IBM Watson Conversation is a developer friendly platform that quickly builds and deploys chatbots and virtual agents across a variety of channels, including messaging platforms, mobile devices and even robots. IBM Watson Conversation is easy to begin with and easy to use. Users also get to enjoy the fast speeds of integrating across networks, channels and environments. IBM Watson Conversation Is also robust and secure. IBM protects your own data and privacy enabling users to opt out of data sharing. The enterprise grade feature provides users with a reliable infrastructure that scales with individual use cases. IBM Watson Conversation enables…


But even though most chatbots can handle moderately sophisticated conversations, like welcome conversations and product discovery interactions, the if/then logic that powers their conversational capabilities can be limiting. For instance, if a customer asks a unique yet pressing question that you didn’t account for when designing your chatbot’s logic, there’s no way it can answer their question, which hangs your customer out to dry and ultimately leaves them dissatisfied with your customer service.
ItsAlive provides tools that enable users to easily create Facebook chatbot in minutes without any previous coding experience and allows users to engage with their Facebook community with automated content. ItsAlive features the keyword detection. The keyword detection detects group of keywords that your users type and respond accordingly. The RSS feeds provided by ItsAlive automatically sends out a user’s updates. The user only needs to copy and paste their RSS feeds to create content. ItsAlive also features the variables feature that enables users deliver personalized content that is based on multiple quick answers. The user’s chatbot memorizes the multiple…
ManyChat helps you create Facebook Messenger bot easily for marketing, sales, and support. Their visual drag and drop bot builder helps you set up Facebook Messenger bot in a very short time. It provides you a set of tools to help you grow your Messenger audience. And it helps you broadcast your message effectively with Messenger. You can also automate your Messenger marketing.
Cons: Initial onboarding is wonky and can use UX upgrades. It was difficult understanding how to get started until I watched several videos. I also had issues using this platform on Firefox to connect Facebook messenger. Currently, the workaround is to use Chrome to connect messenger and then you can continue working on Firefox. I don't like having to use a different browser to obtain functionality. The team promised this was a bug that will be ivnestigated
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…

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.
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.
Context and coherence: Some bots (or you ideal chatbot) can flow with long conversations and provide appropriate responses without losing the understanding of the subject being discussed. They may even help solve problems that are identified after lengthy discussions, or forward them to a human counterpart when they do not have enough knowledge to deal with them.
Running on Pandorabots, one of the most powerful conversational artificial intelligence chatbot platforms, Mitsuku won the award for the most human-like AI in 2013 and again in 2017. She was created from AIML, a bot language technology by Steve Worswick, who found the inspiration for Mitsuku after being asked to write her character for an internet games site.
DigitalGenius is an intersection of artificial intelligence and customer service. DigitalGenius combines machine intelligence and human understanding so as to deliver great customer satisfaction. This is demonstrated by Human + AITM. Through the combination of human and AI, DigitalGenius enables human agents use the minimal time while serving their customers and therefore creating great experience for their customers across any channel. The combination of AI with human will enable DigitalGenius to automatically respond to repetitive questions. DigitalGenius also suggests the right answers to be given to your customers. This eliminates searching of answers from knowledge articles and also eliminates copy…
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.
Typically, customer service chatbots answer questions based on key words. The most basic systems are actually document retrieval systems. Sometimes this is frustrating. Think of the times you may have asked Siri or Alexa a question and received the wrong answer. The computer recognizes key words but may not recognize the context in which they are being used. In other words, the computer doesn’t recognize the way people naturally speak. This causes the customer great frustration. However, these systems (including Siri and Alexa) have come a long way and continue to improve.
AI powers for customer service agents to provide faster, smarter responses. ultimate.ai's deep learning artificial intelligence technology works in partnership with agents, learning from historical chat data to provide reply suggestions in real time. ultimate.ai learns from agent behaviours and grows in accuracy. Ultimately, the most common questions in customer service are fully automated, freeing agents to focus on what really matters: the customer. 

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