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Bienvenido a los AIGENEERS.","perspectivas\u002Faigeneers",[1337],{"__typename":1338,"id":1339,"title":1340,"description":13},"insightCategories_Category","2437","Nieuws",[1342],{"__typename":12,"alt":13,"url":1343,"rawUrl":1344,"mimeType":536,"focalPoint":1345,"height":1346,"width":956},"https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FAI-Handshake-scaled.png?fit=cover&format=webp&s=6ims_IA1_VSHi8Cnr1NjP-UZGHWJ6IclP6--UTvmE_s","https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FAI-Handshake-scaled.png",[18,18],1338,"2026-06-26T08:54:00+02:00","Tim Goffings",[1350,1356,1360,1364,1368,1372,1376,1380,1384],{"__typename":1351,"typeHandle":1352,"uid":1353,"title":13,"richText":1354,"backgroundColor":1355},"paragraphBlock_Entry","paragraphBlock","fe691a55-50d5-43c0-9d6d-c00a03884185","\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">La inteligencia artificial está transformando de manera fundamental la forma en que desarrollamos, mantenemos y modernizamos el software. Pero el futuro de la tecnología no consiste en reemplazar a las personas. Consiste en potenciar a las personas.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Faigeneers.eu\u002F\">\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">\u003Cstrong>AIGENEERS\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\"> es una comunidad en crecimiento de profesionales que utilizan la inteligencia artificial como un acelerador de la experiencia humana. Profesionales que entienden que el mayor impacto se logra cuando la experiencia, la creatividad y el pensamiento crítico se combinan con el poder de la IA.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">No creemos en un futuro en el que la IA sustituya a las personas. Creemos en \u003Cstrong>un futuro en el que las personas y la IA trabajen juntas\u003C\u002Fstrong> para crear mejor software, innovar más rápido y afrontar desafíos mayores que nunca.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Ci>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">La inteligencia humana, potenciada por la IA.\u003C\u002Fspan>\u003C\u002Fi>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Un AIGENEER es mucho más que un desarrollador, arquitecto, analista o consultor. Es una nueva generación de profesionales que piensa de forma nativa en IA, desarrolla de forma nativa en IA y colabora con sistemas inteligentes como parte integral de su trabajo diario.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Ni humano o máquina. Humano y máquina.\u003C\u002Fspan>\u003C\u002Fp>","light",{"__typename":1351,"typeHandle":1352,"uid":1357,"title":1358,"richText":1359,"backgroundColor":1355},"115d2f71-c609-43b8-8508-4db1d82867bc","La evolución del desarrollo de software","\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">El desarrollo de software ha llegado a un punto de inflexión.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Mientras que antes la IA se consideraba principalmente una tecnología experimental, hoy se ha convertido en \u003Cstrong>una parte integral de los flujos de trabajo modernos de desarrollo\u003C\u002Fstrong>. El análisis, la programación, las pruebas, la documentación, la gestión del conocimiento y la entrega de software cuentan cada vez más con el apoyo de sistemas inteligentes.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Para los AIGENEERS, la IA no es simplemente una herramienta más. Representa \u003Cstrong>una nueva forma de trabajar\u003C\u002Fstrong>, en la que las tareas repetitivas se automatizan, el conocimiento está disponible con mayor rapidez y los equipos pueden centrarse en lo que realmente marca la diferencia: la creatividad, la resolución de problemas, la arquitectura y la innovación.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">La pregunta ya no es si la IA tendrá un lugar dentro del desarrollo de software. La pregunta es cómo utilizar esta tecnología de una forma responsable, sostenible y centrada en las personas.\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1361,"title":1362,"richText":1363,"backgroundColor":1355},"51558354-7bd6-465e-b754-e448fbafd997","¿Qué significa ser un AIGENEER?","\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Un AIGENEER utiliza la IA no como sustituto de la experiencia, sino como una forma de potenciarla.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>Esto significa:\u003C\u002Fp>\u003Cul style=\"list-style-type:disc;margin-left:32px;\">\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Obtener conocimientos sobre sistemas complejos con mayor rapidez.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Dedicar más tiempo al diseño, la innovación y las decisiones estratégicas.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Automatizar tareas repetitivas sin perder calidad.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Hacer que el conocimiento sea accesible para todo el equipo.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Comprender y adoptar nuevas tecnologías con mayor rapidez.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Aprender y evolucionar continuamente junto con la IA.\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Los AIGENEERS combinan experiencia técnica con curiosidad, pensamiento crítico y una mentalidad abierta. No solo desarrollan software: ayudan a definir la manera en que el software se desarrollará en el futuro.\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1365,"title":1366,"richText":1367,"backgroundColor":1355},"20790cd7-09ae-4e20-a01c-a331720ae58f","Desarrollo de software AI-native","\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">El verdadero impacto de la IA se hace visible cuando se integra en todo el ciclo de vida del desarrollo de software.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Por ello, los AIGENEERS se centran en \u003Cstrong>el desarrollo de software AI-native\u003C\u002Fstrong>: un enfoque en el que la IA ocupa un lugar natural en el análisis, el desarrollo, las pruebas, la documentación y la entrega.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Al combinar inteligentemente la IA con la experiencia humana se consigue:\u003C\u002Fspan>\u003C\u002Fp>\u003Cul style=\"list-style-type:disc;margin-left:32px;\">\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Ciclos de desarrollo más cortos.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>Mayor calidad del software.\u003C\u002Fli>\u003Cli>Mejor intercambio de conocimiento.\u003C\u002Fli>\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Incorporación de nuevos colaboradores más rápida.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Mayor eficiencia de los equipos.\u003C\u002Fspan>\u003C\u002Fli>\u003Cli>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Más espacio para la innovación.\u003C\u002Fspan>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">No porque la IA sustituya el trabajo humano, sino porque las personas pueden lograr más con la misma experiencia.\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1369,"title":1370,"richText":1371,"backgroundColor":1355},"63bc896e-f636-42b8-a376-d30f1edcded1","Legacy modernisation con IA","\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Muchas organizaciones continúan apoyándose en sistemas que han aportado valor durante años, pero que cada vez son más difíciles de mantener o ampliar. La IA ofrece nuevas oportunidades para comprender esa complejidad mucho más rápidamente.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Los AIGENEERS utilizan la IA para analizar con mayor rapidez aplicaciones existentes, bases de código y documentación, descubrir conocimiento valioso y acelerar los procesos de modernización.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Como resultado, los equipos pueden centrarse en tomar las decisiones correctas, mientras la IA les ayuda a comprender con mayor rapidez el contexto técnico.\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1373,"title":1374,"richText":1375,"backgroundColor":1355},"d84c3d16-5dd3-4464-a98c-47a2a28afba3","Una comunidad que aprende unida","\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">El auge de la IA no solo está transformando la tecnología. También está transformando el papel de los profesionales. Por eso, AIGENEERS no gira únicamente en torno a herramientas o tecnología. Sobre todo, gira en torno a las personas.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Estamos construyendo una comunidad donde \u003Cstrong>el intercambio de conocimientos, la experimentación y el crecimiento continuo\u003C\u002Fstrong> ocupan un lugar central. Un espacio donde los profesionales comparten experiencias, prueban nuevas ideas y descubren juntos qué significa el futuro del desarrollo de software.\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1377,"title":1378,"richText":1379,"backgroundColor":1355},"2854e51f-56dc-449e-bad9-a1c1d7ebd8b6","De la experimentación al impacto","\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">La innovación comienza con la experimentación. Pero el verdadero valor surge cuando los experimentos se convierten en resultados sostenibles.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">Por eso, los AIGENEERS invierten continuamente en \u003Cstrong>probar, validar y aplicar\u003C\u002Fstrong> nuevas tecnologías de IA en entornos reales. No para seguir la última tendencia, sino para comprender qué aplicaciones generan realmente valor para los equipos y las organizaciones.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">La experiencia práctica siempre ocupa un lugar central. Porque la tecnología solo se vuelve realmente relevante cuando ayuda a las personas a hacer mejor su trabajo.\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1381,"title":1382,"richText":1383,"backgroundColor":1355},"df9627b0-3d44-4c8a-a223-4e046799d538","Construyendo el futuro, juntos","\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">La IA transformará profundamente la forma en que trabajamos. Pero la tecnología por sí sola no determinará ese futuro. Lo harán las personas.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan lang=\"es-trad\" dir=\"ltr\" xml:lang=\"es-trad\">AIGENEERS reúne a profesionales que quieren construir ese futuro. Personas que creen que la innovación surge cuando la experiencia humana se ve potenciada por sistemas inteligentes. El ingeniero está evolucionando. Bienvenido a la era del AIGENEER.\u003C\u002Fspan>\u003C\u002Fp>",{"__typename":1385,"typeHandle":1386,"uid":1387,"title":1388,"richText":1389,"buttonGroup":1390},"contactFormBlock_Entry","contactFormBlock","44ed810f-9437-4a7b-b774-e8e6e02cd342","Contáctanos","\u003Cp>¿Tienes curiosidad por saber qué puede hacer la IA por ti? ¡Contáctanos para hablar!\u003C\u002Fp>",[],[],{"__typename":1332,"id":1393,"title":1394,"uri":1395,"categories":1396,"image":1406,"postDate":1412,"postAuthor":1413,"blocks":1414,"suffixBlocks":1454,"wpTitle":1455,"postContent":1456},"2384","Soluciones impulsadas por IA para la eficiencia y la innovación en la industria alimentaria","perspectivas\u002Fsoluciones-impulsadas-por-ia-para-la-eficiencia-y-la-innovación-en-la-industria-alimentaria",[1397,1400,1403],{"__typename":1338,"id":1398,"title":1399,"description":13},"2333","Data & AI",{"__typename":1338,"id":1401,"title":1402,"description":13},"2382","Innovatie",{"__typename":1338,"id":1404,"title":1405,"description":13},"5138","Innovation",[1407],{"__typename":12,"alt":13,"url":1408,"rawUrl":1409,"mimeType":497,"focalPoint":1410,"height":1411,"width":956},"https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FHealthy-Unhealthy-Food.jpg?fit=cover&format=webp&s=2bMPSPaS4F9YEUTziRMmv9RxB2waRWLj4GybVeHqH6A","https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FHealthy-Unhealthy-Food.jpg",[18,18],1709,"2026-03-25T13:43:00+01:00","Noa Vanderhaegen",[1415,1429,1433],{"__typename":1416,"typeHandle":1417,"uid":1418,"richText":1419,"buttonGroup":1420,"contentWidth":1428},"genericContentBlock_Entry","genericContentBlock","49c7aa46-8dba-46b4-a12d-a1250bd9bcfe","\u003Cp>\u003Cspan class=\"text-big\">La IA (inteligencia artificial) está teniendo un impacto significativo en la industria alimentaria. Permite a las empresas comprender mejor las necesidades de los clientes, ofrecer contenido personalizado y automatizar procesos como la descripción de productos y el procesamiento de documentos. Además, la IA aporta mayor objetividad al control de calidad, lo que se traduce en una mayor eficiencia.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>A pesar de las numerosas posibilidades que ofrece la IA, también plantea preguntas. ¿Cuáles son las \u003Cstrong>aplicaciones concretas\u003C\u002Fstrong> de la IA para su empresa? ¿Y cómo determinar qué prioridades son importantes al implementar esta tecnología?\u003C\u002Fp>\u003Cp>En esta página, presentamos algunos \u003Cstrong>ejemplos prácticos de aplicaciones de IA\u003C\u002Fstrong> que hemos implementado con éxito en Xplore Group. Estos casos de uso demuestran cómo la IA no solo facilita el trabajo, sino que también impulsa la innovación y la eficiencia. Inspírese con las posibilidades de la IA y descubra cómo su equipo puede aprovechar al máximo el poder de la tecnología para mantenerse a la vanguardia en un mercado competitivo.\u003C\u002Fp>",[1421],{"__typename":504,"id":1422,"uid":1423,"uri":13,"language":9,"settings":1424},"10812","870ff93a-e1c7-43e5-b036-38fda2ac6484",{"__typename":478,"variant":1425,"size":480,"linkTo":1426,"scrollTargetUid":13,"iconifyIcon":13},"filled",{"__typename":42,"id":13,"title":13,"url":482,"target":13,"label":1427,"defaultLabel":484},"Reserva una sesión de inspiración gratuita","fullWidth",{"__typename":1351,"typeHandle":1352,"uid":1430,"title":1431,"richText":1432,"backgroundColor":1355},"3959724a-e24c-4f4e-9392-7b83db42f360","Casos de uso concretos","\u003Ch3>Objetivando el control de calidad de los alimentos mediante IA\u003C\u002Fh3>\u003Cp>El control de calidad tradicional es subjetivo y depende de la experiencia del evaluador, lo que puede generar variaciones. Existen algunos desafíos, como la comunicación entre las partes interesadas y la remuneración de los agricultores, que depende del control de calidad. Las discusiones sobre calidad son delicadas porque la remuneración de los agricultores suele estar vinculada a ella. \u003Cstrong>Las fotos e imágenes pueden revelar defectos y generar transparencia sobre la calidad y el precio.\u003C\u002Fstrong> Además, la capacitación de los gerentes de calidad suele ser costosa y requiere mucho tiempo. Con el control de calidad basado en IA, los inspectores de calidad jóvenes y nuevos pueden capacitarse y recibir apoyo con mayor rapidez. También se puede ampliar la capacidad durante los períodos de mayor actividad y los picos estacionales.\u003C\u002Fp>\u003Cp>Hemos investigado que la IA\u002FVisión Artificial puede identificar, analizar e interpretar defectos con precisión. Este proceso objetivo utiliza \u003Cstrong>criterios y algoritmos fijos para cada inspección visual\u003C\u002Fstrong>. El objetivo es ayudar a los inspectores de calidad a lograr evaluaciones más consistentes y precisas, manteniendo la responsabilidad final y evitando retrasos en su trabajo.\u003C\u002Fp>\u003Cp>Los beneficios de este enfoque son evidentes: \u003Cstrong>una capacitación más eficiente de los nuevos expertos en calidad, una mejor comunicación entre las partes interesadas y la armonización de las opiniones de los expertos en calidad. \u003C\u002Fstrong>La IA mejora la precisión, aumenta la eficiencia y reduce la dependencia de la interpretación humana. Además, la IA puede identificar desviaciones difíciles de detectar, lo que se traduce en un mayor nivel de calidad y ayuda a nuestros clientes a cumplir con los estándares de calidad más estrictos.\u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusión\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Aumente la eficiencia operativa y reduzca los errores.\u003C\u002Fli>\u003Cli>Evaluaciones más consistentes y precisas.\u003C\u002Fli>\u003Cli>Mejore la comunicación entre las partes interesadas y proporcione transparencia en cuanto a calidad y precio.\u003C\u002Fli>\u003Cli>Mejore la calidad de sus productos finales.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3 style=\"margin-left:0px;\"> \u003C\u002Fh3>\u003Ch3>Automatización de pedidos B2B\u003C\u002Fh3>\u003Cp>En el sector B2B, la automatización de pedidos puede ser crucial para aumentar la eficiencia operativa. Los clientes B2B realizan pedidos a través de diversos canales, como portales web o representantes de ventas. Cabe destacar que los pedidos aún suelen llegar por correo electrónico o documentos PDF. Anteriormente, un miembro del equipo tenía que leer manualmente estos PDF e ingresar la información en el sistema ERP.\u003C\u002Fp>\u003Cp>Mediante el uso de IA, \u003Cstrong>se pueden leer e interpretar automáticamente estos PDF, extrayendo toda la información relevante necesaria\u003C\u002Fstrong> para procesar los pedidos. Estos datos \u003Cstrong>se cargan automáticamente en el sistema ERP\u003C\u002Fstrong>. Especialmente en la fase inicial, es necesario revisar manualmente los resultados, sobre todo si existen ambigüedades, pero también para identificar cualquier inexactitud. Estas se marcan para una revisión posterior.\u003C\u002Fp>\u003Cp>También puede optar por \u003Cstrong>realizar pedidos directamente en su portal de comercio electrónico\u003C\u002Fstrong>, en lugar de trabajar tradicionalmente a través de un sistema ERP. Con base en la información del cliente en el pedido, se puede crear inmediatamente una cuenta de cliente en el portal de comercio electrónico. Esto le permite realizar su próximo pedido directamente allí. Esta \u003Cstrong>experiencia de usuario optimizada\u003C\u002Fstrong> ofrece la oportunidad de cambiar el comportamiento de sus clientes.\u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusión\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Aumente la eficiencia operativa y reduzca los errores.\u003C\u002Fli>\u003Cli>Simplifique y agilice el proceso de pedido para sus clientes.\u003C\u002Fli>\u003Cli>Asegure la integración fluida de los pedidos en sus sistemas.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3 style=\"margin-left:0px;\"> \u003C\u002Fh3>\u003Ch3>IA predictiva\u003C\u002Fh3>\u003Cp>Hasta ahora, hemos hablado principalmente de IA generativa. Pero también se puede utilizar \u003Cstrong>el poder predictivo de la IA\u003C\u002Fstrong> en ventas y marketing. \u003Ci>Machine learning\u003C\u002Fi> (ML) y la inteligencia artificial (IA) nos permiten \u003Cstrong>combinar todos los datos de ventas de años anteriores con las tendencias actuales del mercado\u003C\u002Fstrong>, como los datos de API. Al utilizar diferentes fuentes de datos, se pueden \u003Cstrong>realizar predicciones sobre el comportamiento de compra de los clientes\u003C\u002Fstrong> mediante IA predictiva.\u003C\u002Fp>\u003Cp>Un buen ejemplo es \u003Cstrong>la integración de una API meteorológica, donde se incorporan datos meteorológicos históricos al análisis.\u003C\u002Fstrong> Esto va más allá de las comparaciones semanales: también incluye el impacto de factores externos como días festivos, días específicos de la semana, etc. Esto permite predecir con mayor precisión la influencia del clima en el comportamiento de compra del consumidor y anticipar con mayor facilidad los cambios en la demanda de productos específicos. Incluso se puede predecir el momento adecuado para programar una campaña de marketing específica. ¿Qué sucede si ofrecemos un 10% de descuento en parte de nuestra gama de productos este fin de semana? Al analizar los datos históricos, se puede realizar una predicción muy precisa gracias a la IA.\u003C\u002Fp>\u003Cp>Con base en estos datos, las empresas también pueden \u003Cstrong>anticipar mejor los niveles de inventario\u003C\u002Fstrong>. Esto le permite actuar de forma proactiva, lo que permite a las empresas satisfacer mejor la demanda de los clientes y evitar el exceso de inventario.\u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusión\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Mejore sus estrategias de marketing con pronósticos precisos.\u003C\u002Fli>\u003Cli>Optimice la gestión de su inventario y reduzca costes.\u003C\u002Fli>\u003Cli>Anticípese a las necesidades de los clientes y mejore su satisfacción.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3 style=\"margin-left:0px;\"> \u003C\u002Fh3>\u003Ch3>Hiperpersonalización del email marketing\u003C\u002Fh3>\u003Cp>La personalización del email marketing no es nada nuevo: añadir el nombre del cliente al asunto del correo o personalizar los productos en función de las compras es algo que llevamos años haciendo. Con la IA, vamos un paso más allá: ¡la hiperpersonalización! Implica \u003Cstrong>generar texto o imágenes personalizados basados en indicaciones de IA que aprovechan los datos del cliente\u003C\u002Fstrong>. Esto hace que cada boletín informativo sea único y relevante para el destinatario.\u003C\u002Fp>\u003Cp>En un contexto B2B, puedes mapear \u003Cstrong>el historial de tu cliente o cliente potencial\u003C\u002Fstrong> y usar IA generativa para crear un mensaje personalizado. También puedes usar el poder predictivo de la IA para calcular el momento óptimo para contactar con tu cliente o cliente potencial y qué mensaje o acción ofrecer. La hiperpersonalización hace que cada interacción con el cliente sea más valiosa.\u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusión\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Aumenta la interacción con el cliente con emails personalizados.\u003C\u002Fli>\u003Cli>Maximiza la eficacia de tus campañas de marketing.\u003C\u002Fli>\u003Cli>Forja relaciones más sólidas con los clientes mediante comunicaciones relevantes y oportunas.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3 style=\"margin-left:0px;\"> \u003C\u002Fh3>\u003Ch3>Creación de contenido e IA\u003C\u002Fh3>\u003Cp>La creación de contenido suele ser el primer aspecto en el que se piensa al usar IA. La IA permite escalar fácilmente las estrategias de contenido, permitiéndole \u003Cstrong>generar contenido rápidamente y a gran escala\u003C\u002Fstrong>. ¡Pero vayamos un paso más allá! Las \u003Cstrong>integraciones con un sistema de \u003C\u002Fstrong>\u003Ci>\u003Cstrong>Product Information Management\u003C\u002Fstrong>\u003C\u002Fi>\u003Cstrong> (PIM) \u003C\u002Fstrong>son un valioso siguiente paso.\u003C\u002Fp>\u003Cp>Esto va más allá de la simple generación de descripciones de productos: se extiende a una \u003Cstrong>estrategia SEO completa\u003C\u002Fstrong>. Podemos generar meta títulos y meta descripciones optimizados para SEO, y enriquecemos la información del producto directamente desde su PIM con \u003Cstrong>los valores de su marca\u003C\u002Fstrong>. Esto garantiza un texto único, especialmente importante para fabricantes que, por ejemplo, necesitan cumplir con GS1 y cuyos productos también se venden en varios minoristas.\u003C\u002Fp>\u003Cp>¿Cómo diferenciarse de otras empresas en línea que ofrecen exactamente los mismos productos? ¡Creando sugerencias con IA para garantizar contenido único y optimizado para SEO!\u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusión\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Ahorre tiempo y recursos mediante la creación de contenido eficiente.\u003C\u002Fli>\u003Cli>Aumente su visibilidad en línea con textos optimizados para SEO.\u003C\u002Fli>\u003Cli>Asegure una comunicación de marca consistente y el cumplimiento normativo.\u003C\u002Fli>\u003C\u002Ful>",{"__typename":1434,"typeHandle":1435,"uid":1436,"title":1427,"introText":1437,"contactPerson":1438},"bookSessionBlock_Entry","bookSessionBlock","072cd970-16f6-4556-8373-0e66efe22d22","\u003Cp>¿Quieres descubrir cómo la Inteligencia Artificial puede transformar tu negocio? Durante una sesión de inspiración gratuita, compartiremos ejemplos reales de implementaciones exitosas de IA en Xplore Group. De esta manera, mostraremos cómo la IA no solo puede optimizar procesos, sino también impulsar la innovación y ofrecer nuevas oportunidades de crecimiento.\u003C\u002Fp>",[1439],{"__typename":1440,"id":1441,"uri":1442,"fullName":1413,"firstName":1443,"lastName":1444,"email":1445,"avatar":1446,"phoneNumber":29,"linkedin":1452,"sector":1453,"function":13},"employee_Entry","5707","employees\u002Fnoa-vanderhaegen","Noa","Vanderhaegen","noa.vanderhaegen@xploregroup.be",[1447],{"__typename":12,"alt":13,"url":1448,"rawUrl":1449,"mimeType":536,"focalPoint":1450,"height":1451,"width":877},"https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002Fd7e04bc537bcb958a117eb90b0dadfb9bf9216aa.png?fit=cover&format=webp&s=Z028eEncEVB6WsWwOvAiGie9DRmMmRC2uvBXXDrOBCs","https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002Fd7e04bc537bcb958a117eb90b0dadfb9bf9216aa.png",[18,18],188,"https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fxploregroup\u002F","Voedingssector",[],"AI-gedreven oplossingen voor efficiëntie en innovatie in de voedingsindustrie",{"__typename":1457,"html":1458},"postContent_CkeditorField","\u003Cdiv class=\"elementor-section\">\u003Cdiv class=\"elementor-column\" data-column-size=\"100\">\u003Cp> \u003C\u002Fp>\n\u003Ch4>\u003Cstrong>AI (artificiële intelligentie) heeft een aanzienlijke impact op \u003Ca href=\"https:\u002F\u002Fwww.xploregroup.be\u002Fnl\u002Fdigitalisering-in-de-voedingsindustrie\u002F\">\u003Cspan style=\"text-decoration: underline;\">de voedingsindustrie\u003C\u002Fspan>\u003C\u002Fa>. Het stelt bedrijven in staat om klantbehoeften beter te begrijpen, gepersonaliseerde content te leveren en processen zoals productomschrijvingen en documentverwerking te automatiseren. Bovendien zorgt AI voor meer objectiviteit in kwaliteitscontroles, wat leidt tot verhoogde efficiëntie.\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>Ondanks de vele mogelijkheden die AI biedt, roept het ook vragen op. Wat zijn de \u003Cstrong>concrete toepassingen\u003C\u002Fstrong> van AI voor jouw bedrijf? En hoe bepaal je welke prioriteiten belangrijk zijn bij de implementatie van deze technologie?\u003C\u002Fp>\u003Cp>Op deze pagina tonen we enkele \u003Cstrong>praktische voorbeelden van AI-toepassingen\u003C\u002Fstrong> die we bij Xplore Group succesvol hebben geïmplementeerd. Deze use cases laten zien hoe AI niet alleen het werk gemakkelijker maakt, maar ook innovatie en efficiëntie bevordert. Laat je inspireren door de mogelijkheden van AI en ontdek hoe jouw team de kracht van technologie optimaal kan benutten om voorop te blijven lopen in een competitieve markt.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cdiv class=\"elementor-container\">\u003Ca href=\"\u002Fnl\u002Fcontact\u002F\" class=\"elementor-button\">Boek een gratis inspiratiesessie\u003C\u002Fa>\n\u003Ca href=\"#whitepaper\" class=\"elementor-button\">Download Whitepaper\u003C\u002Fa>\n\u003C\u002Fdiv>\u003Cp> \u003C\u002Fp>\n\u003Ch2>\u003Cstrong>Concrete use cases\u003C\u002Fstrong>\u003C\u002Fh2>\n\u003Ch2>Kwaliteitscontrole van voeding objectiveren m.b.v. AI\u003C\u002Fh2>\n\u003Cp>Traditionele kwaliteitscontrole is subjectief en afhankelijk van de ervaring van de beoordelaar, wat tot variaties kan leiden. Er zijn enkele uitdagingen, zoals de communicatie tussen stakeholders en de verloning van boeren, die afhankelijk is van de kwaliteitscontrole. Discussies over kwaliteit zijn gevoelig omdat de verloning van de boeren hier vaak aan gekoppeld is. \u003Cstrong>Foto’s en beelden kunnen defecten aantonen en transparantie creëren over kwaliteit en prijs.\u003C\u002Fstrong> Daarnaast zijn opleidingen van kwaliteitsmanagers vaak duur en lang. Met AI-gebaseerde kwaliteitscontrole kunnen jonge en nieuwe kwaliteitscontroleurs sneller opgeleid en ondersteund worden. Ook kan de capaciteit in drukke periodes en seizoenspieken opgeschaald worden.\u003C\u002Fp>\u003Cp>We hebben onderzocht dat AI\u002FComputer Vision defecten goed kan herkennen, analyseren en interpreteren. Dit objectieve proces gebruikt \u003Cstrong>vaste criteria en algoritmen voor elke visuele inspectie.\u003C\u002Fstrong> Het doel is om kwaliteitscontroleurs te ondersteunen voor consistentere en nauwkeurigere beoordelingen, terwijl zij de eindverantwoordelijkheid behouden en hun werkwijze niet wordt vertraagd.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>De voordelen van deze aanpak zijn duidelijk: \u003Cstrong>efficiëntere training van nieuwe kwaliteitsexperts, verbeterde communicatie tussen stakeholders, harmonisatie van meningen van kwaliteitsexperts.\u003C\u002Fstrong> AI verbetert de nauwkeurigheid, verhoogt de efficiëntie en vermindert de afhankelijkheid van menselijke interpretatie. Bovendien kan AI moeilijk detecteerbare afwijkingen opsporen, wat leidt tot een hoger kwaliteitsniveau en helpt onze klant aan de strengste kwaliteitsnormen te voldoen.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusie\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Verhoog de operationele efficiëntie en verminder fouten.\u003C\u002Fli>\u003Cli>Consistentere en nauwkeurigere beoordelingen.\u003C\u002Fli>\u003Cli>Verbeter de communicatie tussen stakeholders en biedt transparantie over kwaliteit en prijs.\u003C\u002Fli>\u003Cli>Verhoog de kwaliteit van jouw eindproducten.\u003C\u002Fli>\u003C\u002Ful>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>B2B automatiseren van orders \u003C\u002Fh2>\n\u003Cp>Bij B2B kan het automatiseren van orders een essentieel aspect zijn om de operationele efficiëntie te verhogen. B2B-klanten plaatsen bestellingen via verschillende kanalen, zoals een webportaal of via vertegenwoordigers. Daarbij is het opmerkelijk dat orders toch nog vaak binnenkomen via mail of PDF-documenten. Vroeger moest een teamlid die PDF’s handmatig lezen en de informatie typen in het ERP-systeem.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Door AI in te zetten kan je die \u003Cstrong>PDF’s automatisch laten uitlezen, interpreteren en er alle relevante informatie uithalen die nodig is\u003C\u002Fstrong> om de orders te verwerken. Die gegevens worden vervolgens \u003Cstrong>automatisch geladen in het ERP-systeem\u003C\u002Fstrong>. Voornamelijk in de beginfase is het nog nodig om manueel de resultaten te controleren, vooral bij onduidelijkheid, maar ook om eventuele onnauwkeurigheden te identificeren. Vervolgens worden die geflagged voor verdere controle.\u003C\u002Fp>\u003Cp>Je kan er ook voor kiezen om \u003Cstrong>de orders direct in jouw e-commerce portaal\u003C\u002Fstrong> te plaatsen, in plaats van traditioneel via een ERP te werken. Dan kan er, op basis van de klantinformatie in de bestelling, meteen een klant account aangemaakt worden in het e-commerce portal. Zo kunnen ze hun volgende order rechtstreeks in het e-commerce portal invullen. Dit \u003Cstrong>geoptimaliseerde gebruiksgemak\u003C\u002Fstrong> biedt de mogelijkheid om een gedragsverandering bij jouw klanten teweeg te brengen.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusie \u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Verhoog de operationele efficiëntie en verminder fouten.\u003C\u002Fli>\u003Cli>Maak het bestelproces eenvoudiger en sneller voor jouw klanten.\u003C\u002Fli>\u003Cli>Zorg voor een naadloze integratie van bestellingen in jouw systemen.\u003C\u002Fli>\u003C\u002Ful>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Predictive AI\u003C\u002Fh2>\n\u003Cp>Tot nu toe hebben we het voornamelijk gehad over generative AI. Maar je kan ook \u003Cstrong>de voorspellende kracht van AI\u003C\u002Fstrong> gebruiken in sales en marketing. Machine learning (ML) en artificial intelligence (AI) geven ons de mogelijkheid om \u003Cstrong>alle verkoopdata van de voorbije jaren te combineren met actuele trends in de markt\u003C\u002Fstrong>, zoals API gegevens. Door gebruik te maken van verschillende databronnen, kan je \u003Cstrong>voorspellingen maken over het koopgedrag van klanten\u003C\u002Fstrong> via \u003Cspan style=\"text-decoration: underline;\">\u003Ca href=\"https:\u002F\u002Fwww.xploregroup.be\u002Fnl\u002Fservices\u002Fartificial-intelligence\u002F\">predictive AI\u003C\u002Fa>\u003C\u002Fspan>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Een goed voorbeeld daarvan is \u003Cstrong>het integreren van een weer-API, waarbij historische weergegevens worden meegenomen in de analyse.\u003C\u002Fstrong> Dit gaat verder dan alleen het vergelijken van week tot week: het omvat ook de impact van externe factoren zoals feestdagen, exacte dagen in de week ... Daardoor kan je nauwkeuriger de invloed van het weer voorspellen op het koopgedrag van consumenten en kan je makkelijker anticiperen op veranderingen in de vraag naar specifieke producten. Je kan zelfs voorspellen wanneer het juiste moment is om een specifieke marketingactie in te plannen. Wat gebeurt er als we dit weekend 10% korting geven op een deel van ons assortiment? Door de historische data te analyseren, kan je dankzij AI een zeer accurate voorspelling maken.\u003C\u002Fp>\u003Cp>Op basis van die gegevens kunnen bedrijven ook de \u003Cstrong>voorraadniveaus beter anticiperen\u003C\u002Fstrong>. Dit stelt je in staat om proactief te handelen. Waardoor bedrijven beter voldoen aan de vraag van klanten en overtollige voorraad vermijden.\u003C\u002Fp>\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusie \u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Verbeter je marketingstrategieën met nauwkeurige voorspellingen.\u003C\u002Fli>\u003Cli>Optimaliseer je voorraadbeheer en verminder kosten.\u003C\u002Fli>\u003Cli>Anticipeer op klantbehoeften en verbeter de klanttevredenheid.\u003C\u002Fli>\u003C\u002Ful>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Hyperpersonalisatie van e-mailmarketing\u003C\u002Fh2>\n\u003Cp>Personalisatie van e-mailmarketing is niets nieuw: het toevoegen van de naam van jouw klant in het onderwerp van je mail of de producten afstemmen op basis van aankoop, dat gebeurt al jaren. Met AI gaan we verder: hyperpersonalisatie! Het omvat \u003Cstrong>het genereren van gepersonaliseerde stukken tekst of afbeeldingen op basis van AI-prompts die gebruik maken van de gegevens van de klant.\u003C\u002Fstrong> Zo maak je elke nieuwsbrief uniek en relevant voor de ontvanger.\u003C\u002Fp>\u003Cp>In een B2B context kan je \u003Cstrong>de historiek van jouw klant of prospect\u003C\u002Fstrong> in kaart brengen en generative AI gebruiken voor de creatie van een boodschap op maat. Je kan ook de voorspellende kracht van AI gebruiken voor de berekening van het optimale moment wanneer je met jouw klant of prospect contact moet opnemen en welke boodschap of actie je dan moet aanbieden. Hyperpersonalisatie maakt elke interactie met klanten waardevoller.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusie \u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Verhoog de betrokkenheid van klanten met gepersonaliseerde e-mails.\u003C\u002Fli>\u003Cli>Maximaliseer de effectiviteit van je \u003Cspan style=\"text-decoration: underline;\">\u003Ca href=\"https:\u002F\u002Fwww.xploregroup.be\u002Fnl\u002Fservices\u002Fdigital-marketing\u002F\">marketingcampagnes\u003C\u002Fa>\u003C\u002Fspan>.\u003C\u002Fli>\u003Cli>Bouw sterkere klantrelaties op door relevante en tijdige communicatie.\u003C\u002Fli>\u003C\u002Ful>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Content creatie en AI\u003C\u002Fh2>\n\u003Cp>Content creatie is vaak het eerste aspect waar mensen aan denken bij het gebruik van AI. AI stelt je namelijk in staat om je content efforts eenvoudig op te schalen, waardoor je \u003Cstrong>snel en op grote schaal content kan genereren\u003C\u002Fstrong>. Maar laten we een stap verder gaan! \u003Cstrong>Integraties met een Product Information Management (PIM)-systeem\u003C\u002Fstrong> zijn een waardevolle volgende stap.\u003C\u002Fp>\u003Cp>Dit gaat verder dan alleen het genereren van productomschrijvingen: het strekt zich uit tot \u003Cstrong>een volledige SEO-strategie.\u003C\u002Fstrong> We kunnen meta-titels en meta-beschrijvingen genereren die SEO-vriendelijk zijn, en we verrijken productinformatie rechtstreeks vanuit jouw PIM met de \u003Cstrong>brand values\u003C\u002Fstrong> van jouw merk. Dit garandeert unieke teksten, vooral belangrijk voor fabrikanten die bijvoorbeeld GS1-compliant moeten zijn en waarvan de producten ook bij verschillende retailers worden verkocht.\u003C\u002Fp>\u003Cp>Hoe onderscheid je jezelf van andere online spelers die exact dezelfde producten aanbieden? Door AI-prompts zo op te stellen dat je unieke én SEO-geoptimaliseerde content krijgt!\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Conclusie\u003C\u002Fstrong>\u003C\u002Fp>\u003Cul>\u003Cli>Bespaar tijd en middelen door efficiënte \u003Cspan style=\"text-decoration: underline;\">\u003Ca href=\"https:\u002F\u002Fwww.xploregroup.be\u002Fnl\u002Fservices\u002Fcontent-creation\u002F\">content creatie\u003C\u002Fa>\u003C\u002Fspan>.\u003C\u002Fli>\u003Cli>Verhoog je online zichtbaarheid met SEO-geoptimaliseerde teksten.\u003C\u002Fli>\u003Cli>Zorg voor consistente merkcommunicatie en compliance.\u003C\u002Fli>\u003C\u002Ful>\n\u003Cp> \u003C\u002Fp>\n\u003Cdiv class=\"elementor-container\">\u003Cp>Wil je ontdekken hoe Artificiële Intelligentie jouw bedrijf kan transformeren? Tijdens \u003Cstrong>een gratis inspiratiesessie\u003C\u002Fstrong> delen we praktijkvoorbeelden van succesvolle AI-implementaties bij Xplore Group. Hiermee laten we zien hoe AI niet alleen processen kan stroomlijnen, maar ook innovatie kan stimuleren en nieuwe kansen biedt voor groei.\u003C\u002Fp>\n\u003C\u002Fdiv>\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"elementor-container\">\u003Cp> \u003C\u002Fp>\n\u003C\u002Fdiv>\u003Cdiv class=\"elementor-section\">\u003Cdiv class=\"elementor-column\" data-column-size=\"25\">\u003C\u002Fdiv>\u003Cdiv class=\"elementor-column\" data-column-size=\"50\">\u003Cp> \u003C\u002Fp>\n\u003Ch2>\u003Cb>Boek een gratis \u003C\u002Fb>\u003Cbr>\u003Cb>inspiratiesessie\u003C\u002Fb>\u003C\u002Fh2>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003C\u002Fdiv>\u003Cdiv class=\"elementor-column\" data-column-size=\"25\">\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cb>Contactpersoon Voedingssector:\u003Cbr \u002F>\u003C\u002Fb>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Noa Vanderhaegen\u003C\u002Fp>\u003Cp>noa.vanderhaegen@xploregroup.be\u003C\u002Fp>\u003Cp>+32 479 93 21 88\u003C\u002Fp>\n\u003C\u002Fdiv>\u003C\u002Fdiv>\u003Cdiv class=\"elementor-container\">\u003Cp> \u003C\u002Fp>\n\u003C\u002Fdiv>\u003Cdiv class=\"elementor-section\">\u003Cdiv class=\"elementor-column\" data-column-size=\"50\">\u003Ch2>\u003Cb>Download onze \u003C\u002Fb>\u003Cbr>\u003Cb>whitepaper\u003C\u002Fb>\u003C\u002Fh2>\n\u003Cdiv class=\"raw-html-embed\">\u003Cscript charset=\"utf-8\" type=\"text\u002Fjavascript\" src=\"\u002F\u002Fjs.hsforms.net\u002Fforms\u002Fembed\u002Fv2.js\">\u003C\u002Fscript>\n\u003Cscript>\n  hbspt.forms.create({\n    portalId: \"5264039\",\n    formId: \"a4f40aa3-5638-4fd0-9a07-d13dd9e1810d\"\n  });\n\u003C\u002Fscript>\u003C\u002Fdiv>\n\u003C\u002Fdiv>\u003Cdiv class=\"elementor-column\" data-column-size=\"50\">\u003C\u002Fdiv>\u003C\u002Fdiv>",{"__typename":1332,"id":1460,"title":1461,"uri":1462,"categories":1463,"image":1464,"postDate":1470,"postAuthor":13,"blocks":1471,"suffixBlocks":1500,"wpTitle":1501,"postContent":1502},"2335","IA generativa vs. IA agéntica: ¿cuál es la diferencia?","perspectivas\u002Fia-generativa-vs.-ia-agéntica-cuál-es-la-diferencia",[1397],[1465],{"__typename":12,"alt":13,"url":1466,"rawUrl":1467,"mimeType":497,"focalPoint":1468,"height":1469,"width":955},"https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FAI-Image-from-Xplore-Group.jpg?fit=cover&format=webp&s=fCcNjciuzLuSqN0EweG2vk9_903I1SmjQMfQ5s0XcBo","https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FAI-Image-from-Xplore-Group.jpg",[18,18],667,"2025-09-08T11:19:00+02:00",[1472,1475,1479,1483,1487,1491],{"__typename":1351,"typeHandle":1352,"uid":1473,"title":13,"richText":1474,"backgroundColor":1355},"9c50a813-8296-4e43-95b7-fe7488eb2d80","\u003Cp>La revolución de la IA está en pleno apogeo. Cualquiera que haya trabajado con ChatGPT conoce el poder de \u003Cstrong>la IA generativa\u003C\u002Fstrong>: la capacidad de las máquinas para generar texto, imágenes, código u otro contenido a partir de una simple instrucción.\u003C\u002Fp>\u003Cp>Pero la tecnología no se detiene. Los nuevos sistemas de IA hacen más que simplemente generar contenido. Toman la iniciativa, planifican sus propias acciones y realizan tareas complejas sin una guía constante. Esto es lo que llamamos \u003Cstrong>IA agéntica\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>Pero ¿qué diferencia realmente a la IA agéntica de las herramientas generativas con las que ya estamos tan familiarizados? En esta entrada del blog, explicamos la diferencia y su importancia.\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1476,"title":1477,"richText":1478,"backgroundColor":1355},"fc0f5e5b-8eb7-4d1a-bf27-9e4c704b6206","Volviendo a lo básico: ¿Qué hace la IA generativa?","\u003Cp>\u003Cstrong>La IA generativa\u003C\u002Fstrong> está diseñada para crear algo nuevo a partir de datos existentes. Piensa en:\u003C\u002Fp>\u003Cul>\u003Cli>ChatGPT escribiendo una entrada de blog,\u003C\u002Fli>\u003Cli>Midjourney generando una imagen,\u003C\u002Fli>\u003Cli>GitHub Copilot complementando tu código.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Su funcionamiento es relativamente sencillo:\u003Cbr \u002F>Das una indicación → la IA genera un resultado → decides qué sucede a continuación.\u003C\u002Fp>\u003Cp>El sistema es \u003Cstrong>reactivo \u003C\u002Fstrong>y funciona paso a paso. Le preguntas algo, responde. ¿Quieres algo diferente? Entonces le das una nueva indicación.\u003C\u002Fp>\u003Cp>Por lo tanto, la IA generativa es increíblemente potente para:\u003C\u002Fp>\u003Cul>\u003Cli>Creación de contenido (texto, elementos visuales, audio, vídeo),\u003C\u002Fli>\u003Cli>Generación de ideas o inspiración,\u003C\u002Fli>\u003Cli>Asistencia con tareas repetitivas.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Pero lo más importante: \u003Cstrong>el usuario mantiene el control.\u003C\u002Fstrong>\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1480,"title":1481,"richText":1482,"backgroundColor":1355},"ddc6ff22-1082-4710-891e-43e1b70a02bf","¿En qué se diferencia exactamente la IA agéntica?","\u003Cp>\u003Cstrong>La IA agéntica \u003C\u002Fstrong>está diseñada para operar de forma autónoma. En lugar de simplemente responder a indicaciones, se le asigna un \u003Cstrong>objetivo \u003C\u002Fstrong>y luego determina \u003Cstrong>cómo \u003C\u002Fstrong>alcanzarlo.\u003C\u002Fp>\u003Cp>Así, no tiene que gestionar cada paso usted mismo. La IA diseña, planifica, ejecuta y ajusta según sea necesario.\u003C\u002Fp>\u003Cp>Ejemplo concreto:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>IA generativa:\u003C\u002Fstrong> Le pide a ChatGPT que elabore un plan de marketing.\u003C\u002Fli>\u003Cli>\u003Cstrong>IA agéntica: \u003C\u002Fstrong>Le asigna la tarea: \"Iniciar una campaña para nuestro nuevo producto\". La IA:\u003C\u002Fli>\u003C\u002Ful>\u003Col>\u003Cli>Solicita información relevante (por ejemplo, mediante integraciones),\u003C\u002Fli>\u003Cli>Analiza el público objetivo y la competencia,\u003C\u002Fli>\u003Cli>Crea un plan paso a paso,\u003C\u002Fli>\u003Cli>Redacta textos, programa publicaciones, envía correos electrónicos,\u003C\u002Fli>\u003Cli>Monitorea los resultados y optimiza según sea necesario.\u003C\u002Fli>\u003C\u002Fol>\u003Cp>La IA agéntica combina múltiples pasos y tecnologías para lograr un resultado de forma independiente, con una mínima intervención del usuario.\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1484,"title":1485,"richText":1486,"backgroundColor":1355},"c1e9f9ce-8081-4253-9472-9ec37dc1934d","Comparación: IA generativa vs. IA agéntica","\u003Cfigure class=\"table\">\u003Ctable>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Cstrong>Características\u003C\u002Fstrong>\u003C\u002Ftd>\u003Ctd>\u003Cstrong>IA generativa\u003C\u002Fstrong>\u003C\u002Ftd>\u003Ctd>\u003Cstrong>IA agéntica\u003C\u002Fstrong>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Functionamento\u003C\u002Ftd>\u003Ctd>Prompt → output\u003C\u002Ftd>\u003Ctd>Objetivo → plan → acciones → resultado\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Autonomía\u003C\u002Ftd>\u003Ctd>Baja\u003C\u002Ftd>\u003Ctd>Alta\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Número de pasos\u003C\u002Ftd>\u003Ctd>Uno a la vez\u003C\u002Ftd>\u003Ctd>Múltiples en serie, incluyendo ciclos de retroalimentación\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Función de usuario\u003C\u002Ftd>\u003Ctd>Dirige cada paso\u003C\u002Ftd>\u003Ctd>Determina el objetivo, el resto se realiza de forma autónoma\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Fortalezas\u003C\u002Ftd>\u003Ctd>Contenido creativo, asistencia directa\u003C\u002Ftd>\u003Ctd>Gestión autónoma de tareas, flujos de trabajo complejos\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003C\u002Ffigure>",{"__typename":1351,"typeHandle":1352,"uid":1488,"title":1489,"richText":1490,"backgroundColor":1355},"1470dea9-f13a-4df7-a855-803660756422","Por qué es importante la diferencia entre estas formas de IA","\u003Cp>La diferencia entre la IA generativa y la IA agéntica no es un detalle insignificante; cambia fundamentalmente \u003Cstrong>lo que la IA puede hacer por usted\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>Con la IA generativa, trabaja más rápido, con mayor creatividad y productividad. Pero conserva el control.\u003Cbr \u002F>Con la IA agéntica, cede parcialmente el control. Confía en que la IA logrará el resultado correcto por sí sola, tal como le confiaría una tarea a un compañero o asistente digital.\u003C\u002Fp>\u003Cp>Para las organizaciones, esto significa:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Ahorro de tiempo\u003C\u002Fstrong>: Menos microgestión, menos intervención manual.\u003C\u002Fli>\u003Cli>\u003Cstrong>Eficiencia\u003C\u002Fstrong>: Las tareas que normalmente requieren varias personas o herramientas se centralizan.\u003C\u002Fli>\u003Cli>\u003Cstrong>Escalabilidad\u003C\u002Fstrong>: Un solo agente puede gestionar varios procesos simultáneamente.\u003C\u002Fli>\u003Cli>\u003Cstrong>A prueba de futuro\u003C\u002Fstrong>: La IA agéntica sienta las bases para las operaciones empresariales impulsadas por la IA.\u003C\u002Fli>\u003C\u002Ful>",{"__typename":1416,"typeHandle":1417,"uid":1492,"richText":1493,"buttonGroup":1494,"contentWidth":1428},"f269fa3b-babd-4140-99dd-74ca7e821d7b","\u003Ch2>\u003Cstrong>¿Quiere saber cómo su organización puede capitalizar esta evolución?\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>Si bien la IA generativa nos ha ayudado a crear con mayor rapidez, la IA agéntica promete facilitarnos el trabajo. La diferencia no solo reside en \u003Cstrong>lo que la tecnología puede hacer\u003C\u002Fstrong>, sino en cómo nosotros, como humanos, \u003Cstrong>colaboramos con ella\u003C\u002Fstrong>. ¡Contacte a nuestros expertos para una sesión gratuita de inspiración sobre IA!\u003C\u002Fp>",[1495],{"__typename":504,"id":1496,"uid":1497,"uri":13,"language":9,"settings":1498},"10758","568bd632-3705-4523-87ee-6a4d2230b39e",{"__typename":478,"variant":1425,"size":480,"linkTo":1499,"scrollTargetUid":13,"iconifyIcon":13},{"__typename":42,"id":13,"title":13,"url":482,"target":13,"label":483,"defaultLabel":484},[],"Generatieve AI vs. Agentic AI: wat is nu echt het verschil?",{"__typename":1457,"html":1503},"\u003Cp> \u003C\u002Fp>\u003Cp>De AI-revolutie is volop bezig. Iedereen die wel eens met ChatGPT gewerkt heeft, kent ondertussen de kracht van \u003Cstrong>generatieve AI\u003C\u002Fstrong>: het vermogen van machines om teksten, beelden, code of andere content te maken op basis van een simpele prompt.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Maar de technologie staat niet stil. Nieuwe AI-systemen doen méér dan content genereren. Ze nemen initiatief, plannen zelf acties en voeren complexe taken uit zonder constante sturing. Dit noemen we \u003Cstrong>agentic AI\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Maar wat maakt agentic AI nu echt anders dan de generatieve tools waar we al zo vertrouwd mee zijn? In deze blog leggen we het verschil uit en waarom dat verschil belangrijk is.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Ch2>Terug naar de basis: wat doet generatieve AI?\u003C\u002Fh2>\u003Cp>\u003Cstrong>Generatieve AI\u003C\u002Fstrong> is ontworpen om iets nieuws te creëren op basis van bestaande data. Denk aan:\u003C\u002Fp>\u003Cp>ChatGPT die een blogpost schrijft,\u003C\u002Fp>\u003Cp>Midjourney die een beeld genereert,\u003C\u002Fp>\u003Cp>GitHub Copilot die je code aanvult.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>De werking is relatief eenvoudig:\u003Cbr>Je geeft een prompt → de AI genereert een output → jij beslist wat er daarna gebeurt.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Het systeem is \u003Cstrong>reactief\u003C\u002Fstrong> en werkt stap voor stap. Je vraagt iets, het antwoordt. Je wil iets anders? Dan geef je een nieuwe prompt.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Generatieve AI is dus enorm krachtig voor:\u003C\u002Fp>\u003Cp>Contentcreatie (teksten, visuals, audio, video),\u003C\u002Fp>\u003Cp>Ideevorming of inspiratie,\u003C\u002Fp>\u003Cp>Assistentie bij repetitieve taken.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Maar belangrijk: \u003Cstrong>de gebruiker blijft aan het roer.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Ch2>Waar verschilt agentic AI dan precies?\u003C\u002Fh2>\u003Cp>\u003Cstrong>Agentic AI\u003C\u002Fstrong> is gebouwd om autonoom te handelen. In plaats van louter te reageren op prompts, krijgt het een \u003Cstrong>doel\u003C\u002Fstrong> — en bepaalt het zelf \u003Cstrong>hoe\u003C\u002Fstrong> dat doel bereikt wordt.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Je hoeft dus niet elk stapje zelf te sturen. De AI bedenkt, plant, voert uit én stuurt bij indien nodig.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Concreet voorbeeld:\u003C\u002Fp>\u003Cp>\u003Cstrong>Generatieve AI:\u003C\u002Fstrong> Je vraagt ChatGPT om een marketingplan te schrijven.\u003C\u002Fp>\u003Cp>\u003Cstrong>Agentic AI:\u003C\u002Fstrong> Je geeft de opdracht \u003Ci>“Start een campagne voor ons nieuwe product”\u003C\u002Fi>. De AI:\u003C\u002Fp>\u003Cp>Vraagt relevante info op (bijvoorbeeld via integraties),\u003C\u002Fp>\u003Cp>Analyseert de doelgroep en concurrentie,\u003C\u002Fp>\u003Cp>Maakt een stappenplan,\u003C\u002Fp>\u003Cp>Schrijft teksten, plant posts in, stuurt mails uit,\u003C\u002Fp>\u003Cp>Houdt resultaten bij en optimaliseert indien nodig.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Agentic AI combineert dus meerdere stappen en technologieën om zelfstandig tot een resultaat te komen — met minimale input van de gebruiker.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Ch2>Vergelijking: generatieve AI vs. agentic AI\u003C\u002Fh2>\u003Cp>\u003Cstrong>Kenmerk\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cstrong>Generatieve AI\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cstrong>Agentic AI\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Werking\u003C\u002Fp>\u003Cp>Prompt → output\u003C\u002Fp>\u003Cp>Doel → plan → acties → resultaat\u003C\u002Fp>\u003Cp>Autonomie\u003C\u002Fp>\u003Cp>Laag\u003C\u002Fp>\u003Cp>Hoog\u003C\u002Fp>\u003Cp>Aantal stappen\u003C\u002Fp>\u003Cp>Eén per keer\u003C\u002Fp>\u003Cp>Meerdere in serie, inclusief feedback loops\u003C\u002Fp>\u003Cp>Rol gebruiker\u003C\u002Fp>\u003Cp>Stuurt elke stap\u003C\u002Fp>\u003Cp>Bepaalt doel, de rest gebeurt autonoom\u003C\u002Fp>\u003Cp>Sterktes\u003C\u002Fp>\u003Cp>Creatieve content, directe assistentie\u003C\u002Fp>\u003Cp>Zelfstandig taakbeheer, complexe workflows\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Ch2>Waarom het verschil tussen deze AI-vormen ertoe doet\u003C\u002Fh2>\u003Cp>Het verschil tussen generatieve en agentic AI is geen nuance — het verandert fundamenteel \u003Cstrong>wat AI voor je kan doen\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Met generatieve AI werk je sneller, creatiever en productiever. Maar je blijft zélf aan het stuur.\u003Cbr>Met agentic AI geef je dat stuur deels uit handen. Je vertrouwt erop dat de AI zelf tot het juiste resultaat komt — net zoals je een collega of digitale assistent een taak zou toevertrouwen.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Voor organisaties betekent dit:\u003C\u002Fp>\u003Cp>\u003Cstrong>Tijdsbesparing\u003C\u002Fstrong>: Minder micromanagement, minder handmatige input.\u003C\u002Fp>\u003Cp>\u003Cstrong>Efficiëntie\u003C\u002Fstrong>: Taken die normaal meerdere mensen of tools vragen, worden gecentraliseerd.\u003C\u002Fp>\u003Cp>\u003Cstrong>Schaalbaarheid\u003C\u002Fstrong>: Eén agent kan meerdere processen tegelijk beheren.\u003C\u002Fp>\u003Cp>\u003Cstrong>Toekomstgerichtheid\u003C\u002Fstrong>: Agentic AI vormt de basis voor AI-gedreven bedrijfsvoering.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Ch2>Benieuwd hoe jouw organisatie kan inspelen op deze evolutie?\u003C\u002Fh2>\u003Cp>Waar generatieve AI ons geholpen heeft sneller te creëren, biedt agentic AI de belofte om werk echt uit handen te nemen. Het verschil zit niet alleen in wat de technologie \u003Cstrong>kan doen\u003C\u002Fstrong>, maar in hoe we er als mens \u003Cstrong>mee samenwerken\u003C\u002Fstrong>. Neem contact op met onze experts voor een \u003Cstrong>gratis AI-inspiratiesessie\u003C\u002Fstrong>!\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.xploregroup.be\u002Fnl\u002Fcontact\u002F\">Neem contact op\u003C\u002Fa>\u003C\u002Fp>",{"__typename":1332,"id":1505,"title":1506,"uri":1507,"categories":1508,"image":1509,"postDate":1515,"postAuthor":13,"blocks":1516,"suffixBlocks":1546,"wpTitle":1562,"postContent":1563},"2343","¿Qué es la IA agéntica?","perspectivas\u002Fqué-es-la-ia-agéntica",[1397],[1510],{"__typename":12,"alt":13,"url":1511,"rawUrl":1512,"mimeType":497,"focalPoint":1513,"height":669,"width":1514},"https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FAgentic-AI.jpg?fit=cover&format=webp&s=pUCqu_Lg385noRJIIHjL2q26yH5X9bSk5pMu-QVBERI","https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FAgentic-AI.jpg",[18,18],958,"2025-09-08T10:55:01+02:00",[1517,1521,1525,1529,1533,1537],{"__typename":1351,"typeHandle":1352,"uid":1518,"title":1519,"richText":1520,"backgroundColor":1355},"0daa494a-aaf9-4791-9700-e64c71d71d20","El auge de los sistemas de IA que piensan, planifican y actúan de forma independiente","\u003Cp>La inteligencia artificial lleva años en auge. Usamos IA en motores de búsqueda, algoritmos de recomendación, modelos de lenguaje y chatbots, a menudo sin siquiera pensarlo. Pero la forma en que interactuamos con la IA está cambiando rápidamente. Cada vez más, ya no consideramos la IA como una \u003Ci>herramienta \u003C\u002Fi>inteligente, sino como un \u003Ci>socio \u003C\u002Fi>activo. Bienvenidos a la era de \u003Cstrong>la IA agéntica\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>En esta entrada de blog, explicamos exactamente qué es la IA agéntica, qué la distingue de la IA tradicional y por qué esta tecnología tendrá un impacto tan profundo en cómo trabajamos, creamos y tomamos decisiones.\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1522,"title":1523,"richText":1524,"backgroundColor":1355},"1bcf56d7-d712-49ae-9b49-8f1610b04e2a","El cambio: de la IA reactiva a los agentes autónomos","\u003Cp>La mayoría de los sistemas de IA que conocemos hoy en día son \u003Cstrong>reactivos\u003C\u002Fstrong>. Haces una pregunta y el sistema proporciona una respuesta. O introduces datos y el algoritmo predice un resultado. Piensa en ChatGPT, las recomendaciones de Netflix o los filtros de spam: útiles, pero siempre dependientes de la intervención y la guía humanas.\u003C\u002Fp>\u003Cp>La IA agéntica va un paso más allá. Estos sistemas funcionan como \u003Cstrong>\"agentes\" autónomos\u003C\u002Fstrong>: entidades digitales que reciben una tarea, planifican su propia ejecución y luego actúan de forma independiente. Ya no son simplemente reactivos, sino \u003Cstrong>orientados a objetivos, autónomos y adaptativos\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>Una IA agéntica no necesita una guía constante. Le asignas un objetivo y ella encuentra la mejor manera de lograrlo, incluyendo la recopilación de información, la toma de decisiones y los ajustes necesarios.\u003C\u002Fp>\u003Cp>\u003Cstrong>Importante:\u003C\u002Fstrong> en la práctica, casi siempre construimos un \u003Cstrong>\"human in the loop\"\u003C\u002Fstrong>. Un agente rara vez opera de forma completamente autónoma. Sin embargo, puedes ir otorgando \u003Cstrong>más libertad\u003C\u002Fstrong> gradualmente a medida que el sistema genera confianza y ofrece mejores resultados.\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1526,"title":1527,"richText":1528,"backgroundColor":1355},"2e60f010-acf7-4859-bd4f-3bf088afaca7","¿Qué hace que una IA sea “agéntica”?","\u003Cp>Para funcionar como \u003Ci>agente\u003C\u002Fi>, una IA debe poseer varias propiedades específicas:\u003C\u002Fp>\u003Ch3>1. Orientada a objetivos\u003C\u002Fh3>\u003Cp>Una IA agéntica trabaja con un \u003Cstrong>objetivo final\u003C\u002Fstrong>. No se le asigna simplemente una tarea (p. ej., \"generar un texto\"), sino una tarea con una ambición más amplia (p. ej., \"desarrollar una estrategia de contenido para el grupo objetivo X\").\u003C\u002Fp>\u003Ch3>2. Razonamiento y planificación\u003C\u002Fh3>\u003Cp>El sistema puede analizar problemas complejos, dividir las tareas en pasos, priorizar y definir un enfoque.\u003C\u002Fp>\u003Ch3>\u003Cstrong>3. Autonomía dentro de límites\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>La IA agéntica opera de forma \u003Cstrong>independiente\u003C\u002Fstrong>. Toma decisiones sin solicitar información constantemente, pero lo hace dentro de límites predefinidos (p. ej., directrices empresariales, principios éticos o limitaciones técnicas).\u003C\u002Fp>\u003Ch3>4. Memoria a largo plazo y conocimiento del contexto\u003C\u002Fh3>\u003Cp>Mientras que gran parte de la IA clásica se limita a una sola sesión, una IA agéntica puede retener información a lo largo del tiempo y utilizar el contexto para adaptar su comportamiento.\u003C\u002Fp>\u003Ch3>5. Adaptabilidad y autocorrección\u003C\u002Fh3>\u003Cp>La IA aprende de la retroalimentación o de las circunstancias cambiantes y puede mejorar a medida que avanza.\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1530,"title":1531,"richText":1532,"backgroundColor":1355},"d78c244a-5cae-4f9a-a605-bb8d677065a7","Un ejemplo concreto: de prompt a líder de proyecto","\u003Cp>Supongamos que le pides a una IA que te ayude con el lanzamiento de un producto. Un sistema de IA tradicional podría ayudarte ideando eslóganes o generando un correo electrónico. Pero una IA con capacidad de agencia va mucho más allá.\u003C\u002Fp>\u003Cp>Dale la tarea \"Garantizar el lanzamiento exitoso del producto X a un público joven\" y el sistema:\u003C\u002Fp>\u003Cul>\u003Cli>Determinará qué canales son adecuados (TikTok, Instagram, correo electrónico, influencers, etc.),\u003C\u002Fli>\u003Cli>Desarrollará un plan con plazos y resultados,\u003C\u002Fli>\u003Cli>Generará el contenido adecuado y lo distribuirá a través de los canales,\u003C\u002Fli>\u003Cli>Analizará los resultados y los ajustará cuando sea necesario,\u003C\u002Fli>\u003Cli>Y te mantendrá informado mediante resúmenes e informes.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>Un requisito previo para el éxito\u003C\u002Fstrong>: esto solo funciona si el agente tiene \u003Cstrong>suficiente contexto\u003C\u002Fstrong> sobre la \u003Cstrong>empresa\u003C\u002Fstrong>, el \u003Cstrong>público objetivo\u003C\u002Fstrong>, los \u003Cstrong>canales \u003C\u002Fstrong>y las \u003Cstrong>campañas anteriores\u003C\u002Fstrong>. Además, se integran \u003Cstrong>puntos de control\u003C\u002Fstrong>: por ejemplo, la \u003Cstrong>aprobación humana\u003C\u002Fstrong> para el lanzamiento, los límites presupuestarios y el \u003Cstrong>registro \u003C\u002Fstrong>para auditoría y cumplimiento normativo.\u003C\u002Fp>\u003Cp>El resultado es un gestor de proyectos digitales o un marketer de crecimiento que toma la iniciativa, pero \u003Cstrong>nunca actúa fuera del marco acordado por sí solo\u003C\u002Fstrong>.\u003C\u002Fp>",{"__typename":1351,"typeHandle":1352,"uid":1534,"title":1535,"richText":1536,"backgroundColor":1355},"9393b073-967a-4f1f-963d-25d8904e2f03","¿Qué significa esto para las organizaciones?","\u003Cp>El auge de la IA agencial tiene importantes implicaciones para empresas, gobiernos y organizaciones. Al permitir que los sistemas de IA planifiquen y ejecuten de forma independiente, podemos:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Trabajar de forma más eficiente\u003C\u002Fstrong> automatizando procesos repetitivos y complejos;\u003C\u002Fli>\u003Cli>\u003Cstrong>Innovar más rápido\u003C\u002Fstrong> probando y mejorando continuamente las alternativas;\u003C\u002Fli>\u003Cli>\u003Cstrong>Tomar mejores decisiones\u003C\u002Fstrong> analizando constantemente el contexto, los datos y la retroalimentación;\u003C\u002Fli>\u003Cli>\u003Cstrong>Dar a las personas más espacio\u003C\u002Fstrong> para centrarse en la creatividad, la empatía y la estrategia.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Pero ese poder conlleva responsabilidad. Porque si se permite que los sistemas de IA actúen de forma independiente, debemos establecer límites claros. ¿Cómo garantizamos que se mantengan dentro de los marcos éticos y legales? ¿Cómo mantenemos el control sin obstaculizar la innovación?\u003C\u002Fp>",{"__typename":1416,"typeHandle":1417,"uid":1538,"richText":1539,"buttonGroup":1540,"contentWidth":1428},"f45107a8-148b-40c1-a213-74bdb1460d12","\u003Ch2>La IA agéntica es el siguiente paso.\u003C\u002Fh2>\u003Cp>La IA agéntica anuncia una \u003Cstrong>nueva etapa\u003C\u002Fstrong> en lo que la IA puede hacer por nosotros. Ya no son asistentes pasivos, sino colegas digitales activos que pueden pensar, ayudar a construir y evolucionar, \u003Cstrong>siempre que se alimenten del contexto adecuado y operen dentro de marcos claros\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>En esta serie de blogs, le guiaremos paso a paso a través de los diferentes tipos de IA, desde la generativa hasta la agéntica. Cada tipo tiene su propia función, posibilidades y limitaciones. Juntos, forman los pilares del futuro del trabajo, la innovación y la tecnología.\u003C\u002Fp>\u003Cp>¿Le interesa saber cómo se utiliza esta tecnología en la práctica? ¿O cómo puede su organización experimentar con la IA agéntica? Siga nuestra serie o contáctenos para una conversación exploratoria.\u003C\u002Fp>",[1541],{"__typename":504,"id":1542,"uid":1543,"uri":13,"language":9,"settings":1544},"6649","f535f55d-2557-464d-b26a-04707b4d3fbc",{"__typename":478,"variant":1425,"size":480,"linkTo":1545,"scrollTargetUid":13,"iconifyIcon":13},{"__typename":42,"id":13,"title":13,"url":482,"target":13,"label":1388,"defaultLabel":484},[1547],{"__typename":1548,"typeHandle":1549,"uid":1550,"title":1551,"linkTo":1552,"items":1554},"relatedInsightsBlock_Entry","relatedInsightsBlock","a002a429-267e-453a-b9f4-5d994220758c","Perspectivas relacionadas",{"__typename":42,"id":13,"title":13,"url":469,"target":13,"label":1553,"defaultLabel":470},"Ver todas las perspectivas",[1555],{"__typename":1332,"id":1393,"title":1394,"uri":1395,"postDate":1412,"categories":1556,"image":1560},[1557,1558,1559],{"__typename":1338,"id":1398,"title":1399,"description":13},{"__typename":1338,"id":1401,"title":1402,"description":13},{"__typename":1338,"id":1404,"title":1405,"description":13},[1561],{"__typename":12,"alt":13,"url":1408,"rawUrl":1409,"mimeType":497,"focalPoint":1410,"height":1411,"width":956},"Wat is agentic AI?",{"__typename":1457,"html":1564},"\u003Cdiv class=\"elementor-section\">\u003Cdiv class=\"elementor-column\" data-column-size=\"100\">\u003Cp> \u003C\u002Fp>\n\u003Ch2>De opkomst van AI-systemen die zelf nadenken, plannen en handelen\u003C\u002Fh2>\n\u003Cp>Artificiële intelligentie is al jarenlang in opmars. We gebruiken AI in zoekmachines, aanbevelingsalgoritmes, taalmodellen en chatbots – vaak zonder erbij stil te staan. Maar de manier waarop we met AI omgaan, verandert snel. Steeds vaker hebben we het niet meer over AI als een slimme \u003Cem>tool\u003C\u002Fem>, maar als een actieve \u003Cem>partner\u003C\u002Fem>. Welkom in het tijdperk van \u003Cstrong>agentic AI\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>In deze blog leggen we uit wat agentic AI precies is, wat het onderscheidt van traditionele AI en waarom deze technologie zo’n grote impact zal hebben op hoe we werken, creëren en beslissen.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>De verschuiving: van reactieve AI naar zelfstandige agents\u003C\u002Fh2>\n\u003Cp>De meeste AI-systemen die we vandaag kennen zijn \u003Cstrong>reactief\u003C\u002Fstrong>. Jij stelt een vraag, het systeem geeft een antwoord. Of je voert data in en het algoritme voorspelt een uitkomst. Denk aan ChatGPT, Netflix-aanbevelingen of spamfilters: nuttig, maar altijd afhankelijk van menselijke input en sturing.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Agentic AI\u003C\u002Fstrong> gaat een stap verder. Deze systemen werken als \u003Cstrong>autonome ‘agents’\u003C\u002Fstrong>: digitale entiteiten die een opdracht krijgen, zelf plannen hoe ze die uitvoeren en vervolgens zelfstandig acties ondernemen. Ze zijn niet langer alleen reactief, maar \u003Cstrong>doelgericht, zelfstandig en adaptief\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Een agentic AI hoeft dus niet telkens aangestuurd te worden. Je geeft het een doel en het bedenkt zelf de beste weg ernaartoe – inclusief het verzamelen van informatie, het nemen van beslissingen en het bijsturen waar nodig.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Belangrijk om te weten:\u003C\u002Fstrong> in de praktijk bouwen we bijna altijd een \u003Cstrong>“human in the loop”\u003C\u002Fstrong> in. Een agent werkt dus zelden volledig autonoom. Je kunt wel stap voor stap \u003Cstrong>meer vrijheid\u003C\u002Fstrong> geven naarmate het systeem vertrouwen opbouwt en betere resultaten levert.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Wat maakt een AI ‘agentic’?\u003C\u002Fh2>\n\u003Cp>Om als \u003Cem>agent\u003C\u002Fem> te functioneren, moet een AI over een aantal specifieke eigenschappen beschikken:\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>1. Doelgerichtheid\u003C\u002Fh3>\n\u003Cp>Een agentic AI werkt naar een \u003Cstrong>einddoel\u003C\u002Fstrong> toe. Het krijgt niet alleen een taak (bv. “genereer een tekst”), maar een opdracht met een bredere ambitie (bv. “ontwikkel een contentstrategie voor doelgroep X”).\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>2. Redeneervermogen en planning\u003C\u002Fh3>\n\u003Cp>Het systeem kan complexe problemen analyseren, taken opdelen in stappen, prioriteiten stellen en een aanpak uitstippelen.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>3. Autonomie binnen kaders\u003C\u002Fh3>\n\u003Cp>Agentic AI werkt \u003Cstrong>zelfstandig\u003C\u002Fstrong>. Het neemt beslissingen zonder voortdurend input te vragen, maar doet dat binnen vooraf gedefinieerde grenzen (bijvoorbeeld zakelijke richtlijnen, ethische principes of technische beperkingen).\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>4. Langetermijngeheugen en contextbewustzijn\u003C\u002Fh3>\n\u003Cp>Waar veel klassieke AI beperkt is tot één sessie, kan een agentic AI informatie vasthouden over langere tijd en context gebruiken om zijn gedrag aan te passen.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>5. Aanpasbaarheid en zelfcorrectie\u003C\u002Fh3>\n\u003Cp>De AI leert uit feedback of veranderende omstandigheden en kan zichzelf verbeteren terwijl het bezig is.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Een concreet voorbeeld: van prompt naar projectleider\u003C\u002Fh2>\n\u003Cp>Stel dat je een AI vraagt om te helpen bij een productlancering. Een traditioneel AI-systeem helpt je door een aantal slogans te bedenken of een e-mailtekst te genereren. Maar een agentic AI gaat veel verder.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Geef het de opdracht “Zorg voor een succesvolle lancering van product X naar een jong publiek” en het systeem zal:\u003C\u002Fp>\u003Cul>\u003Cli>Zelf bepalen welke kanalen geschikt zijn (TikTok, Instagram, e-mail, influencers...),\u003C\u002Fli>\u003Cli>Een plan uitwerken met deadlines en deliverables,\u003C\u002Fli>\u003Cli>De juiste content genereren en verdelen over kanalen,\u003C\u002Fli>\u003Cli>Resultaten analyseren en waar nodig bijsturen,\u003C\u002Fli>\u003Cli>En jou op de hoogte houden via samenvattingen en rapportages.\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Voorwaarde voor succes\u003C\u002Fstrong>: dit werkt alleen als de agent \u003Cstrong>voldoende context\u003C\u002Fstrong> heeft over het \u003Cstrong>bedrijf\u003C\u002Fstrong>, de \u003Cstrong>doelgroep\u003C\u002Fstrong>, de \u003Cstrong>kanalen\u003C\u002Fstrong> en \u003Cstrong>eerdere campagnes\u003C\u002Fstrong>. Bovendien bouw je \u003Cstrong>controlepunten\u003C\u002Fstrong> in: bijvoorbeeld \u003Cstrong>menselijke goedkeuring\u003C\u002Fstrong> voor live‑zetting, budgetcaps en \u003Cstrong>logging\u003C\u002Fstrong> voor audit & compliance.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Het resultaat is een digitale projectleider of growth marketeer die initiatief neemt, maar \u003Cstrong>nooit op eigen houtje buiten de afgesproken kaders\u003C\u002Fstrong> handelt.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Wat betekent dit voor organisaties?\u003C\u002Fh2>\n\u003Cp>De opkomst van agentic AI heeft grote implicaties voor bedrijven, overheden en organisaties. Door AI-systemen zelfstandig te laten plannen en uitvoeren, kunnen we:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Efficiënter werken\u003C\u002Fstrong>, doordat repetitieve en complexe processen geautomatiseerd worden;\u003C\u002Fli>\u003Cli>\u003Cstrong>Sneller innoveren\u003C\u002Fstrong>, doordat AI continu alternatieven test en verbetert;\u003C\u002Fli>\u003Cli>\u003Cstrong>Betere beslissingen nemen\u003C\u002Fstrong>, dankzij continue analyse van context, data en feedback;\u003C\u002Fli>\u003Cli>\u003Cstrong>Mensen meer ruimte geven\u003C\u002Fstrong> om zich te richten op creativiteit, empathie en strategie.\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>Maar met die kracht komt ook verantwoordelijkheid. Want als AI-systemen zelfstandig mogen handelen, moeten we duidelijke grenzen stellen. Hoe zorgen we dat ze binnen de ethische en wettelijke kaders blijven? Hoe behouden we controle zonder innovatie te belemmeren?\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Agentic AI is de volgende stap\u003C\u002Fh2>\n\u003Cp>Agentic AI luidt een \u003Cstrong>nieuwe fase\u003C\u002Fstrong> in van wat AI voor ons kan betekenen. Het zijn geen passieve assistenten meer, maar actieve digitale collega’s die kunnen meedenken, meebouwen en mee-evolueren – \u003Cstrong>mits ze gevoed worden met de juiste context\u003C\u002Fstrong> en \u003Cstrong>opereren binnen duidelijke kaders\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>In deze blogreeks nemen we je stap voor stap mee door de verschillende soorten AI – van generatieve AI tot agentic AI. Elk type heeft zijn rol, zijn mogelijkheden en zijn grenzen. Samen vormen ze de bouwstenen van de toekomst van werk, innovatie en technologie.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Benieuwd hoe deze technologie in de praktijk ingezet wordt? Of hoe jouw organisatie kan experimenteren met agentic AI? 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