Elevating paradigms for businesses
When it comes to business, having updated and orderly information is key to making important decisions. However, in the hyperconnectivity era, with massive amounts of data being generated every second, conventional tools and methods became obsolete when processing and transforming information into valuable systems.
In response, the business intelligence paradigm has emerged: a modern approach that achieves high-performance levels, and which is supported by predictive models used in applications, infrastructure, and tools that allow greater access, cleaning, transformation, and analysis, to transform data into knowledge.
Our unique and humane approach
At X Eleva we trust that human power, together with strategic and technological collaboration, is the maximum differentiator in an intelligent economy. That is why we focus on elevating profitability by developing Artificial Intelligence designed to increase income, decrease costs, and guide decision-making.
Employing various technologies, such as neural networks, natural language processors, genetic algorithms, among others; we recognize complex patterns and relationships thanks to data. In addition, we work with multidimensional factors to create reliable and robust estimates that take into account multiple perspectives.
Our methodology is characterized by technological planning. We intensively analyze availability and data state, the infrastructure, the culture, and business rules. In this way, we identify the best option for developing the AI systems in the macro-environment by considering facts like the economy, competition, regulation, and industry leaders.” por “Our methodology is characterized by technological planning. We intensively analyze availability and data state, infrastructure, culture, and business rules. In this way, we identify the best option for developing the AI systems in the macro-environment by considering facts like the economy, competition, regulation, and industry leaders.
The engineers’ team creates automated algorithms and statistical methods of machine learning. They train Artificial Intelligence with huge amounts of data, so machines learn and improve at solving tasks.
Cognitive computing is a learning process, in which artificial neural networks and association rules deduce patterns of everyday situations to face real problems. If we discern a specific pattern, then any given problem can be solved satisfactorily, otherwise, the system needs to learn from error to not make it again, and keep improving until it arrives at the best possible solution.
The result is a strategic product capable of collecting, storing, transforming, purifying, and standardizing data; and also processing and visualizing it to indicate new information value.
Our service represents solutions that are easily understandable, and accessible, as well as recommendations of competitive advantages and areas to improve products, enter new markets, and boost efficiency.
Some examples of AI
Chatbots & Virtual assistants
“Best route” and logistics systems
Financial and credit recommendation systems
Ethical AI
Finally, we are conscious of the social challenges and impact of technological transition. We are committed to implementing technology centered on people. Our projects promote data culture democratization and get involved with the organization’s collaborators. Today, more than ever, is the time to set new goals across technological innovation and contemporary thinking. .