Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure. With Amazon Lex, you pay only for what you use. There are no upfront commitments or minimum fees.
Msg.ai is an artificial intelligence platform used in conversational commerce. Msg.ai enables messaging to be a medium for individual consumer engagement. This is achieved through msg.ai leveraging chatbots to provide VIP support, personal support and great experiences on demand for your customers. Msg.ai is powered by machine learning. This enables automated interaction in real time by our engine. Msg.ai through the machine learning triggers great experiences, contextual cards and nurtures relationship throughout the customer lifecycle. Msg.ai platform will elevate sensitive conversations to human agents therefore ensuring that the customer is not compromised. Our intent and tone classification feature is able…
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