Top 5 AI trends

in 2023


Over the past decade, artificial intelligence (AI) has been integrated into every aspect of our society. From chatbots and virtual assistants like Siri and Alexa to automated industrial machinery and autonomous cars.

The most common technology implemented by AIs like ENAIA today is machine learning, which uses advanced software algorithms designed to perform specific tasks (e.g., answering questions, translating languages) and improve over time, thanks to exposure to increasing amounts of data.

With the current landscape in mind, today we tell you about the most important trends related to the use of artificial intelligence in business and society in 2023.

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The ongoing democratization of AI

AI can only reach its full potential if all companies and organizations can benefit from it, and in 2023 it will be easier than ever as more and more applications make AI available to everyone, regardless of their level of technical expertise. Thus, it will be easier to create your own application, even without knowing how to code, thanks to the growing number of no-code or low-code platforms without the need to call on data scientists and AI software engineers.

Ethical and explainable AI

AI needs data to learn, and that often means personal data. Many of the potentially most useful use cases for AI can be highly sensitive data, such as health information or financial information. If we, the general public, don’t trust AI or understand how it makes decisions, we won’t feel comfortable giving our information away and it will all fall apart. That’s why 2023 will be about trying to overcome the “black box” problem of artificial intelligence.

The role of ethics in AI will also become increasingly important as organizations seek to eliminate bias and unfairness from their automated decision-making systems. Biased data has been shown to influence automation outcomes, which can lead to discrimination and unfair treatment, which is unacceptable in a world where AI plays a decisive role in employment, justice or healthcare.

Generative AI

A growing branch of science is dedicated to creating AI tools and applications that can mimic one of the most unique human abilities: creativity.

Generative AI algorithms take existing data (video, images, audio or even code) and use it to create entirely new content that has never existed in the non-digital world.

Synthesis of audio and video data can eliminate the need to capture movies and video speeches: just enter into the generator what you want to see and hear, and the AI will create it for you.

Increased work

Another trend taking hold in 2023 is that we will increasingly work alongside robots and smart machines designed to help us do our jobs better and more efficiently.

This could be through smartphones that give us instant access to data and its analysis, it could be an augmented reality (AR) headset that overlays digital information onto the world around us, which could provide us with real-time information that helps us identify hazards and risks to our own safety in an industrial environment, indicating when cables may be under stress or when a component may be hot. Managers and management teams will also increasingly have access to real-time dashboards and reports, providing immediate and up-to-date information on operational effectiveness.

Sustainable AI

By 2023, all companies will be under increased pressure to reduce their carbon footprint and minimize their impact on the environment.

Ongoing efforts to implement greener infrastructure powered by renewable energy sources are also part of the move towards more sustainable AI.

But AI can also contribute to sustainability in other sectors and areas of activity: for example, computer vision combined with satellite imagery can help identify deforestation and illegal logging in tropical forests, or illegal fishing affecting species in the oceans.

Artificial Intelligence is a revolution. Take advantage of it to optimize your company regardless of your sector or size and improve your processes with ENAIA our autonomous AI, Multimodal and in constant learning, without large investments, in a simple way and without the need for programming or AI knowledge.

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