Ingesting signals from chat/voice assistants in AAMNew
With the increased usage and adoption of chat and voice assistants (e.g. Amazon Alexa, Google Home, Microsoft Cortana, Apple Siri) by consumers, it has become imperative for marketers to catch consumer intent and insights from these new age channels and use it for personalized and relevant targeting. For example, a consumer can interact with Alexa by stating in simple English or any other regional language "I am looking for buying a high end camera. Can you suggest some good options?"If we try to break this statement into intent and entities (basis of natural language processing) structure, we would know that this consumer's intent is to 'explore' or 'buy' and the entity here is a 'high end camera' or simply put 'SLR'. In similar way, the consumer might express something like this - "I am looking for buying a high end camera with Carl Zeiss Lens and price range somewhere between $300-$350. Can you suggest some good options?"Here there are more entities that need to be captured in
