5 trends in artificial intelligence that dominate the business world

Resorting to artificial intelligence technology may be the "smartest" thing you can do for the benefit of your business or company. One of these tools or processes can bring great benefits, both economically and to increase the productivity of the organization and help human personnel in their work.

Artificial intelligence is defined by IBM in this way “It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to be limited to methods that are biologically observable."

Companies are already experiencing the benefits of AI tools, but they must be attentive to the new trends that are dominating today and here we present them to you.

Five trends in Artificial Intelligence to watch out for

Machine learning will have operationalization tools

Machine learning is a method that all companies worldwide are adopting to automate and optimize the strategies they have in mind for their digital transformation, so there have been certain challenges for artificial intelligence to be able to keep up with what each company needs in its projects.

ML or MLOps operationalization tools have been the quick and effective solution to this problem. According to data from 451 Research's Voice of the Enterprise survey, nearly 3 in 4 companies have invested in MLOps tools or plan to do so in the next 12 months, and we expect MLOps adoption to continue unabated in 2022. Providers Cloud computing companies such as Google LLC and Amazon Web Service offer this technology and are the main providers.

The regulation of artificial intelligence and how it will affect companies

Another trend currently observed is the regularization of artificial intelligence. The adoption of this technology is increasing, so it is normal for it to become a regulated sector, with laws that could affect the use that is given to it by the business sector.

In a survey conducted by SP Global on this topic, two-thirds of respondents stated that they are very or somewhat concerned about government intervention in artificial intelligence. In April 2021, the European Commission proposed the AI ​​Law. The law outlines various categories of risk, and applies stricter regulations and restrictions to use cases that fall within the highest risk categories, such as facial recognition, this being the first example of a regularization.

In other countries, some laws that regulate the use of artificial intelligence have already been implemented, such as in China, which in 2021 implemented its Data Security Law and its Personal Information Protection Law.

Applications of specific use

Global SP experts spoke in detail about this trend, where they noted “We expect to see increased adoption of more advanced use cases, in addition to long-standing use cases, such as financial services fraud detection and churn analysis.” in telecommunications; They understand each other well at this stage.”

They went on to note “What will be most interesting are those who are looking for the next opportunities, such as the use of AI for employee safety in manufacturing, clinical trial analysis in healthcare/life sciences, and analytics. of vision for the inspection of infrastructure in telecommunications”.

Language models

Artificial intelligence is used to understand language, something that has been done for a long time. They are technologies that learn and understand the language by ingesting a huge amount of text and thus build a statistical model that includes the probability of related sentences or paragraphs.

In Forbes they talk about this trend “Language models are getting bigger and more refined in understanding language. Artificial intelligence can process and generate more human interactions while using semantic techniques that improve the quality of its results”.

Multimodal learning

This is a branch of machine learning that is already being used in various industries. This learning is just the system learning from sensory information it receives, such as images, text, voice, sound, and video. “Multimodal learning is important because it helps machines learn to better understand the world. By using multiple forms of input, they can gain a full understanding of objects and events.

These are just some of the trends in artificial intelligence that stand out today, their impact on the business world, and a warning about what as a leader or software engineer you should be aware of to apply in your company.

At Rootstack we are aware of all these trends and we have a certified team of experts to help you in your company, achieve total automation of tasks, and increase productivity to achieve your professional goal.

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