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.

In an ever-changing financial context, robotic process automation (RPA) and artificial intelligence (AI) are emerging as drivers of transformation. The banking industry, historically associated with long lines and complex processes, is undergoing an unparalleled transformation, largely due to these technologies. However, successful implementation requires a strategic approach that includes not only the deployment of robots, but also the coordination of automation efforts with corporate goals to achieve measurable results.

The artificial intelligence (AI) landscape in China has undergone a sea change with the introduction of Manus, a general-purpose AI agent created by startup Butterfly Effect. As opposed to conventional AI models that focus on answering questions, these new agents are designed to perform complex tasks independently. These agents, rather than mere language models, have the ability to manage workflows, perform complex operations and interact with external tools, implying an essential transformation in the way humans relate to technology.

Hyper-automation has become an essential component of companies' digitization strategies. Transcending mere task automation, it now incorporates artificial intelligence (AI), machine learning (ML), robotic process automation (RPA) and sophisticated analytics to develop intelligent and adaptive systems. This technological revolution is driven by the demand for agility, efficiency and resilience in a rapidly changing business environment.

In a world where efficiency and accuracy determine success, process automation with RPA (Robotic Process Automation) is emerging as a revolution for the manufacturing industry. With the growing need for faster and less failure-prone processes, companies around the world are turning to this technology to overcome conventional challenges and change their operations.

Digital Robots participated in the Diversity Week organized by Navantia, a strategic public company and world leader in naval innovation. During the meeting, our CEO shared a presentation to the Management Committee, focused on the importance of betting on young and diverse talent as a driver of transformation within organizations.

In the field of artificial intelligence, technological advances continue to push the boundaries of what is feasible. Recently, an alarming finding made by Anthropic, a company with expertise in Artificial Intelligence, has activated the debate about the ethical and safety implications of these innovative inventions. Internal evaluations of Claude Opus 4, a model created to transform the behavior of autonomous agents, identified worrying patterns in hypothetical circumstances where their deactivation was unavoidable. This event has highlighted the need to discuss how the independence of these systems can lead to unexpected dangers.

The emergence of cyber risks powered by artificial intelligence is revolutionizing the digital security landscape on a global scale. As they progress, these threats are outpacing the abilities of conventional attacks such as ransomware and phishing, forcing specialists and entities to reevaluate their defense tactics. In this complex environment, preparation and adaptation to reduce the associated risks is crucial.