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IZERTIS participates in the PRAVIA project

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IZERTIS participates in the PRAVIA project

The PRAVIA project “Industrial competitiveness based on enterprise knowledge management via Artificial Intelligence” is set within a context of digital transformation that is impacting various industrial sectors, where the adoption of emerging technologies such as artificial intelligence (AI) and data analytics is helping to optimise operational and decision-making processes.

Industry faces the need to manage large volumes of dispersed data coming from different systems and platforms, without a unified structure that facilitates its use. This reality has driven many industrial companies to seek solutions that integrate and optimise their workflows through advanced data processing and automation technologies.

In this context, PRAVIA represents a transformative solution that enables industrial companies to maximise the value of their existing knowledge by unifying disparate data and improving the efficiency of back-office processes. By facilitating centralised, automated and easily accessible knowledge management, PRAVIA becomes a key tool for organisations to remain competitive and optimise their strategic decision-making in a constantly evolving environment. The overall objective of the PRAVIA project is to transform the way employees interact with business knowledge through the development of an AI-based conversational system. This system will allow natural language queries on documents in various formats, such as Word files, PowerPoint presentations, PDFs and CRM databases, centralising access to key information.

The project involves Performance Specialty Products Asturias (DUPONT, coordinator), Corporación Alimentaria Peñasanta (CAPSA), IDESA Technology & Research Centre, SERESCO, Neo Ingeniería Informática (NEOSYSTEMS) and IZERTIS.

This project has been co-funded by the Government of the Principality of Asturias through the 2024 call of the SEKUENS Hyperautomation R&D+i projects programme and by the European Union through ERDF (file no. IDE/2024/000917).

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