Mobile devices continue to explode in utility and popularity. You always have them with you, they provide the most personal computing context, they are always connected and they remind you of what you have scheduled to do next. Traditionally, mobile applications are transaction based by nature: you capture data, you retrieve data and you read and process that information. Then you can act upon the information being provided by the device in your pocket.
All major mobile platforms have voice-driven interactions at the operating system level. However, these voice-driven interactions aren’t always available for developers to take advantage of at the application or application programming interface (API) layer.
For example , Using Watson Developer Cloud services, a developer can add voice-driven interactions to any application. These interactions transcribe the spoken audio file into text that can be acted upon. This text can be parsed alone and used for dictating data entry and analyzing the text for keywords that invoke actions. It can even be paired with the natural language Question and Answer service to query complex corpora of information.
Mobile devices continue to explode in utility and popularity. You always have them with you, they provide the most personal computing context, they are always connected and they remind you of what you have scheduled to do next. Traditionally, mobile applications are transaction based by nature: you capture data, you retrieve data and you read and process that information. Then you can act upon the information being provided by the device in your pocket.All major mobile platforms have voice-driven interactions at the operating system level. However, these voice-driven interactions aren’t always available for developers to take advantage of at the application or application programming interface (API) layer.For example , Using Watson Developer Cloud services, a developer can add voice-driven interactions to any application. These interactions transcribe the spoken audio file into text that can be acted upon. This text can be parsed alone and used for dictating data entry and analyzing the text for keywords that invoke actions. It can even be paired with the natural language Question and Answer service to query complex corpora of information.
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