¿Cómo adoptan las empresas la Inteligencia Artificial?

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CLAVES:

  • El 80% de las empresas tiene Inteligencia Artificial activa en su producción, siendo el I+D el impulsor de ingresos más efectivo de esta tecnología hoy día.
  • La ingeniería de datos (27%), el flujo de trabajo inteligente y la automatización de la toma de decisiones (23%), y las operaciones analíticas a escala (20%) se encuentran entre las capacidades de Inteligencia Artificial más importantes.
  • Las tecnologías de la información y las telecomunicaciones (59%), los servicios comerciales y profesionales (43%) y los servicio al cliente (32%) son las tres industrias que recibirán el impacto más positivo de la Inteligencia Artificial.
  • Google ha lanzado la nueva versión de AlphaGo, que es completamente autodidacta, no necesitando la enseñanza del ser humano.

Teradata encargó a Vanson Bourne que completara la encuesta State Of Artifical Intelligence For Enterprises en julio de 2017. Vanson Bourne seleccionó a 260 responsables de toma de decisiones de TI de organizaciones con ingresos globales de más de 50 millones de dólares al año 2017. Si bien Teradata comisionó el estudio, la investigación no está orientada a sus productos, sino que brinda una perspectiva útil sobre la adopción de la Inteligencia Artificial (IA) en la empresa.

[section label=”El 80% de las empresas tienen Inteligencia Artificial en su producción” anchor=”El 80% de las empresas tienen Inteligencia Artificial en su producción”]

El 80% de las empresas tienen Inteligencia Artificial en su producción

Los puntos clave del estudio de Vanson Bourne sobre la adopción de la IA y los planes en empresas globales incluyen los siguientes:

Actualmente, el 80% de las empresas tiene IA activa en su producción, y Asia pacífico lidera todas las regiones, de hecho, el 48% de las empresas de Asia pacífico entrevistadas informan que la IA tiene un uso significativo dentro de sus empresas, desplegada operacionalmente en la actualidad. América del Norte (39%) y Europa (31%) también confían en el uso de la Inteligencia Artificial en todos sus negocios con implementaciones en todas sus operaciones. Globalmente, el 42% de las empresas ve mucho espacio para una mayor implementación e integración de procesos.

Figure-1-80-Enterprises-Have-Adopted-AI
Fuente: Teradata

Documento relacionado en Thinknowa:

La innovación de productos y la investigación y desarrollo (I + D) (50%) es el impulsor de ingresos más efectivo de la Inteligencia Artificial hoy en día. El servicio al cliente (46%), la cadena de suministro y operaciones (42%), la seguridad y la mitigación de riesgos (40%) y las ventas (34%) son los impulsores de ingresos adicionales de la Inteligencia Artificial hoy. El estudio también encontró que las empresas están comenzando a generar ingresos de la IA más rápido de lo que muchos anticipaban, con entre el 25% y el 50% de los encuestados que informaron aumentos.

Figure-2-Sources-of-revenue-from-AI
Fuente: Teradata

La ingeniería de datos (27%), el flujo de trabajo inteligente y la automatización de la toma de decisiones (23%), y las operaciones analíticas a escala (20%) se encuentran entre las capacidades de Inteligencia Artificial más importantes en uso hoy en día. La mayoría de las empresas entrevistadas para el estudio están utilizando varias técnicas analíticas de IA diferentes con flujo de trabajo inteligente y automatización de decisiones con el mayor potencial percibido a largo plazo para aumentar la productividad y reducir los costos.

Figure-2a-AI-Capabilities-In-Business
Fuente: Teradata

Las tecnologías de la información y las telecomunicaciones (59%), los servicios comerciales y profesionales (43%) y los servicio al cliente (32%) son las tres industrias que recibirán el impacto más positivo de la Inteligencia Artificial. En las regiones de Europa y Asia pacífico, se prevé que la fabricación y la producción serán la tercera industria más afectada positivamente por IA.

[section label=”Asia pacífico: líder mundial de Inteligencia Artificial aplicada a la empresa” anchor=”Asia pacífico: líder mundial de Inteligencia Artificial aplicada a la empresa”]

Asia pacífico: líder mundial de Inteligencia Artificial aplicada a la empresa

Asia pacífico es el líder mundial en impulsar los ingresos de IA por innovación de productos e I + D por un amplio margen (65% versus 49% para Europa). América del Norte es el líder mundial en el uso de tecnologías de Inteligencia Artificial para impulsar mayores ventas (40%), y Europa es el líder mundial en el uso de inteligencia artificial para agilizar las cadenas de suministro y las operaciones (47%).

De hecho, mientras que solo el 8 por ciento de los encuestados en todo el mundo tiene un Chief Officer AI dedicado al desarrollo de la Inteligencia Artificial en la actualidad; sin embargo, Asia pacífico ya emplea esta posición el 17 por ciento del tiempo. La mayoría de los encuestados globales utilizan un rol C-suite más tradicional, como un CIO o CTO.

Screenshot_1
Fuente: Teradata

Diferentes regiones tienen impulsores de ingresos significativamente diferentes relacionados con sus inversiones en IA, Asia pacífico también es el líder mundial en impulsar los ingresos de AI de Servicio al Cliente (54%), Marketing (50%) y Gestión de capital y activos (46%).

Figure-3-AI-Revenue-Contribution-By-Region
Fuente: Teradata

[section label=”La mejora de la experiencia del clientes impulsa a la Inteligencia Artificial empresarial” anchor=”La mejora de la experiencia del clientes impulsa a la Inteligencia Artificial empresarial”]

La mejora de la experiencia del clientes impulsa a la Inteligencia Artificial empresarial

Las actuales iniciativas mundiales de la Industria 4.0 en marcha son consistentes con este hallazgo, ya que los fabricantes buscan análisis predictivos, Machine Learning e Inteligencia Artificial para aumentar los rendimientos de producción y aumentar el crecimiento de los ingresos.

Figure-4-Industries-Most-Positively-Impacted-by-AI
Fuente: Teradata

La mejora de las experiencias de los clientes impulsa a la mayoría de las empresas (62%) a invertir en nuevas tecnologías de Inteligencia Artificial. Mejorar la innovación de productos (59%) y lograr una mayor excelencia operacional (55%) es la segunda y tercera razón por la cual las empresas invierten hoy en IA. Con base en los datos de la encuesta, los planes de inversión de Asía pacífico llevarán a la región a ser un líder mundial capitalizando las fortalezas de AI para impulsar una mayor innovación de productos.

Figure-5-New-Areas-of-AI-Investment
Fuente: Teradata

Las empresas consideran que la Inteligencia Artificial puede revolucionar los negocios, automatizar procesos y tareas repetitivas (60%) y ofrecer nuevos conocimientos estratégicos actualmente no disponibles (50%). Se predice que las empresas europeas tomarán el liderazgo mundial en el uso de la IA para automatizar procesos y tareas repetitivas. Se prevé que APAC domine el uso de la inteligencia artificial para automatizar áreas de trabajo de conocimiento, reduciendo la necesidad de recursos humanos costosos (77%).

Figure-6-Revolutionizing-Business-With-AI
Fuente: Teradata

[section label=”La falta de infraestructuras es la principal barrera” anchor=”La falta de infraestructuras es la principal barrera”]

La falta de infraestructuras es la principal barrera

El 91% ve las barreras por delante con la falta de infraestructura de TI (40%) y la falta de talento (34%) como las más importantes. Las barreras adicionales que las empresas están trabajando para superar incluyen la percepción de que la tecnología de Inteligencia Artificial todavía es incipiente y no se ha demostrado (33%), y la falta de presupuesto para su implementación (30%). El siguiente gráfico ilustra las barreras para la adopción de la IA a nivel mundial y por región.

Figure-7-Barriers-to-AI-Adoption
Fuente: Teradata

A pesar de ello, la mayoría de los encuestados a nivel mundial confía en los proveedores y socios para que tengan las habilidades necesarias para impulsar los resultados de su negocio. Solo el 28 por ciento de los encuestados reconoce que su organización tiene suficiente personal capacitado internamente para comprar, construir y desplegar Inteligencia Artificial. Sin embargo, los datos de Asia pacífico muestran que tiene una ruta mucho más clara, con muy pocos encuestados que dicen que no tienen proveedores ni talento interno para implementar IA.

Screenshot_6
Fuente: Teradata

Además, entre el 70 y el 81 por ciento de los encuestados a nivel mundial están viendo beneficios o anticipando los beneficios de tener técnicas de análisis en producción. Los encuestados perciben que todas las técnicas analíticas populares son beneficiosas.

Screenshot_2
Fuente: Teradata

Por último, si bien, la Inteligencia Artificial es una tendencia creciente, los líderes empresariales no perciben que sea una amenaza creciente, ya que creen que no reemplazará a los trabajadores para 2030. Solo el 21 por ciento de los encuestados afirma que la IA reemplazará a los humanos para la mayoría de las tareas empresariales en su organización. Los encuestados de las Américas son significativamente menos propensos a informar que esta tecnología está lista para reemplazar a los trabajadores frente a los de Asia pacífico.

Screenshot_3
Fuente: Teradata

[section label=”AlphaGo de Google es capaz de pensar por sí mismo” anchor=”AlphaGo de Google es capaz de pensar por sí mismo”]

AlphaGo de Google es capaz de pensar por sí mismo

El programa de Inteligencia Artificial AlphaGo de Google se ha superado a sí mismo. Si en 2016 sorprendió tras derrotar a los mejores jugadores humanos del ancestral juego de mesa chino ‘Go’ -en el que prima la intuición para ganar-, ahora se presenta con una nueva versión totalmente autodidacta: es más inteligente que nunca y ha aprendido en tres días lo que a la humanidad le ha costado miles de años y, además, sin ninguna ayuda humana.

Y es que la versión actualizada de AlphaGo es completamente autodidacta, un paso importante hacia el surgimiento de máquinas que logran capacidades sobrehumanas “sin aportaciones humanas“, según apuntaron los responsables del programa a la revista Nature. El juego de ‘Go’, es el desafío más complejo para dos personas que jamás se haya inventado y Alphago Zero lo ha dominado en tres días. Creó sus propios y novedosos movimientos para eclipsar todo el conocimiento que al ser humano tanto le ha costado obtener. Finalmente, AlphaGo Zero ganó por 100 juegos a 0, venciendo de forma apabullante.

“AlphaGo Zero no solo redescubrió los patrones y aperturas comunes que los humanos tienden a jugar… finalmente los descartó, prefiriendo sus propias variantes que los humanos ni siquiera conocen ni juegan en este momento“, dijo David Silver, investigador principal de Alpha Go.

La IA de Google venció por 100 juegos a 0. Una victoria aplastante. La nueva versión autodidacta ha redefinido su arsenal de entrenamiento al erradicar por completo las enseñanzas humanas de su educación. Cogió las reglas del juego y, sin instrucciones, el sistema aprendió cómo jugar, ideó una estrategia y mejoró mientras compitió contra sí mismo, comenzando con un “juego completamente al azar” para descubrir cómo se ganaba la recompensa.

A diferencia de sus predecesores, AlphaGo Zero “ya no está limitado por los límites del conocimiento humano“, escribió el CEO de Silver y DeepMind, Demis Hassabis, en un blog.

En el estudio, los investigadores exponen cómo esa sorprendente autosuficiencia ha ‘afilado’ la inteligencia de Zero hasta convertirla en devastadora: en 100 juegos no hubo ni una sola victoria contraria. Ni una.

Aparte de ser autodidacta, el equipo detrás de AlphaGo Zero atribuye su dominio de Go a una red neuronal única mejorada (como si de un cerebro humano se tratara) y a simulaciones de entrenamiento más avanzadas.

En comparación, AlphaGo Zero tenía cuatro unidades de procesamiento de datos y AlphaGo 48; AlphaGo Zero jugó 4,9 millones de juegos de entrenamiento durante tres días y AlphaGo 30 millones de juegos durante varios meses. Pero solo porque la IA esté avanzando a un ritmo tan asombroso no significa necesariamente que Zero sea más inteligente o más capaz de los humanos en otros campos lejos de este complicado juego de mesa inventado hace más de 2.500 años.

Sin embargo, este no es el comienzo de ningún fin porque AlphaGo Zero, como todas las otras IA exitosas hasta ahora, es extremadamente limitado en lo que sabe y en lo que puede hacer en comparación con los humanos e incluso con otros animales“, aclaró Satinder Singh de la Universidad de Michigan (EE. UU.).

DOCUMENTO COMPLETO: State of Artificial Intelligence for enterprises

Screenshot_4

TERADATA. State of Artificial Intelligence for enterprises. 2017. [consultado 24-10-2017]. Disponible en: http://assets.teradata.com/resourceCenter/downloads/AnalystReports/Teradata_Report_AI.pdf

DEEPMIND. AlphaGo Zero: Learning from scratch. 2017. [consultado 24-10-2017]. Disponible en: https://deepmind.com/blog/alphago-zero-learning-scratch/

NATURE. Mastering the game of Go without human knowledge. 19 de octubre de 2017. [consultado 24-10-2017]. Disponible en: https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html

FORBES. 80% Of Enterprises Are Investing In AI Today. 16 de octubre de 2017. [consultado 24-10-2017]. Disponible en: https://www.forbes.com/sites/louiscolumbus/2017/10/16/80-of-enterprises-are-investing-in-ai-today/#1098b5ca4d8e

MUY INTERESANTE. La IA autodidacta de Google ya no necesita a los humanos. 2017. [consultado 24-10-2017]. Disponible en: https://www.muyinteresante.es/tecnologia/articulo/la-ia-autodidacta-de-google-ya-no-necesita-a-los-humanos-811508407551/amp

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  43. Inter Rapid Wien live score (and video online live stream*) starts on 21.2.2019. at 20:00 UTC time at San Siro/Giuseppe Meazza stadium, Milan, Italy in UEFA Europa League, Knockout stage – Europe. Here on SofaScore livescore you can find all Inter vs Rapid Wien previous results sorted by their H2H matches. Links to Inter vs. Rapid Wien video highlights are collected in the Media tab for the most popular matches as soon as video appear on video hosting sites like Youtube or Dailymotion. We’re not responsible for any video content, please contact video file owners or hosters for any legal complaints tinyurl.

  44. Ernest Quintana, 78, was at Kaiser Permanente Medical Center in Fremont when a doctor – appearing on the robot’s screen – informed him that he would die within a few days.

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  45. These three figures — William Rick Singer, Mark Riddell and Rudolph Meredith, respectively — are at the center of the nationwide scandal in which 33 parents are accused of using their wealth and means to help their children game the college admissions system.
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  46. Christina was born in the royal castle Tre Kronor on 18 December [O.S. 8 December] 1626. Her parents were the Swedish king Gustavus Adolphus and his German wife, Maria Eleonora, had already had two daughters—a stillborn princess in 1620, and then the first Princess Christina, who was born in 1623 and died the following year.[note 3] Excited expectation surrounded Maria Eleonora’s third pregnancy in 1626. When the baby was born, it was first thought to be a boy as it was “hairy” and screamed “with a strong, hoarse voice.”she later wrote in her autobiography that, “Deep embarrassment spread among the women when they discovered their mistake.” The king, though, was very happy, stating, “She’ll be clever, she has made fools of us all!”[16] From most accounts, Gustav Adolf appears to have been closely attached to his daughter, and she appears to have admired him greatly.

  47. Despite residing in Germany for nearly 30 years, there are still some things I cannot wrap my mind around. I may have married a German, pay German taxes, and have German(-American) children, but I guess my US mentality still shines through.

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  48. The Portuguese road Prevention agency (PRP) has this week called for more and improved traffic stops in Portugal. The agency has also deemed current actions by law enforcement officials as ineffective in dealing with the majority of serious traffic offences.

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