SINNETIC

HOW WE CAN SUPPORT THE SECTOR
OF TELECOMMUNICATIONS:

Social distancing led to a massive integration of digital tools in personal and professional spheres. This new panorama poses several challenges for the ICT industry: the consolidation of 5G, the efficiency in the user experience, the integration of cloud services, the protection of personal data and cybersecurity, among others.

Faced with the new needs of the telecommunications user, how to anticipate and optimize their use and service experience?

At SINNETIC we have developed high-impact solutions to determine and predict the way we will communicate. Therefore, through qualitative and quantitative research techniques, as well as data analytics, we explore the digital footprint of its users. We analyze trends and technology gaps, segment to detect growth opportunities and explore the user experience with each innovation to anticipate and act throughout its journey.

Natural Language processing para ejecutivos de marketing

Gabriel Contreras February 8, 2021

Servicios Cognitivos Inteligencia artificial Machine learning

Los primeros 20 años de este siglo, se enfocaron en desarrollar tecnologías para administración y utilización de información estructurada ¡Información que suele estar en bases de datos relacionales, s...

CONTACTLESS: Pagos digitales

Carlos Frias March 2, 2021

Servicios de Insights Pagos digitales ecommerce

Antecedentes Parte de las tecnologías financieras que han crecido en los últimos años se ha centrado en mejorar los procesos de pago que hacemos día a día y combatir delitos como la clonación de tarje...

¿Cómo entender la inteligencia artificial - Machine learning?

Gabriel Contreras February 5, 2021

Inteligencia artificial Machine learning

En SINNETIC, nuestra unidad de servicios cognitivos, desarrolla modelos analíticos y de inteligencia artificial para resolver retos de negocio. Desde aquí observamos cómo la inteligencia artificial se...

Natural Language processing para ejecutivos de marketing

CONTACTLESS: Pagos digitales

¿Cómo entender la inteligencia artificial - Machine learning?

Consumer psychology, behavioral economics, applied neuroscience, consumer anthropology.

Data analytics, Big Data, Artificial intelligence.