12th March , 2018
Intelligent applications like VPAs’ execute some of the functions of a human assistant making daily tasks easier (by minding e-mails for an instance) and making its users much more effective (by highlighting the most important content and interactions).
Other intelligent applications like virtual client assistants VCAs’ are more specialized for tasks in most places such as sales and client support. As such, these intelligent applications have the capability to transform the character of work and structure of the workplace.
To make such applications, organizations will have to embrace key application technology and architecture capacities comprising:
Data that supports:
Information as a Service that supports:
Analytics as a Support (for instance Business Analytics) that supports:
Intelligent Applications (in terms of App Development) that supports:
Being honest, it only makes logical sense to integrate analytics with application development to make intelligent applications that not only deliver a more compelling user experience but additionally learn from the consumer participation to become more relevant and important to those users. I mean to collect all this transactional, social, portable, wearable and IoT data aren’t going to do anything unless it is put into specific result-oriented use. And the most logical method to drive action from the data and analytics is via intelligent applications.
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