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Google has released their own chatbot smart assistant – Google Home.
Companies like Google, Amazon and Apple are not only investing in AI technology, they are developing AI to collect and analyze big data.
NLP is not only able to direct calls to the right department, the technology has become so advanced that it is now able to direct calls to a specific call center agent depending on a caller's tone and vocabulary.
This transformation of customer experience allows businesses to drastically improve customer service.
RASA NLU is an open-source tool for intent classification and entity extraction.
We can think of it as a set of high level APIs for building our own language parser using existing NLP and ML libraries.
Let users access it in the way most comfortable to them: via voice, chat, or SMS. Building conversational interfaces has never been easier. AI has an intuitive interface; and it has some powerful features for the development of a complex question/ answer system.
Complete solution, Knowledge Included, Machine Learning , Conversational Support, Integrations, Easy to get started, Cross Platform and multi lingual support, high performance are the features of API. You can learn bot development using API AI by following this tutorial.
Language Understanding Intelligence Service is part of Microsoft Cognitive Services.
We can create models for our application to better understand intents or entities. We can activate our language understanding models from our application on any device.
All leading tech companies are getting into the intelligent voice assistant space.
Google's Home, Apple's Siri and Amazon's Alexa have become hugely successful and ever more popular.
This will help banking executives reading understand whether or not chatbots can be a strategic investment for their company – today or in the future.