IBM Joins in the Development of the First Spanish AI Model with Use Cases
IBM is preparing to launch the first Artificial Intelligence (AI) model in Spanish, a significant breakthrough for the Spanish-speaking community. This model, developed with open source data, seeks to overcome language barriers in the field of AI, enabling businesses, educational institutions and governments to leverage technology in Spanish to automate and improve processes. Supported by the Spanish government, this project aims to transform digital innovation through collaboration with academic and corporate institutions, highlighting the commitment to the global accessibility of AI.
An Artificial Intelligence model revolutionizes the way we examine crystalline materials.
An artificial intelligence model developed by MIT revolutionizes the study of crystalline materials, streamlining and improving the accuracy of the analysis of complex atomic structures. This breakthrough, unveiled in 2024, uses X-ray crystallography data to rapidly predict the structures of these materials, reducing human error and accelerating research in areas such as batteries and magnetic materials.
Integral Strategy for Artificial Intelligence in Spain 2024: Boosting the Economy and Society
Spain's AI Strategy 2024 seeks to integrate artificial intelligence into the economy and administration. It promotes supercomputing, the development of linguistic models in Spanish and co-official languages, and an ethical approach to the use of AI. It also supports SMEs in their digitalization to drive innovation and economic growth.
Artificial Intelligence in Healthcare: New Horizons for Medical Care
Artificial intelligence (AI) is generating significant changes in many sectors, and healthcare is one of the most affected. The use of AI in this field is transforming medical care by making it more efficient, accurate and personalized. This technology is reshaping everything from disease diagnosis to personalized treatment design, posing new paradigms and challenges. This paper discusses the effects and possibilities of artificial intelligence in healthcare, as well as the potential for revolution it brings.
Artificial Intelligence: Key to successful marketing personalization
Artificial Intelligence (AI) is transforming marketing, enabling advanced personalization that improves customer experience and increases conversion rates. Thanks to predictive segmentation and dynamic automation, companies can deliver campaigns that are more relevant and tailored in real time to each customer's needs. This personalized approach strengthens the relationship with the brand and fosters loyalty and retention. Implementing AI-based strategies is essential to optimize marketing and achieve better results.
RPA strategies to maximize sales conversions
Robotic Process Automation (RPA) has become a key tool for maximizing sales conversions by automating repetitive tasks and optimizing the use of time. By implementing strategies such as automated lead tracking, CRM updating and automated customer segmentation, companies can improve their efficiency and accuracy. This allows sales teams to focus on strategic tasks, increasing conversion rates and customer satisfaction. Contact us to find out how we can help you integrate RPA into your sales processes.
Benefits of integrating RPA with ERP: Savings and Efficiency
Integrating RPA with ERP systems enhances the automation of key processes such as inventory management, invoicing and accounting reconciliations, achieving greater efficiency, error reduction and operational scalability, without the need to modify the ERP infrastructure.
How RPA revolutionizes the supply chain and improves efficiency
Robotic Process Automation (RPA) is transforming the supply chain, optimizing tasks such as demand planning, inventory management, and shipment tracking. By automating repetitive processes and reducing human error, RPA improves efficiency, reduces operating costs and enables companies to focus on strategic decisions, delivering a faster and more accurate operation.
Microsoft introduces Phi-3.5, advancing the race for AI leadership
Microsoft has launched the Phi-3.5 series, a new line of open source AI models offering high performance and accessibility. With three specialized models and a lightweight design, Microsoft seeks to democratize AI technology and position itself as a leader in the field, competing directly with Google, Meta and OpenAI.
The Impact of Artificial Intelligence on Logistics and Transportation: Transforming Safety and Efficiency
The rapid advancement of Artificial Intelligence (AI) is transforming the logistics and transportation sectors, significantly improving safety, efficiency and sustainability. As companies around the world integrate AI into their operations, they experience increased productivity, more reliable deliveries and better adaptation to market changes.
Artificial Neural Networks: The Technology Inspired by the Human Brain
Artificial neural networks, inspired by the human brain, are central to today's artificial intelligence. These networks, composed of layers of nodes or "neurons," learn and make decisions based on data. With applications in areas such as autonomous cars and medical diagnostics, they stand out for their ability to handle large volumes of information and detect complex patterns. However, they are data-intensive and computationally intensive. As technology advances, these networks continue to transform various aspects of everyday life.
McKinsey & Company: AI, Automation, and the Future of Work. Ten Challenges to Solve
The advance of automation and artificial intelligence is transforming the labor market, automating routine tasks and demanding new human skills such as creativity and critical thinking. This change, while creating new opportunities, also poses challenges such as the need to reform education and manage the psychological and occupational impact of this transition. Adaptability and collaboration between leaders and workers will be key to an inclusive and balanced working future.
Meta Launches Llama 3: A New Milestone in Open Language Models
Meta has released Llama 3.1, its most advanced language model to date. This new open source model outperforms its predecessors in accuracy, comprehensibility and adaptability. Llama 3.1 has been trained on a huge amount of data, allowing it to generate more coherent and natural text. It is also more resource-efficient, making it easier to use on different devices. With this new tool, Meta seeks to democratize access to artificial intelligence and foster innovation in this field.
The 5 keys to implement automation in Human Resources
Implementing RPA in Human Resources improves efficiency and allows staff to focus on strategic tasks. It is essential to align RPA objectives with the organization's strategy, properly select the processes to be automated, evaluate available technologies and integrate solutions with existing systems. In addition, managing user expectations and starting with small projects ensures a successful transition.
The 4 tools for process and project automation
Technology is key to optimize business processes, allowing to automate tasks, improve efficiency and reduce errors. Tools such as CRM, ERP, project management and process automation facilitate organization, integration and speed in daily operations. This translates into a more efficient use of human resources and savings in time and money.
Preparing Our Little Geniuses for an AI Future
Artificial intelligence (AI) is transforming our lives. To prepare children, it is crucial to teach programming and STEM disciplines to develop analytical skills. In addition, fostering critical thinking, creativity and emotional intelligence is essential. Personalized education and ethics in technology are also critical in this AI-dominated era.
OpenAI launches its new improved model: ChatGPT 4o mini
OpenAI has announced the development of GPT-5 and has released GPT-4o Mini, a lighter and cheaper version of its advanced GPT-4o model. It offers significant improvements in capabilities, excels in reasoning, mathematics and programming, outperforming other small models in multimodal performance testing and user interaction. GPT-4o Mini.
Educational Revolution: How Generative AI Is Transforming Learning
Generative Artificial Intelligence is revolutionizing education by personalizing learning and automating tasks. However, its implementation poses challenges in privacy, bias, and accessibility that require ethical and regulatory attention.
Digital Robots leads the future of Educational AI at EducaIA event at Microsoft headquarters
Digital Robots participated in Microsoft's EducaIA, addressing the future of artificial intelligence in education. Alejandro Máñez, CEO, highlighted the impact of AI on learning. With 1,500 in-person and virtual attendees, the event promoted discussion and global collaboration. Digital Robots is proud to have contributed to this transformative experience.
The Customer Service Revolution with Artificial Intelligence in 2024
Artificial intelligence (AI) is transforming customer service, enabling companies to offer more efficient and personalized service. In a competitive market, fast and effective customer service is crucial to retaining customers. Investments in AI, especially chatbots, are automating processes and improving the cost-effectiveness of customer service. By handling frequent inquiries, AI frees employees to focus on more complex tasks, improving the customer experience and fostering loyalty.