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Telefónica Tech acelera su negocio de IA para empresas con 10 centros especializados

June 1, 2024
in Business
Telefónica Tech acelera su negocio de IA para empresas con 10 centros especializados
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Irene Iglesias Álvarez

Noticia

May 31, 20244 minutos

Inteligencia artificial

La unidad de negocios digitales de la telco cuenta con más de 400 profesionales expertos en IA para ofrecer a los clientes un servicio adaptado a las necesidades locales.

La división de negocios digitales de Telefónica, Telefónica Tech, sigue reforzando sus capacidades en inteligencia artificial (IA) para ayudar a las organizaciones a tomar decisiones basándose en datos. El propósito no es otro que permitirles construir negocios más eficientes y resilientes. En la actualidad, cuenta con equipos especializados en IA distribuidos en torno a diez centros globales para proporcionar a los clientes un servicio adaptado a sus necesidades locales y consolidarse como socio tecnológico de referencia para su proceso de transformación digital.

En este sentido cabe destacar que la unidad tech de la telco está conformada por más de 400 profesionales dedicados a la investigación, desarrollo y aplicación de casos de uso de IA para clientes públicos y privados de múltiples sectores de actividad. Una división que no ha dejado de robustecerse tras las compras estratégicas llevadas a cabo en los últimos años para complementar las capacidades ya existentes en esta tecnología. De hecho, los expertos en IA de Telefónica Tech cuentan con más de 150 certificaciones y con una sólida red de partners que complementan su cartera de soluciones.

“Contamos con numerosas soluciones tecnológicas para optimizar los procesos de las organizaciones basándonos en IA y en el enorme potencial que ofrece cuando se combina con otras tecnologías como Internet de las Cosas (IoT), blockchain o con ciberseguridad”, afirma Elena Gil Lizasoain, directora de la unidad de negocio de Inteligencia Artificial y Data en Telefónica Tech. “El conocimiento y la experiencia global de nuestros equipos nos está permitiendo, por ejemplo, ayudar a las empresas a predecir la demanda de sus productos, automatizar procesos, mejorar la toma de sus decisiones y personalizar la experiencia de sus clientes”. Y lo hacen, además, incorporando por diseño los principios éticos definidos por Telefónica para esta tecnología, incluyendo su utilización de manera justa, transparente y explicable, centrada en las personas y teniendo en cuenta la seguridad y privacidad en todo el proceso.

Especialización sectorial y casos de uso

La tecnológica cuenta con productos y servicios de IA adaptados a las necesidades específicas de los diferentes sectores de actividad, siendo la administración pública, la sanidad, la industria y el deporte los ámbitos en los que recientemente se han desarrollado algunos de los proyectos más relevantes.

Así, Telefónica Tech está colaborando en proyectos con varias consejerías de empleo para contribuir a mejorar el funcionamiento del mercado laboral con un modelo basado en competencias profesionales, que permite predecir las que van a ser más demandadas y orientar a los desempleados con recomendaciones de formación. De esta forma se logra mejorar su empleabilidad y un mejor ajuste entre la oferta y la demanda.

En el sector sanitario, ha desarrollado un producto junto a la multinacional Solventum para impulsar la optimización del servicio hospitalario de urgencias. La implementación de IA está permitiendo predecir el número de pacientes que acudirán en los próximos días, qué especialidades requerirán y cuántos de ellos pueden necesitar ser ingresados. El objetivo es facilitar el dimensionamiento adecuado de los distintos servicios para ofrecer una mejor calidad asistencial y experiencia de paciente, además de ayudar a reducir la presión sobre los profesionales sanitarios.

En industria, Telefónica Tech está aplicando IA para explotar los datos generados en la fábrica y facilitar con ello la planificación de la demanda, el mantenimiento predictivo y el control de calidad, evitando paradas en la producción y minimizando el consumo de materias primas. Es decir, la citada tecnología está ayudando a las compañías del sector a ser más productivas, eficientes, resilientes y sostenibles.

El mundo del deporte es otro de los ámbitos en los que la compañía está incorporando intensamente esta tecnología junto al IoT para ayudar a los equipos técnicos a mejorar los entrenamientos de los deportistas, prevenir posibles lesiones y preparar estrategias para cada competición. Así, por ejemplo, la compañía está contribuyendo a que la Real Federación Española de Atletismo esté mejorando el rendimiento de los atletas mediante el uso de dispositivos de medición inerciales y la aplicación de algoritmos de inteligencia artificial y analítica avanzada sobre los datos recopilados.

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