Trends that will Revolutionise Business Artificial Intelligence in 2023

Beyond digitization and sustainability, changes that are inevitable for any company that wants to lead its sector in 2023, there is a growing demand for the humanization of products and services.

Thus, it is not surprising that 42% of companies declared that one of their priority strategies for 2023 was to create a “more human experience”, according to data from Emergent Research. 

Specifically, health, banking, insurance, education, telecommunications, marketing, retail and automotive are the main sectors that will continue to bet heavily on artificial intelligence to interact with customers, sell their products, present their companies, etc.

In short, the application of artificial intelligence, especially when it comes to offering more humanized experiences, thanks to the popular ChatGPT or even the application of digital humans, has come to stay, as Big Data or Blockchain did long before, tools that serve multiple purposes and are only limited by the imagination of their designers.

For this reason, We humans point out that the main technological trends of 2023 will be aimed at making these advances and their business applications more accessible to the bulk of society.

Significant development of generative AI

Launched in November 2022, ChatGPT has caused a sensation not only for its detailed responses on a wide range of topics but also for its ability to use a coherent, human-like narrative and criteria to reject inappropriate requests. Or question incorrect premises. Trained, refined, and enhanced by humans from trillions of words ripped from the internet, it uses sophisticated computer algorithms to analyze large numbers of words and string together new phrases.

In 2023, AI trends point to a significant development of generative AI. Natural language processing has already experienced a giant leap forward thanks to ChatGPT. Beyond its continuous improvement -it is expected a GPT-4 up to 500 times larger-the focus will also be placed on the generation of natural language models added to models for the generation of videos or images.

More excellent controls on privacy and ethics issues

Another critical aspect of the development of AI for 2023 will be the work on the development of ethics for AI. In this sense, trends such as AI TRISM support the governance, trust, fairness, reliability, robustness, effectiveness and data protection of the AI ​​model. Combining various methods helps explain AI results, actively manage AI security, and provide checks for privacy and ethics issues.

Consolidation of digital humans

Finally, the consolidation of digital humans as the ideal interface to interact with AI in order not to lose the human aspect of communication. It is a technology endowed with the capacity for learning, movement and simulation of feelings. Among other functions, digital humans have built-in voice recognition and facial recognition functions to incorporate empathy, non-verbal communication techniques, and emotional intelligence techniques. 

Digital humans will begin to populate the healthcare, retail, banking and insurance sectors, and their global market is estimated to reach $530 billion by 2030, according to Emergent Research.