Products & ServicesData & AI & IoT

Data & AI & IoT

The growing recognition of the importance of data: a key shift in modern organizations

General Information

Data & AI & IoT

Organizations increasingly value data and its implications

Organizations are becoming more aware of the importance of the data they handle, as well as the consequences, both positive and negative, that result from its proper management.

The growing awareness of the importance of data and its management drives us to formulate a proposal structured around four essential pillars:

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Data governance

Establish a regulatory and control framework for effective and secure data management.

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Integrated platforms

Integrated platforms for capturing, transforming, storing, and analyzing: Implement unified systems that facilitate the flow and processing of data from its origin to its analysis.

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Solution implementation

Implementation of advanced analytics solutions: Deployment of tools for in-depth data analysis, enabling the detection of relevant elements or facts and facilitating informed decision-making.

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Artificial intelligence models

Development of artificial intelligence models: Create advanced AI models that learn from data and optimize processes, predictions, and decision-making.

Skills

Machine Learning and AI
Data governance
Data platforms
Data analysis

Machine Learning and AI

Data analysis can be considered static in that it allows humans to make decisions based on current information. In contrast, artificial intelligence models offer a more dynamic perspective: data itself, carefully modulated to avoid biases, guides and defines future processes.

Our proposal focuses on assisting organizations in designing and training artificial intelligence models. We are committed to developing explainable AI, striving to avoid, as much as possible, 'black-box' solutions that lack transparency in their processes and decisions.

Data governance

As the data culture solidifies, organizations begin to better understand the needs of its governance. It is crucial to know the origin and treatment of data, as well as the ability to establish clear and auditable policies for data access. Our proposal focuses on assisting organizations in analyzing and defining their data strategy, implementing the necessary tools to execute this strategy, and, above all, providing continuous support during its institutionalization.

Data platforms

The ecosystem comprising architectures, platforms, libraries, and applications intended for data capture, processing, and analysis is vast. Our mission as integrators includes a detailed understanding of many of these tools and the careful selection of a suitable subset. This enables us to provide clients with solutions tailored to their specific needs, considering the typology, volume, and criticality of their data.

Data analysis

Data analysis represents a unique combination of science and art. Our proposal focuses on providing both the tools and methodology needed to assist clients in uncovering hidden information within the data. This involves helping in each step of the process to define the most appropriate perspectives or types of representation that reveal this information, thus facilitating more informed and effective decision-making.

Palatine

Palatine. A modular system designed to simplify the implementation and management of IoT solutions.

Learn about Palatine

Success Stories

Discover the world of knowledge.

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