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 “We had such an outdated workplace.”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

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


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

A microservices architecture is for everyone, including you

A microservices architecture is for everyone, including you

Chop up a poorly designed legacy monolithic application into pieces and what have you got? An accumulation of microservices that is unlikely to yield better results.

Fuente: A microservices architecture is for everyone, including you

How to Select App Development Frameworks: Native vs. Web vs. Hybrid

When selecting frameworks with which to build apps, the biggest consideration is what kind of apps organizations plan to deliver: native, Web, or hybrid.

As companies start to build their own mobile apps, they’ll have to choose app development frameworks.

It’s an important first step to take an existing process and make it accessible from a mobile device. But apps become transformative when they take advantage of the rich features a mobile device can provide, such as location-based services, push notifications and seamless data sharing. When selecting frameworks with which to build these apps, the biggest consideration is what kind of apps organizations plan to deliver: native, Web, or hybrid.

Native App Development

Building a native application always results in the best user experience. Mobile operating system makers invest heavily in their own development tools. They want to make sure that the apps developers write in their native languages can take advantage of all the latest OS features and perform at their best.

Companies that have no prior experience with mobile development may be hesitant to have their developers learn separate languages to write apps for both Apple iOS and Google Android, however, because of the extra effort required to support multiple OSes. In situations where a company is standardized on one OS or requires tight hardware integration — such as with embedded devices, kiosks, point of sale and other special company-issued devices — it may be more important to develop native applications.

Browser-based Web Apps

At the other end of the spectrum are Web apps that users access in mobile browsers. Developers can write these with more familiar Web technologies, such as HTML5, CSS, and JavaScript. One version of a Web app can run on multiple mobile OSes. In addition, advances in HTML5 mean Web apps can now do many of the things that native mobile apps can, such as take advantage of cameras and geolocation and launch other apps on the device from within the Web app.

They’re attractive, but browser-based apps have many drawbacks. It’s only possible to send users push notifications with a few specific browsers, and app logins and sessions can expire quickly. Plus, Web apps can’t take advantage of all the latest OS features — some of the most unique and important traits that make mobile apps so valuable.

For all these reasons, mobile browser-based Web apps have limited use cases in the enterprise.Another problem: Web apps are just less convenient than native apps. Users have to remember how to navigate them, dig into bookmark menus to find them or know how to place Web bookmarks on their home screens. IT administrators can push these bookmarks to devices with mobile device management, but they still require different management processes than other apps.

Hybrid Apps

Hybrid apps are Web apps that run inside of a native app shell. Conceptually, this approach brings the best of both worlds. Developers can write the core logic of the app in a Web-based language that’s portable across multiple mobile platforms, and the shell can use native code to interact with the device’s unique features. As a result, IT can manage and deploy a hybrid app just like any other native app.

Hybrid apps can be as simple as a Web page embedded inside a native app, or they can be much more complex. Many app development frameworks can take apps developers write in Web-based or other languages and compile them into complete native apps for different mobile OS’s. Some app development frameworks provide only the user interface for hybrid apps, using native code and all the OS-appropriate design elements.

The hybrid app concept is popular but can have drawbacks as well. Using one codebase for multiple OSes means that developers have to make some compromises. For example, iOS doesn’t have full near-field communications support, and Android and iOS apps have different navigation conventions.

In some cases, with all the extra effort needed to make the “write once, deploy anywhere” concept actually work on multiple platforms, it can be easier to just invest in native app development after all.

Other Considerations

Enterprise mobile apps also need to connect to infrastructure components for push notifications, management and security, analytics, data syncing and connections to enterprise databases and feeds.

Some people say hybrid and Web apps are good enough for enterprise apps. Others say user experience is more important these days, and apps should take advantage of the native features a mobile OS offers. But different apps and situations call for different development approaches and considerations.




Fuente: How to Select App Development Frameworks: Native vs. Web vs. Hybrid – DZone Mobile