There is a lot of potential for using chatbots for marketing. For example, it is possible to use Facebook advertising to send users directly to a Messenger chatbot. Users interacting with the chatbot consent to be contacted by the bot at a later point in time. This means that the cost-per-acquisition of Messenger contacts can be much lower than traditional email marketing.
Created by a developer by the username of Amena-chaan on DeviantArt, Levi is an anime avatar known for his cool, indifferent nature. His popularity even inspired an interactive game created by another developer. Utilizing the same underlying technology as most chatbots, Levi's conversations are archived and accessible for him to use when speaking with new users.
MS: I found that Joyable had a user-friendly interface and felt the Joyable app would be good for those who have mild depression and anxiety. The coach and the program do help you stay on track with self-improvement. You need to work with the coach after completing each module if you hope to get the most out of the program. That said, if you are dealing with moderate to severe depression and anxiety, this app will not be helpful.
Hmmm…interesting list. I however was thinking that you may want to include Engati as well. Engati is a chatbot platform that allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes. It presently supports eight major messaging platforms including messenger, kik, telegram, line, viber, skype, slack and webchat with a focus on customer engagement, conversational commerce, and customer service and fulfillments.
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.
Fortunately, the next advancement in chatbot technology that can solve this problem is gaining steam — AI-powered chatbots. By leveraging machine learning and natural language processing, AI-powered chatbots can understand the intent behind your customers’ requests, account for each customer’s entire conversation history when it interacts with them, and respond to their questions in a natural, human way.
Chatterbot is a machine learning and conversational dialog engine. Chatterbot enables easy generation of automated responses to the use’s input. In order to generate different types of responses, Chatterbot employs use of machine learning algorithms therefore enabling developers automate conversations and create chat bots for users in an easy way. Chatterbot is language independent. The language independent design, enables Chatterbox speak any natural language. Due to Chatterbot’s machine language nature a human agent or developer is also able to improve its knowledge level. This improves Chatterbot’s level of relaying possible responses when it interacts with other sources of informative data…
Fortunately, the next advancement in chatbot technology that can solve this problem is gaining steam -- AI-powered chatbots. By leveraging machine learning and natural language processing, AI-powered chatbots can understand the intent behind your customers’ requests, account for each customer’s entire conversation history when it interacts with them, and respond to their questions in a natural, human way.
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