Artificial intelligence (AI) has been incorporated significantly into everyday life, simplifying tasks and providing emotional support. However, its increasing use raises questions about how it impacts our mental capacity. This article examines the potential detrimental effects of AI on our reasoning, biases, and the decline of fundamental cognitive abilities.

The merger of Robotic Process Automation (RPA) and Machine Learning (ML) symbolizes a radical change in the way companies deal with automation. This synergy, instead of being restricted to monotonous and repetitive tasks, enables dynamic and adaptive processes that increase efficiency, reduce costs and lead to innovation in various industrial sectors.

Artificial intelligence (AI) is rapidly revolutionizing financial tasks, particularly in the fields of financial planning and analysis (FP&A) and the role of the chief financial officer (CFO). Faced with an ever-changing environment, companies are looking for tools that provide speed and accuracy in making strategic decisions, and Artificial Intelligence is the ideal partner to achieve this. This technological advancement not only automates everyday tasks, but also drives detailed and predictive analytics, enabling finance teams to create value and be ready for the challenges ahead.

Robotic process automation (RPA) is undergoing an accelerated stage of transformation, driven by the incorporation of Artificial Intelligence (AI). This evolution is not only changing how companies optimize their operations, but also redefining the future of repetitive work and operational decisions. As AI integrates with RPA, the ability of these systems to execute complex tasks is expanding, spanning more and more industries.

Customer experience (CX) has transcended being a mere add-on to become a crucial element for business success. In a world characterized by digitization and continuous transformation, companies are becoming more reliant on artificial intelligence (AI) and real-time analytics to understand and refine every interaction. This approach not only makes it possible to anticipate consumer demands, but also to adapt quickly to their expectations, transforming challenges into possibilities for sustained expansion.

In a corporate environment where artificial intelligence (AI) and robotic process automation (RPA) are attracting increasing attention, many companies are facing the same challenge: how to transition from preliminary projects to scalable strategies that deliver real value. Dr. Rishi Kumar, a digital transformation specialist, addresses this issue in his writing, providing guidelines for turning aspirations into tangible results.

The expansion of intelligent automation has the potential to revolutionize the workplace. However, recent research from Stanford University shows an alarming mismatch between what artificial intelligence startups are generating and what employees actually require. This phenomenon is causing them to waste considerable resources on solutions that do not address the challenges they face every day.

Artificial intelligence has emerged with the goal of revolutionizing every sector of the marketing industry. In the contemporary era, traditional methods are being challenged by rising technologies such as robotic process automation (RPA) and generative artificial intelligence. As these intelligent tools take over, marketing is moving towards a new model where efficiency and personalization are predominant.

In the changing scenario of the banking industry, Westpac Banking Corporation has stood out as a benchmark in the implementation of process and function mining technologies. Westpac, through its Process Intelligence and Automation Center of Excellence, has implemented these tools with the objective of fostering efficiency, transparency and innovation, which represents a significant advance in the digitization of the financial sector.

In an enlightening interview with MIT Technology Review, Jared Kaplan, co-founder and chief scientific officer of Anthropic, explains how artificial intelligence (AI) agents are revolutionizing human-AI cooperation. These evolving agents are beginning to be incorporated into reality, signaling a new stage in which autonomous labor powers today's workflows.

In a world of rapidly advancing technology, companies are continually pursuing innovation to deliver outstanding customer experiences. Recently, at the 8×8 Analyst Summit, 8×8 presented its vision for the future of customer experience (CX), focusing its strategy on artificial intelligence (AI) and robotic process automation (RPA). This approach promises to radically change the way companies interact with and satisfy their users, thus revolutionizing the industry.

Amid economic and operational constraints, U.S. federal entities are faced with an urgent need to innovate. The implementation of artificial intelligence (AI), particularly through technologies such as process and task mining, stands out as an essential response. This text examines how these tools are changing government activities, increasing efficiency and promoting transparency.

In the contemporary technological scenario, artificial intelligence (AI) is not merely an extra resource, but has become an essential component for the competitiveness of organizations. The article, motivated by the findings of the Uptime Institute's most recent AI infrastructure study, shows how organizations are rapidly modifying their infrastructures to meet the demands of AI-shaped hyper-automation.

Digitization continues to progress at a rapid pace, and Low-Code and No-Code (LCNC) platforms have established themselves as an essential instrument in this process. These technologies are not only transforming application development, but are also reshaping the role of the IT domain in business management. This text analyzes how these platforms are transforming the way organizations manage technology, security and operations.

In a corporate environment marked by increasing complexity and fluctuation, companies are facing unprecedented challenges in managing their processes. Although essential, automation is no longer enough to maintain competitiveness. In this framework, hyper-automation, a more advanced methodology that combines artificial intelligence and machine learning to drive business processes, is presented. The VentureBeat article, written by Jan Gilg of SAP, examines how this strategy can improve business efficiency, highlighting the transition from simple task automations to full orchestration.

Digital workers, a workforce powered by artificial intelligence, are transforming the contemporary workplace. These advanced artificial intelligence systems not only perform monotonous tasks, but also cooperate with human teams to increase productivity and innovation in the business environment. In this text, we investigate the incorporation of this technology in the daily activities of companies and its future consequences.

During the first half of this year, artificial intelligence has demonstrated its ability to transform industries and societies in ways never seen before. By focusing on the converging forces of computing, data, algorithms and robotics, we perceive an ecosystem that collaborates to drive innovation. This interim study shows that advances in Artificial Intelligence are not only driving technological change, but also social and economic transformation.

Robotic Process Automation (RPA) has emerged as an essential tool for companies on their path to digitization. Its ability to automate repetitive tasks, which were previously arduous and susceptible to human failure, has led to a notable increase in efficiency and productivity. In addition, the incorporation of artificial intelligence (AI) has transformed their operation, enabling bots not only to perform tasks, but also to understand and manage complex data.

In an increasingly competitive corporate environment, technology is emerging as a never-before-seen driver of transformation. One of these revolutionary developments is generative Artificial Intelligence, which is radically transforming digital transformation in organizations. It is not only about optimizing procedures, but also about conceiving new business models and experiences. This article will investigate how generative Artificial Intelligence fosters innovation and promotes faster strategic decision making.

Digital transformation is essential for today's enterprises, and in this scenario, low-code/no-code (LCNC) platforms and robotic process automation (RPA) are transforming companies' technology tactics. This article discusses how these tools have gone from being transitory trends to transforming into key enablers of a more agile and rapid digital transition in different industries. Through his personal experience in banking and enterprise IT, Sarkar provides a firsthand perspective on how these technologies are empowering teams to achieve increased productivity and operational efficiency.