All posts by wsheaupei

Examples of cognitive apps

https://developer.ibm.com/tv/voice-interconnect-demo-app

An app that integrates with cognitive services such as Watson Speech to Text and Watson Natural Language Understanding for sentiment analysis, and learn about the UX design so users can visualize the app’s progress over time.

The app uses Hoodie for its back end; it converts audio from the user into text and shoots the text off to be analyzed for sentiment. 

The progressive web app not only records and analyzes sentiments, but it can visualize the sentiment changes in the recordings over time.

 

Why is it an offline app? Voice of InterConnect continues to work even if connectivity is lost and demonstrates how an app can work offline and still easily integrate with Watson services. The Hoodie part of the app is built atop Apache CouchDB™, which provides an underlying synchronization layer, and as typical advice for developers,

You don’t want to build your synchronization protocols from scratch.

In the video, you’ll also see examples of how the app works,

More information on Voice of InterConnect and offline development

Structure of the app

The structure of the Voice of InterConnect app.

WeChat ePayment

WeChat, once a simple chat program, has transformed into a lifestyle, the “one app to rule them all,” enabling its 938 million users to do everything from hail a taxi to split a restaurant bill (just use the “Go Dutch” button). You can even download apps within the app — thereby bypassing the App Store entirely. As WeChat starts to resemble an operating system in its own right, it may well challenge iOS and erode the value of Apple’s premium hardware.

WeChat has come up with a lot of creative ways to capture and hold users in China’s hyper-competitive app market. But perhaps the most important is WeChat Pay, its built-in banking function. In addition to enabling in-app shopping (say, within a chat), it offers a simple way to move money to other users. Last year, $1.2 trillion in mobile payments were made through WeChat, with each user averaging about $85 a month in peer-to-peer transfers. Since 2015, that feature has allowed users to “tip” any of the independent content creators — from authors to musicians to live-streaming comedians — publishing their work on the service.