Chatbots, which are often called virtual agents or virtual assistants, are used in place of a human to conduct specific tasks or provide information based on written or spoken requests. This functionality includes both external, customer-facing requests and internal, employee-facing requests. Chatbots allow users to interact with an application in a conversational manner, whether textually or audibly, to perform certain functions.
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.
Pros: Botengine was easy to integrate with our existing Livechat helpdesk program . I am impressed with the ease at which Botengine is able to respond to the most popular of simple questions we get from our customers like; the address of the company , what we do , our subscription rates etc While these questions may appear to be straight forward , they are the most asked question which our customers throw at us . With the coming of Botengine ,we no longer need to bother ourselves with these sort of questions ; Botengine responds to them ,while we await the tough ,complex queries.
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Pros: Building a bot is really simple with their pre-made templates and a drag and drop flow diagram. We have been using Activechat to automate skills aka flows for different visitors (leads and vendors) and touchpoints through different growth tools (referral path to trigger skills). Broadcasting to 'tagged' subscribers is also straightforward. A real game changer.0
Overall: We are now able to leave our Chat on 24/7, when previously we had limited hours (due to staffing) for the Chat. It is still very much a work in progress to ensure the ChatBot has routed to the correct conversations and can sometimes be frustrating to try and figure out why the ChatBot went to a certain scenario over another. The help topics the company provides can point you in the right direction but they are written at a level above the capabilities of a brand new user to bots in my opinion. Determining whether or not no conversation with a client vs a below average conversation with a client (at times) is worth it, will determine whether we continue to renew our monthly subscription.
Its Alive helps you make chatbots for tour Facebook page. It enables you to engage with your Facebook community 24×7 with automated content to improve your response time significantly. Chatbots can be used to drive conversations. It can handle frequently asked questions directly through the chatbots by detecting keywords in Facebook Messenger. And it helps you broadcast your messages.