Interesante. La era Post-App Móvil. Mobility is about to enter the post-app era, says Gartner

At an event in South Africa, Gartner analysts look ahead to an era of mobility that goes beyond apps

As the convergence of devices, bots, things and people accelerates, businesses will need to learn how to excel at mainstream mobility, as well as prepare for a post-app era, according to analysts at Gartner.

Speaking at a symposium in South Africa, Gartner vice-president and distinguished analyst David Willis laid out his version of a possible future for the mobile world.

Willis said although users would continue to use mobile apps, the overall importance of apps in terms of delivering services would begin to diminish in the next few years, and bots and virtual personal assistants (VPAs) will begin to replace some app functionality.

“The post-app era means that there will be more data and code in the cloud and less on the device, thanks to the continuous improvement of cellular network performance,” said Willis.

“The post-app era will be an evolving process through 2020 and beyond. It has already begun and organisations should prepare for it by being agile and tactical, planning for new skills, assessing the opportunities created by the post-app era, and developing a digital business strategy that integrates different technologies.”

A driving force behind the move to models of mobility that are less reliant on apps will be the anticipated growth of the internet of things (IoT), said Gartner.

Willis predicted with bring your own device (BYOD) and bring your own application (BYOA) becoming the norm for the majority of organisations, a new trend – predictably dubbed bring your own thing (BYOT) – will emerge, and it will help introduce some of these new interaction techniques and platforms that will dilute the need for dedicated apps.

According to Gartner, in the next 18 months a quarter of new mobile apps will be able to talk to IoT devices. For now, said Willis, an app or browser will be the preferred mode of communication between an IoT device and a smartphone, but it will quickly be challenged by a number of trends and emerging technologies.

Fuente: Mobility is about to enter the post-app era, says Gartner

Pitney Bowes: Transforming Digital Commerce with APIs | Apigee


Pitney Bowes: Transforming Digital Commerce with APIsRoger Pilc, Pitney Bowes’ chief innovation officer, discusses how the company is well on its way to digitizing legacy business and building new digital businesses by harnessing existing capabilities and leveraging modern new technologies, including APIs and Apigee’s API management platform.Read Pitney Bowes’ full case study here.

Fuente: Pitney Bowes: Transforming Digital Commerce with APIs | Apigee

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

Love Working Smarter? These Are the 12 Productivity Bots You’re Looking For – Trello Blog

“I hate tools that help me work more efficiently and communicate more clearly,” said no one ever. Enter: Your bot minions.Bots are awesome for productivity. They can automate tasks that you’d normally spend time doing yourself, freeing you up to focus on the things that require your human touch.

Fuente: Love Working Smarter? These Are the 12 Productivity Bots You’re Looking For – Trello Blog

Google isn’t safe from Yahoo’s fate | TechCrunch

Yahoo has been beaten up in the press for so long that it’s hard to remember how untouchable the company once appeared.

A fawning profile in Fortune magazine from 1998outlined Yahoo’s commanding position. “Yahoo won the search engine wars and was poised for greater things,” the article concluded, wisely prefacing the remark by warning, “Let’s leave aside, for now, questions of whether Yahoo will be around in 10 years.” At the time, Yahoo was drawing a then-impressive 40 million users a month. By 2000, the figure would jump to 185 million.

We all know what happened next. Recent press is awash in retrospectives, takeaways and lessons learned — many of which focus on Yahoo’s failure to buy Facebook and Google, or sell to Microsoft. We’d like to think that Yahoo’s failure has made us wiser and more cautious, less likely to repeat the same mistakes. We’d also like to think that having witnessed Yahoo’s demise we would be better able to spot a company that was at peak valuation and about to begin a long-term unraveling, a company that was on the wrong side of major trends.

Would we, though? What if that company is Google, one of today’s untouchables? Yahoowent from a $125 billion valuation in 2000 to Verizon’s $4.83 billion acquisition in just 16 years. Could the same thing happen to Google, ahem, Alphabet, in 2032?


Fuente: Google isn’t safe from Yahoo’s fate | TechCrunch

McKinsey Quarterly 2016 Number 2: Overview and full issue | McKinsey & Company

Digital disruption is hitting every industry at varying speeds and intensity. Executives know this, and they also recognize that time is of the essence for incumbents seeking to transform digital from a threat into an opportunity. That urgency, though, sometimes gives rise to haphazard responses, such as the one described by McKinsey director Angus Dawson in a recent McKinsey Podcast:

I was having a conversation with a client a couple of weeks ago. They went through what they were describing as their digital strategy. Having explored it a bit with them, we ended up coming to an agreement that what they had wasn’t a digital strategy, it was a list of priorities for digitization. Explicitly, it was how are we going to reduce the cycle time in our end-to-end processes, how are we going to improve the customer experience and build new apps, and so forth. It was about how they digitize. It was not actually the choices they were making about a big disruptive economic force . . . The word “strategy” is used too loosely with digital to mean our priorities for digitization, not the choices we’re going to make in terms of where and how we compete. . . .

Fuente: McKinsey Quarterly 2016 Number 2: Overview and full issue | McKinsey & Company