In 2024, hyper-automation is radically transforming industries through the incorporation of cutting-edge technologies such as artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA). This innovative approach transcends the boundaries of conventional automation, making it easier for entities to automate complex cognitive functions that previously required human involvement. By examining the most relevant usage examples, we discover how hyper-automation is transforming operational efficiency and customer experience.

2024 marks a significant milestone in the adoption of generative artificial intelligence technologies globally. A recent McKinsey Global AI Survey report reveals that 65% of organizations now regularly use generative AI, nearly double the percentage seen just ten months ago. This accelerated growth is due to the tangible benefits these technologies bring to multiple business functions and increasingly effective risk management. From marketing support to product development, artificial intelligence is transforming the way organizations operate, while facing challenges inherent in its implementation.

In recent years, robotic process automation (RPA) has established itself as an essential tool for improving business efficiency. Moving from 2023 to 2024, RPA is in an expansion phase with new technologies and processes that are transforming the way businesses operate. According to the Gartner Magic Quadrant Report for RPA Software, companies like UiPath have led the way by adapting to these new trends. This article examines emerging trends in RPA, current statistics and best practices for scaling these technologies in organizations.

In an increasingly interconnected world, artificial intelligence (AI) is positioning itself as one of the most influential and transformative technologies of the 21st century. As we move towards 2024, AI is not only revolutionizing industries, but is also generating fervent debate about the regulation and ethical framework that should govern its development. Through groundbreaking research and a series of regulations proposed by entities such as the United Nations (UN) and the European Union (EU), this year looks to be a crucial turning point in the evolution of artificial intelligence. Let's explore the trends, research and regulations that will dominate the field of AI in 2024.

In a world where operational efficiency has become the mantra for survival, financial sectors are moving into technologies that will radically transform them. In this context, the combination of Robotic Process Automation (RPA) and Artificial Intelligence (AI) is emerging as a catalyst for change. This integration is not only redefining back-office processes, but is maximizing customer satisfaction and service delivery. The adoption of these technologies promises not only to drive efficiency and cost savings, but also to usher in an era where operations become more agile and contextually intelligent.

Artificial Intelligence (AI) has ceased to be science fiction and has become an omnipresent reality in our daily lives. From virtual assistants to autonomous vehicles, its applications are numerous and varied. However, this dizzying growth poses significant ethical challenges that require attention to ensure responsible and beneficial use of such technologies. Bias, lack of transparency, privacy and control are some of the concerns that societies must address to make the most of AI.

In an essay titled The Age of Intelligence, OpenAI CEO Sam Altman explores the possibility of artificial superintelligence (AI) emerging in the next few thousand days. Altman highlights the transformative impact of deep learning on technology and society, hinting that AI could bring about unprecedented breakthroughs in sectors such as education and healthcare. While he acknowledges the challenges and risks inherent in AI development, his outlook is optimistic about the technology's potential to improve global prosperity. In his essay, Altman emphasizes the urgency of building an adequate infrastructure to ensure universal access to AI, preventing it from becoming a limited resource available only to the wealthy.

In recent years, both artificial intelligence and artificial intelligence have dramatically changed the way businesses and governments approach cyber threats. As technologies progress, so do the strategies employed by cybercriminals, making cybersecurity a field of increasing relevance and complexity. In 2024, projections indicate that the merger of Artificial Intelligence and cybersecurity will continue to be a crucial approach in the face of the approaching threat landscape. This article examines this year's projections, emphasizes the position of cybersecurity in the future of Artificial Intelligence, and presents the visions of industry leaders leading this technological revolution.

In an increasingly competitive and dynamic corporate environment, hyper-automation is emerging as one of the most relevant forces of change for 2024. By combining cutting-edge technologies such as artificial intelligence and data analytics, companies can refine processes and significantly increase operational efficiency. This technology not only changes the corporate landscape, but also reinterprets the ways in which companies address market challenges. In this brief, we examine the most prominent hyper-automation trends in Business Process Management (BPM) and the implications they will have for companies in the near future.

Artificial intelligence (AI) has reached a critical point in its development, often surpassing human performance in basic tasks such as reading comprehension, image classification and competitive-level mathematics. This equitable advancement has rendered numerous conventional assessment standards outdated, creating a compelling need to develop new ways to evaluate the abilities of AI systems. Stanford University's AI Index Report 2024 highlights this progress and the need to develop renewed benchmarks to effectively assess these innovative systems.

In a world where artificial intelligence (AI) is progressing at a rapid pace, the importance of an ethical approach has become essential. Luciano Floridi, administrator of the newly opened Yale Center for Digital Ethics, is spearheading efforts to ensure that this booming technology is managed in an equitable and conscientious manner. With an extensive background in digital philosophy, Floridi provides valuable insights on how to manage and employ innovative AI technology, ensuring that its effect is beneficial and considerate of human rights.

Artificial Intelligence (AI) has been revolutionizing various industries for years, and 2024 stands out as a key year for its progress. This year, rising trends not only promise to incorporate AI more deeply into our daily lives and industrial areas, but also present new possibilities and ethical challenges of great relevance. From sophisticated automated learning methods to human-AI cooperation, the AI landscape is undergoing drastic transformations that are not only reshaping its role in our society, but also dictating guidelines on how to handle appropriate ethics and responsible application.

The convergence between automation and artificial intelligence (AI) is projected to be a factor of change in the business sector by 2024. This phenomenon will not only aim to increase efficiency and productivity, but also anticipates essential transformations in the nature of work. This brief discusses the seven most relevant trends in automation and AI that business managers must understand and assimilate to stay ahead of the curve in an increasingly competitive marketplace.

In the financial sector, marked by its complexity and strict regulations, Robotic Process Automation (RPA) is emerging as a significant change. This technological progress is enabling financial institutions to automate repetitive tasks in order to reduce errors and increase efficiency. By 2024, the application of RPA in the financial sector has reached its peak, driven by technological advances and the imperative need to remain competitive in an ever-changing market. Financial institutions now have the ability to manage complex processes with an accuracy and speed never seen before, thus transforming the industry landscape.

The announcement that SAP has been distinguished as a contender in the Gartner Magic Quadrant for Robotic Process Automation (RPA) in 2024 had a significant impact on the technology sector. This recognition emphasizes SAP's ability to deliver and its comprehensive vision in the growing automation sector. SAP Build Process Automation, an artificial intelligence-driven solution, is established as a robust platform that merges workflow management, task automation and decision management into a complete cloud solution, running on the SAP Business Technology Platform (SAP BTP).

In a world where artificial intelligence (AI) is progressing at a rapid pace, a vital question arises: can AI overtake human CEOs in strategic decision-making? Recent research from the Harvard Business Review explores this issue, showing both the advantages and constraints of AI in the business sector. This study not only generates curiosity about the effectiveness of Artificial Intelligence in certain functions, but also about its ability to replace human leaders. As we analyze this topic, it is crucial to understand how AI and human intelligence can coexist and complement each other to achieve a more robust and effective business strategy.

Hyper-automation is a key strategy for today's enterprises, integrating various technologies to automate processes in an end-to-end manner. At FlowFest'23, Gartner's Paul Vincent highlighted the importance of Enterprise Technologists and Fusion Teams, which enhance collaboration between IT and business, promoting open standards and Software as a Service (SaaS) to drive innovation.

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.

Robotic Process Automation (RPA) will continue to transform businesses in 2024, driven by artificial intelligence, democratization of its use through low-code platforms, and improvements in security. Businesses of all sizes are expected to gain easier access to RPA, while aspects such as sustainability and ethics in automation will gain prominence. These trends will ensure that organizations optimize their operations and remain competitive in an ever-changing digital environment.