In a critical period for artificial intelligence, Meta and Google have presented significant improvements in their AI models. These advances come against a backdrop of accelerating technological evolution. The recent enhancements promise to increase the efficiency and effectiveness of AI models, representing a major turning point in the industry.

2024 has represented a turning point in the implementation of Artificial Intelligence (AI), particularly in the field of Generative AI (Gen AI). According to McKinsey's most recent global survey on AI, 65% of respondents report that their entities make frequent use of this technology, a percentage nearly double that of the previous survey conducted ten months ago. This increase in adoption is evidence of a major transformation towards the acquisition of true corporate value from the AI gene, with the anticipation of a significant or revolutionary effect in different sectors in the coming years.

Since the 1940s, Artificial Intelligence evolves from its mathematical roots to the "Turing Test" in the 1950s. After an "AI crisis" in the 1980s, it resurfaces in the 1990s with the victory of IBM Deep Blue.

Today, the integration of AI with RPA technology is redefining business automation by transforming decisions and processes. What does the future hold for this technological revolution?

RPA and AI are two technologies that have revolutionized the way companies automate their processes and tasks. While both technologies are used to automate business processes, their approaches and capabilities are different. In this article, we will focus on the differences between RPA and AI and how to choose the right technology for each type of business.

The growth of RPA technology in recent years has been very pronounced and has positioned itself as a key technology for companies. Find out how this technology is expected to evolve by 2024.