Pervasive Technologies predicts that AI will center business processes

As a specialist in the development of image recognition solutions with AI, Pervasive Technologies explains the forecasts related to this technology that will focus this year on different industrial sectors, developments and applications.

When the technological trends that will mark the development and processes of a company are analyzed, Pervasive Technologies explains that beforehand it is necessary to raise a question: What are companies looking for?? The answer is simple: lead, innovate and solve problems, they assure

One of the key technologies to support these three objectives is artificial intelligence (IA). According to a study by Gartner, and 80% of executives assure that automation can be applied to any business decision and that they have seen a shift from tactical to strategic use.

Besides, AI is a key element for efficiency, since projects with this technology can be adapted to different needs, company sizes or budgets, helping you do more with less. In this context, There are specific applications of AI that will be a trend throughout this year, like the ones Pervasive Technologies discusses below.

Robotics: Robot training in the virtual world will be possible, since advanced physical modeling will be combined with the ability to simulate, thanks to AI, multiple 3D scenarios really realistic, which will lead to robots with greater capabilities.

Many androids often work in restricted environments without human interaction; With AI technology they will be able to have a better understanding of the environment, which will lead to its greater adoption and use in spaces such as stores, hospitals and hotels.

Besides, AI agents will be able to solve open-ended tasks with natural language instructions and large-scale reinforcement learning, while leveraging core models for agents to analyze any type of request and adapt to new types of questions over time.

Digital twins: in physical processes that are complex will speed up current scientific simulations, which will allow new knowledge and scientific discoveries. The industrial sector will be one of the most benefited by the possibilities of AI. For example, training of autonomous vehicles will be possible in the metaverse.

The automotive world will benefit from AI to test autonomous vehicles across a virtually infinite range of scenarios and environments not possible in real-world testing.. This technology will influence design services, inter alia.

Everything that the industry develops in the real world will go through a prior virtual simulation process. So, Digital twins and the industrial metaverse will be key in digital transformation initiatives, from car manufacturing to art departments.

LLM Applications: with the development of new types of practical applications that can transform languages, text and even images into useful ideas that will be used in a multitude of organizations and types of industries, with images or audios to find information that leads to the development of neural networks for unsupervised machine learning.

Software Advances, that will break down AI silos. Companies have had to choose between cloud computing and hybrid architectures for research and development of this technology, something that can reduce developer productivity and innovation.

The software will enable companies to unify AI pipelines across all types of infrastructure and deliver a single, connected experience for AI professionals., with which companies will be able to balance costs with strategic objectives.

Besides, Generative AI will transform business applications. There is already software that can answer questions intelligently, create content and make discoveries, something that will have an impact on customer service, as well as new business models.

Networks, which are of fundamental importance in future developments. While it is true that many companies will move to the cloud for hardware and software development, Edge design and collaboration will also grow as 5G networks roll out, as they will lead to accelerated deployments of connected robots across industries.

On the other hand, there will be a rethinking of enterprise IT architecture to address growing demand for complex applications and data sets. The objective is that AI can be integrated into the workflows of different industries.

Besides, Companies will look for AI solutions that can meet the objectives, increase efficiency and reduce costs. Of course, They will also seek to optimize and personalize cybersecurity through this technology. The speed and complexity of attacks and defense have exceeded human capabilities, so professionals will use AI in order to make a more effective diagnosis of possible threats.

The cloud will be the fundamental platform, the new computer tool for this technology. Companies will develop AI applications and services that run both on-premises and in the cloud, and this will offer as much security as local solutions, with personalized developments for different types of needs.

Beyond being an isolated technology to be used in specific applications (to a greater or lesser extent), AI is becoming the common thread that will allow companies in very diverse sectors to meet their efficiency objectives, to do more with less and to carry out your task in the smartest way possible, as can be seen during this year.