Gartner’s 2016 Hype Cycle for Emerging Technologies Identifies Three Key Trends That Organizations Must Track to Gain Competitive Advantage

016 Hype Cycle Special Report Distills Insight From More Than 2,000 Technologies

The technologies on Gartner Inc.’s Hype Cycle for Emerging Technologies, 2016 reveal three distinct technology trends that are poised to be of the highest priority for organizations facing rapidly accelerating digital business innovation.

Transparently immersive experiences, the perceptual smart machine age, and the platform revolution are the three overarching technology trends that profoundly create new experiences with unrivaled intelligence and offer platforms that allow organizations to connect with new business ecosystems.

The Hype Cycle for Emerging Technologies report is the longest-running annual Gartner Hype Cycle, providing a cross-industry perspective on the technologies and trends that business strategists, chief innovation officers, R&D leaders, entrepreneurs, global market developers and emerging-technology teams should consider in developing emerging-technology portfolios.

“The Hype Cycle for Emerging Technologies is unique among most Hype Cycles because it distills insights from more than 2,000 technologies into a succinct set of must-know emerging technologies and trends that will have the single greatest impact on an organization’s strategic planning,” said Mike J. Walker, research director at Gartner. “This Hype Cycle specifically focuses on the set of technologies that is showing promise in delivering a high degree of competitive advantage over the next five to 10 years.” (see Figure 1)

Figure 1. Hype Cycle for Emerging Technologies, 2016

Source: Gartner (August 2016)

“To thrive in the digital economy, enterprise architects must continue to work with their CIOs and business leaders to proactively discover emerging technologies that will enable transformational business models for competitive advantage, maximize value through reduction of operating costs, and overcome legal and regulatory hurdles,” said Mr. Walker. “This Hype Cycle provides a high-level view of important emerging trends that organizations must track, as well as the specific technologies that must be monitored.”

Key Technology Trends

Transparently immersive experiences: Technology will continue to become more human-centric to the point where it will introduce transparency between people, businesses and things. This relationship will become much more entwined as the evolution of technology becomes more adaptive, contextual and fluid within the workplace, at home, and interacting with businesses and other people.

Critical technologies to be considered include 4D Printing, Brain-Computer Interface, Human Augmentation, Volumetric Displays,Affective Computing, Connected Home, Nanotube Electronics, Augmented Reality, Virtual Reality and Gesture Control Devices.

The perceptual smart machine age: Smart machine technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks that will allow organizations with smart machine technologies to harness data in order to adapt to new situations and solve problems that no one has encountered previously. Enterprises that are seeking leverage in this theme should consider the following technologies: Smart Dust, Machine Learning, Virtual Personal Assistants, Cognitive Expert Advisors, Smart Data Discovery, Smart Workspace, Conversational User Interfaces, Smart Robots, Commercial UAVs (Drones), Autonomous Vehicles, Natural-Language Question Answering, Personal Analytics, Enterprise Taxonomy and Ontology Management, Data Broker PaaS (dbrPaaS), and Context Brokering.

The platform revolution: Emerging technologies are revolutionizing the concepts of how platforms are defined and used. The shift from technical infrastructure to ecosystem-enabling platforms is laying the foundations for entirely new business models that are forming the bridge between humans and technology. Within these dynamic ecosystems, organizations must proactively understand and redefine their strategy to create platform-based business models, and to exploit internal and external algorithms in order to generate value. Key platform-enabling technologies to track include Neuromorphic Hardware, Quantum Computing, Blockchain, IoT Platform, Software-Defined Security and Software-Defined Anything (SDx).

“These trends illustrate that the more organizations are able to make technology an integral part of their employees’, partners’ and customers’ experience, the more they will be able to connect their ecosystems to platforms in new and dynamic ways,” said Mr. Walker. “Also, as smart machine technologies continue to evolve, they will become part of the human experience and the digital business ecosystem.”

Gartner clients can read more in the report “Hype Cycle for Emerging Technologies, 2016.” This report is part of Gartner’s Hype Cycle Special Report for 2016. This Special Report provides strategists and planners with an assessment of the market hype, maturity, business benefit and future direction of more than 2,000 technologies, grouped into 11 topic areas. Learn more in the complimentary webinar “Gartner Hype Cycles 2016: Major Trends and Emerging Technologies.”

Emerging technologies will be further discussed during Gartner Symposium/ITxpo 2016, the world’s most important gathering of CIOs and other senior IT executives. Follow news and updates on Twitter using#GartnerSYM.

Fuente: Gartner’s 2016 Hype Cycle for Emerging Technologies Identifies Three Key Trends That Organizations Must Track to Gain Competitive Advantage

Microsoft lanza su estrategia AI. Microsoft artificial intelligence moves beyond Office 365

Artificial intelligence is poised to pervade every area of business to boost revenue and improve operations.

ATLANTA — With artificial intelligence built into virtually every portion of its software stack, Microsoft’s grand vision is to make workers far more productive. But many workers are still warming to the company’s cloud productivity suite, which requires new ways of collaborating and working.

Over the past three years, Microsoft has touted Office 365services as part of its cloud-first, mobile-first vision, enabling companies to work from anywhere easily and securely. It envisions customers using services like SharePoint Online, the cloud-based collaboration tool, to exchange documents without email attachments; OneDrive to centralize file storage; and Skype for Business to enable teleconferencing and video chat.

Office 365 helped Dusseldorf, Germany-based Henkel Corp., a 140-year-old manufacturer of products including Dial soap and adhesives, step into the future.

“The demand was so strong among business users for more collaboration,” said Markus Petrak, Henkel’s corporate director of IT digital workplace. “We had such an outdated workplace.”

Rather than upgrade its Office 2003 applications, the company migrated to Office 365.

“It was rocket science two years ago, and now the business is adapting,” he said.

At the Microsoft Ignite conference here this week, the vendor fleshed out its strategy for companies like Henkel to use the entire stack of services — from the Azure cloud to Office 365 integrated with Dynamics CRM to Cortana natural language digital assistant to new Microsoft artificial intelligence (AI) technologies — to become modern, agile and customer-focused.

Fuente: Microsoft artificial intelligence moves beyond Office 365

Build a chat bot in ten minutes with Watson – IBM Watson

We recently released the Watson Conversation service to make the difficult task of automatically understanding and responding to customers as simple as possible. The service provides a nifty GUI for training and configuring intents and dialog flow. As part of the launch, we’ve created some handy getting started resources, including a video, a demo, and a basic tutorial.

Fuente: Build a chat bot in ten minutes with Watson – IBM Watson

Special Report: Artificial intelligence apps come of age

Learn how artificial intelligence apps boost sales and how AI affects data center infrastructure, app development, CRM, big data analytics and more.

Introduction

Artificial intelligence is expected to be ubiquitous within just five years, as developers gain access to cognitive technologies through readily available algorithms. With AI, companies are able to make sense of unstructured data, improve data center efficiency or meet the needs of customers who demand nothing less than smart apps and personalized interactions.

In this guide, we cover the technologies that encompass the umbrella termartificial intelligence, including image recognition, machine learning, deep neural networks and speech recognition. Learn how artificial intelligence apps help businesses bridge customer service gaps and gain sales intelligence from big data, how AI is changing the way developers build applications, and the ways AI technologies affect data center infrastructure.

We also cover examples of how businesses successfully use AI today, along with the challenges that surround cognitive systems such as machine learning.

1Artificial intelligence apps

Artificial intelligence seeds down to business apps

Businesses have access to more information than ever before, and they are using AI technologies to make the most of that data.

In this section, learn about the AI technologies being applied to business apps, such as AI chatbots in customer relationship management systems and deep learning for advanced analytics.

2AI myths — busted

AI chatbots will steal your job and other myths

Para continuar leyendo: Special Report: Artificial intelligence apps come of age

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Deep learning tools make hay of unstructured data

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El STEM está cambiando el mundo mucho más de lo que crees – Jot Down Cultural Magazine

STEM. Este acrónimo es el presente y el futuro del mundo laboral, y también el cenit y el nadir del futuro de la humanidad. Science, technology, engineering y mathematics. En español, el acrónimo equivalente es CTIM: Ciencias, Tecnologías, Ingenierías y Matemáticas.

Por cada cien estudiantes que obtienen un grado de ciencia o ingeniería en universidades de Estados Unidos, según cálculos de Keith Maskus, un economista de la Universidad de Colorado, el país gana sesenta y dos patentes tecnológicas nuevas. Esto suena muy abstracto, así que vayamos a lo concreto: prácticamente todo el crecimiento de la renta desde 1870 en Inglaterra y Estados Unidos se debe a la innovación tecnológica.

Quien no se vea entre probetas o aceleradores de partículas, que deje de imaginar: no solo van a desaparecercasi todos los trabajos que existen, sino que el 65% de los niños que ahora empiezan educación primaria estarán empleados en un trabajo que ni siquiera ha sido inventado aún.

¿Inglés? ¿Chino? Todos deberemos tener nociones de programación, de código, el nuevo lenguaje universal. Los niños ya empiezan a usar Scratch para iniciarse en la sintaxis de este nuevo idioma, pero sobre todo en la forma de pensar. Si somos ya adultos y no tenemos ni repajolera idea de lo que es todo esto, Scratch también constituye un buen punto de partida. Y los tutoriales de code.org. Y luego deberemos familiarizarnos con la programación real, sin pantalla mediante, como la que ofrece Arduino.

Crear robots con Arduino ya está al alcance de los niños, que emplean conceptos de electrónica, motores, sensores y posibilidades como nuevos demiurgos. Todos podemos empezar hoy a practicar con Arduino, y un proyecto personal a largo plazo podría ser el construir nuestra propia impresora 3D. El siguiente paso, Unity, una herramienta para uso personal. Todo ello impone una nueva lógica y aprender a abstraer procesos. No basta con aprender un nuevo idioma, sino que también deberemos saber qué comunicar con él. Cuanto antes empecemos a esquematizar así los problemas, más nos adaptaremos a los nuevos entornos laborales que se avecinan.

Si el STEM se te atraganta o lo consideras digno de nerds o geeks, debes saber que el 80% de todos los trabajos de la próxima década requerirán conocimientos tecnológicos (en España únicamente el 9% se especializa en STEM). Solo en el ámbito de la biotecnología, si en 1999 los beneficios de patentes creadas por universidades en Estados Unidos era de seiscientos treinta y cinco millones, en 2010 ya era el triple, al tiempo que creaban casi un millón y medio de empleos nuevos. Un mensaje pertinente sobre todo en España, donde un 23% de los españoles se declara tecnófobo.

Fuente: El STEM está cambiando el mundo mucho más de lo que crees – Jot Down Cultural Magazine

En solo 5 años, el 6% de los empleos serán destruidos por la Inteligencia Artificial

Hacen tatuajes, empiezan a intervenir en cadenas de comida rápida como McDonalds, y todo esto no ha hecho más que empezar.

Porque los algoritmos se revelan como más eficaces que los cerebros humanos a la hora de realizar tareas que creíamos exclusivas, como el diagnóstico médico o incluso la redacción de notas de prensa o noticias. La IA, de hecho, puede que en solo 5 años se quede con el 6% de los empleos.

Mecanización y salarios

Según varios estudios para el año 2021 hasta el 6% de los trabajos humanos lo ocuparán robots.

Los economistas Loukas Karabarbounis y Brent Neiman, de la Escuela de Negocios de la Universidad de Chicago, han analizado datos de 56 países diferentes, descubriendo que en 38 de ellos se había dado también una caída significativa de la participación de los trabajadores en la renta nacional, y que este desplome se debe a una “mayor eficiencia de los sectores que producen capital que cabe atraibuir a los avances en la informática y en la tecnología de la información”.

¿Deberíamos coger nuestros martillos y empezar a destruir los robots como antaño los luditas hacían lo propio con las de máquinas y establecimientos fabriles durante la Primera Revolución Industrial (1811)? Tal vez nos equivocamos de objetivo.

La automatización es un proceso inevitable hasta cierto punto, y además favorecerlo, si se toman las políticas oportunas, podría ser el camino soñado de un mundo en el cual no será necesario que el ser humano trabaje a cambio de dinero (o que lo haga en tareas mucho más especializadas en jornadas de pocas horas a la semana).

Fuente: En solo 5 años, el 6% de los empleos serán destruidos por la Inteligencia Artificial

Prediction API – Pattern Matching in the Cloud  |  Google Cloud Platform

Machine Learning and Pattern Matching

Google Prediction API provides pattern-matching and machine learning capabilities. After it learns from your training data, Prediction API can predict a numeric value or choose a category that describes a new piece of data. With these capabilities, you can create applications to perform tasks such as predicting what movies or products a user might like, categorizing emails as spam or non-spam, assessing whether posted comments have positive or negative sentiment, or gue

Fuente: Prediction API – Pattern Matching in the Cloud  |  Google Cloud Platform

Cloud Computing, servicios de alojamiento y APIs de Google Cloud  |  Google Cloud Platform

Diseña el futuro Desarrolla mejor software, más rápido

✓ Utiliza la infraestructura base, el análisis de datos y el sistema de aprendizaje automático de Google.

✓ Es seguro y cuenta con todas las funciones que necesita cualquier empresa.

✓ Comprometido con el software libre y con un precio y un rendimiento sin precedentes.

Fuente: Cloud Computing, servicios de alojamiento y APIs de Google Cloud  |  Google Cloud Platform

AI chatbot apps to infiltrate businesses sooner than you think

AI chatbot apps to infiltrate businesses sooner than you think.

Artificial intelligence chatbots aren’t the norm yet, but within the next five years, there’s a good chance the sales person emailing you won’t be a person at all.

Fuente: AI chatbot apps to infiltrate businesses sooner than you think