{"id":3013,"date":"2024-10-10T10:42:06","date_gmt":"2024-10-10T08:42:06","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/solution\/datos-sinteticos\/"},"modified":"2025-10-16T09:29:30","modified_gmt":"2025-10-16T07:29:30","slug":"datos-sinteticos","status":"publish","type":"solution","link":"https:\/\/www.mosaicfactor.com\/es\/solution\/datos-sinteticos\/","title":{"rendered":"Datos Sint\u00e9ticos"},"content":{"rendered":"<p>[et_pb_section fb_built=\u00bb1&#8243; admin_label=\u00bbsection\u00bb _builder_version=\u00bb4.27.2&#8243; custom_margin=\u00bb||0px||false|false\u00bb custom_padding=\u00bb||0px||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_row admin_label=\u00bbrow\u00bb _builder_version=\u00bb4.27.2&#8243; background_size=\u00bbinitial\u00bb background_position=\u00bbtop_left\u00bb background_repeat=\u00bbrepeat\u00bb width=\u00bb100%\u00bb custom_margin=\u00bb||0px||false|false\u00bb custom_padding=\u00bb0px||0px||true|false\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_column type=\u00bb4_4&#8243; _builder_version=\u00bb4.16&#8243; custom_padding=\u00bb|||\u00bb global_colors_info=\u00bb{}\u00bb custom_padding__hover=\u00bb|||\u00bb theme_builder_area=\u00bbpost_content\u00bb][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb custom_margin_tablet=\u00bb||2em||false|false\u00bb custom_margin_phone=\u00bb||2em||false|false\u00bb custom_margin_last_edited=\u00bbon|tablet\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n<p>Los datos sint\u00e9ticos son <em>datos artificiales generados a partir de datos originales<\/em> utilizando un modelo entrenado para reproducir sus caracter\u00edsticas y estructura.<\/p>\n<p>As\u00ed, ayudamos a empresas a superar los desaf\u00edos relacionados con la ciberseguridad, la privacidad y la confidencialidad de los datos mientras utilizamos t\u00e9cnicas avanzadas de modelado de informaci\u00f3n e inteligencia artificial.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb header_3_font=\u00bb|||on|||||\u00bb header_3_font_size=\u00bb28px\u00bb header_3_line_height=\u00bb1.2em\u00bb custom_margin=\u00bb||1em||false|false\u00bb custom_margin_tablet=\u00bb||0em||false|false\u00bb custom_margin_phone=\u00bb||0em||false|false\u00bb custom_margin_last_edited=\u00bbon|tablet\u00bb header_3_font_size_tablet=\u00bb28px\u00bb header_3_font_size_phone=\u00bb20px\u00bb header_3_font_size_last_edited=\u00bbon|phone\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n<h3>Gestionando la gobernanza de datos<\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb custom_margin=\u00bb||||false|false\u00bb custom_padding=\u00bb||||false|false\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n<p>Los datos sint\u00e9ticos pueden funcionar como una tecnolog\u00eda de privacidad mejorada (Privacy Enhanced Technology, PET en ingl\u00e9s): aplicando la protecci\u00f3n de datos desde el dise\u00f1o algor\u00edtmico en casos en los que se usan datos personales. Los datos sint\u00e9ticos ofrecen una soluci\u00f3n para superar las limitaciones de acceso a datos reales, permitiendo testar, entrenar algoritmos y desarrollar aplicaciones sin exponer informaci\u00f3n sensible. En el desarrollo, los tests y la validaci\u00f3n de servicios de aprendizaje autom\u00e1tico, en los que los datos reales no est\u00e1n disponibles en cantidades suficientes, los datos sint\u00e9ticos tambi\u00e9n desempe\u00f1an un papel crucial.<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Cumplimiento del RGPD. <\/b><span style=\"font-weight: 400;\">Garantizamos la privacidad de los datos m\u00e1s all\u00e1 de la simple anonimizaci\u00f3n y evitando la necesidad de agregar datos compartidos con los proveedores. Lograr un equilibrio entre la privacidad y la utilidad, permitiendo a los proveedores y operadores de datos desarrollar sus servicios y an\u00e1lisis de forma adecuada.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Trabajar con datos sint\u00e9ticos.<\/b><span style=\"font-weight: 400;\"> Los \u00abnuevos\u00bb datos sint\u00e9ticos que creamos proporcionar\u00e1n la misma informaci\u00f3n \u00fatil que los datos originales con la ventaja de que no revelan ning\u00fan dato sensible y reducen el riesgo en caso de fallo en la ciberseguridad. <\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Evitar que la informaci\u00f3n sensible pueda ser inferida a partir de los datos compartidos. <\/b> Superamos el desaf\u00edo frecuente de evitar el reconocimiento de personas en funci\u00f3n de comportamientos o datos relacionados, incluso si los datos ya est\u00e1n anonimizados. Por ejemplo: \u00ab<i>Juan va al hospital infantil en moto el 2 de julio\/span&gt;<\/i>\u00ab. Incluso si eliminamos el ID o el nombre de los datos, podr\u00edamos identificarlo f\u00e1cilmente.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_image src=\u00bbhttps:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/10\/servei-synthetic-data-solution-mosaicfactor-1.svg\u00bb alt=\u00bbsynthetic-data-MosaicFactor\u00bb title_text=\u00bbservei-synthetic-data-solution-mosaicfactor\u00bb _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb max_width=\u00bb600px\u00bb module_alignment=\u00bbcenter\u00bb custom_margin_tablet=\u00bb||3em||false|false\u00bb custom_margin_phone=\u00bb||3em||false|false\u00bb custom_margin_last_edited=\u00bbon|tablet\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb][\/et_pb_image][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb header_3_font=\u00bb|||on|||||\u00bb header_3_font_size=\u00bb28px\u00bb header_3_line_height=\u00bb1.2em\u00bb custom_margin=\u00bb||1em||false|false\u00bb custom_margin_tablet=\u00bb||0em||false|false\u00bb custom_margin_phone=\u00bb||0em||false|false\u00bb custom_margin_last_edited=\u00bbon|tablet\u00bb header_3_font_size_tablet=\u00bb28px\u00bb header_3_font_size_phone=\u00bb20px\u00bb header_3_font_size_last_edited=\u00bbon|phone\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n<h3>Gestionando la privacidad mientras extraemos valor de los datos<\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb custom_margin=\u00bb||||false|false\u00bb custom_padding=\u00bb||||false|false\u00bb global_colors_info=\u00bb{}\u00bb theme_builder_area=\u00bbpost_content\u00bb]<\/p>\n<p>Superamos las limitaciones de la anonimizaci\u00f3n tradicional, <strong>evitando tanto la identificaci\u00f3n directa como las inferencias indirectas<\/strong>.<\/p>\n<p>Por ejemplo, nuestros datos sint\u00e9ticos nos permiten mantener la integridad de patrones y tendencias cr\u00edticos, lo cual es <strong>esencial para el an\u00e1lisis predictivo o la identificaci\u00f3n de comportamientos sin comprometer la privacidad individual.<\/strong><\/p>\n<p>Dos casos de uso ilustrativos podr\u00edan ser:<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Planificaci\u00f3n urbana<\/strong>: los datos sint\u00e9ticos permiten modelar los patrones de movilidad sin revelar la ubicaci\u00f3n exacta de las personas, protegiendo as\u00ed su privacidad y optimizando los sistemas de transporte.<\/li>\n<li><strong>Asistencia sanitaria<\/strong>: los datos sint\u00e9ticos pueden permitir una mejor personalizaci\u00f3n de los tratamientos, al tiempo que protegen la informaci\u00f3n del historial sanitario del paciente, as\u00ed como sus datos de comportamiento. Esto generar\u00eda mejores resultados, adherencia al tratamiento, as\u00ed como entrenar futuros modelos para ayudar a los profesionales de la salud en diagn\u00f3sticos avanzados.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>En esencia, nuestra soluci\u00f3n de datos sint\u00e9ticos es una herramienta valiosa para equilibrar la privacidad y la utilidad al procesar datos.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Los datos sint\u00e9ticos son datos artificiales generados a partir de datos originales utilizando un modelo entrenado para reproducir sus caracter\u00edsticas y 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