SUPER FACIL! Alexa Voice Services

What is AVS?

AVS is Amazon’s intelligent cloud service that allows you as a developer to voice-enable any connected product with a microphone and speaker. Users can simply talk to their Alexa-enabled products to play music, answer questions, get news and local information, control smart home products and more.

Join the community of developers who are revolutionizing how consumers interface with technology through the power of voice, with the Alexa Voice Service Developer Preview.

AVS is coming to the UK and Germany in early 2017. Sign up to be notified when the service is available.

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Fuente: Alexa Voice Services

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 “We had such an outdated workplace.”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.


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



Otros de Interés

Artificial intelligence coming to an app near you

Artificial intelligence is expected to be pervasive in all new products by 2020, with technologies including natural language capabilities, deep neural networks and conversational capabilities integrated into business apps. Continue Reading


AI a priority in CRM systems

As industry leaders such as Salesforce quickly scoop up artificial intelligence companies, there’s a move toward creating cloud-based CRM systems that act as digital assistants, rather than data input tools.Continue Reading


The quest for deep machine learning Nirvana

CTO and co-founder of startup Loop AI Labs works to further the cause of unsupervised machine intelligence — also known as deep machine learning — for applications. Here’s why that’s an important goal. Continue Reading


Cognitive computing, machine learning augment marketing

Data-driven marketing strategies enable automation of time-consuming processes while giving companies a way to personalize their ads to customers. But there’s a careful privacy line that may be easily crossed.Continue Reading


Artificial intelligence pie in the sky tech to reside in the cloud

The AI-as-a-service application feeding frenzy is well under way as companies look to artificial intelligence apps to gain a competitive edge.Continue Reading


Deep learning tools make hay of unstructured data

Deep learning tools are helping companies make use of unstructured data from sources such as social networks and customer service notes.Continue Reading


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

Talla uses NLP software and machine learning to manage to-do lists

Talla uses NLP software and machine learning to manage to-do lists.

Talla the Task Assistant can be installed for free on Slack and uses machine learning and natural language processing to help employees schedule tasks.

Fuente: Talla uses NLP software and machine learning to manage to-do lists