine learning and data modeling. As for 51% of these professionals, they admit that they are looking for more services in the field of data engineering management. 42% indicate a lack of IT infrastructure skills.

Again, it must be said that safety remains the main concern of professionals approached on the issue of AI and its success.

"44% of them citing this issue as the most important. The second concern is the transparency of models – or the extent to which the inner workings of AI algorithms are visible to users of the technology – is the second concern, cited by 36% of respondents. A high level of transparency can help mitigate bias and promote confidence in the system, but it raises concerns that model explanations can be hacked, making technology more vulnerable to attack. observes Sue Troy. In addition, 3% of respondents consider integrated projects to be problematic.

In addition, among the artificial intelligence technologies that can be integrated in the next 6 to 24 months in the various projects in development, machine learning is the first proposal with 55% of the specialists they confirm. 52% opt for robotic process automation and 53% for deep learning.

Time is also an essential factor for a successful deployment of projects based on artificial intelligence. In practice, it will take nearly 6 months to 1 year to complete a deployment and effective technology based on artificial intelligence. This is validated by 47% of the professionals surveyed. According to 32% or about one-third, we would have to count more tomorrow. At 21%, only 6 months would suffice.

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