Given the recent headlines about misuse of user information, I decided to go with my Android device and was prompted to download the app. Still, my initial foray into chatbots brought up the central issue of confidentiality. Can I trust Woebot with my most intimate and personal information the way I would a human? I read the privacy policy and decided to keep things light.
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.
Woebot also offers quizzes and videos, which are there to help you discover your thoughts that come automatically and contribute to your struggles. The exchange with the app takes 10 minutes, though you can stop chatting any time you wish before that. The advantage is that it feels like you’re speaking with a real therapist during your conversations with this digital robot.
Imperson develops enterprise chatbots that support text, audio, video, AR, and VR on all major messaging platforms. Their conversational bots provide authentic and engaging customer chat experiences. The conversation navigator uses relationship memory, NLP user intents, and deep dialogue context to lead conversations. And the AI moderator helps achieve customer’s goals. Imperson provides an end-to-end bot solution.
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.

Pros: Botengine eases the stress on our helpdesk team. Enabling our helpdesk staffs to focus on complex complaints from our customers ,while simple complaints like the address of our company ,email contact etc are taken care off by Botengine. Thereby eliminating the need to hire extra hands on the helpdesk team and saving us time and financial resource in the process.

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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…
Adam Devine is the CMO of WorkFusion, architects of AI-powered products that automate customer service functions as well as other business processes. According to Devine, “Adding natural language processes and machine learning changes everything, giving virtual customer assistants (VCAs) the ability to determine not just what rules-based action to take based on a word, but to understand the meaning of words in different combinations, ask questions to create context and intent, and actually do something for the customer.”

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If you plan on using ChatBot, it'll take a while to get it near perfection. I would recommend creating a list of events or potential encounters and map it out on your website to try to predict how to fix it. Plan this out on paper and use each scenario, it'll take hours but it'll build value and make it seem like the client is talking to a real person. After that, use the chat logs where a client runs into an issue with the chat to learn what can happen and fix that scenario.
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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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.
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.
In the recent years, the growth in popularity of chatbots has been the result of the amount of research poured into its underlying technology. These AI-powered bots are now being integrated in various industries such as payments, banking, customer service, and even pure personal amusement. The birth of chatbots developed from the curiosity of whether a robot can really fool any human into believing that it is human as well.
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.

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.

Microsoft Bot Framework is an Open source Bot Builder SDKs that allow you to build simple to sophisticated dialogs; Cognitive Services enable your bot to see, hear, interpret and interact in more human ways.A bot is an app that users interact with in a conversational way. It can communicate conversationally with text, cards, or speech. The Microsoft Bot Framework is a platform for building, connecting, testing, and deploying powerful and intelligent bots. It helps you build and connect intelligent bots to interact with your users naturally wherever they are. They offer a conversational interface as a solution to your user’s…


Chatfuel is an artificial intelligence bot platform. Chatfuel understands and answers user requests in the right way increasing customer experience. Chatfuel main focus is making it easy for everyone to use chatbots on Facebook messenger. Our chatbots are made to strengthen the connection between you and your audience. Your audience can be readers, customers or fans. Chatfuel chatbots require no programming therefore enabling users add or edit content on the platform. Chatfuel starts to work when a user sets up conversational rules in their dashboards. The user’s bot then recognizes similar phrases from the user’s conversation then the bot understand…
Pros: First, a shout-out to the developers and especially the founder for taking lead in such an awesome product with great support. I've been with them solely for creating funnels on facebook messenger bot but ActiveChat wow me with more channels like telegram and the ability to integrate NLP easily! Drag-drop interface for creating skills/sequences with functions/fields is also improving. Impressed!
Aivo powers your customer support with the help of AI bots. It helps you respond in real time with text or voice. You can optimize your resources and increase conversions. Aivo’s Agentbot understands the rules of each channel, and adapts automatically to respond. You can give your customers a personalized experience. It can integrate easily with third party integrations like Salesforce, Zendesk, WhatsApp, etc.

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