The name of the base system (platform): | Microsoft Bot Framework |
Developers: | Microsoft |
Date of the premiere of the system: | November, 2018 |
Branches: | Information technologies |
Technology: | Development tools of applications |
2018: System exit
In the middle of November, 2018 Microsoft provided a number of updates for the technologies of colloquial artificial intelligence (conversational AI). Among new products — the open source code system allowing to create virtual assistants in read minutes.
VentureBeat calls new development the accelerator of solutions (solutions accelerator) and a template by means of which as observers of the edition note, the companies can develop digital assistants under own brands.
This accelerator uses previously created practical skills to carry out such tasks as search of the companies in the pre-determined location or formation of answers to simple questions. Calendars, data on objects of city infrastructure (shops, gas station, cafe, etc.), accounts and control facilities of accomplishment of tasks are connected to a system. The Microsoft Bot Framework environment is the basis for technology.[1]
Source codes of a system are laid out on the GitHub portal. There the product is designated as Virtual Assistant Solution.[2]
As the corporate vice president for artificial intelligence in the company Lili Cheng explained in the blog of Microsoft, by means of this solution clients can create a virtual assistant "with the name, voice and identity which can be changed according to requirements of the company".
It also noted that Microsoft "processed a large number of tools" to propose to the companies the best solutions and support in area of colloquial artificial intelligence. For this purpose, in particular, Translator API and the translation system of the text in the speech in Azure Cognitive Services were updated.
Besides, the software giant implemented containerization of cognitive services thanks to what became possible to analyze and process information regardless of its arrangement — on "smart" devices, in remote infrastructure or in the local environment — without need to load it into a cloud.