Rasa NLU & Core allows for more human-like dialogue, trained using interactive, and supervised machine learning. Rasa Core picks up patterns from real conversations and also takes the history and external context of a conversation into account. The Rasa NLU engine is an open source tool for intent classification and entity extraction, and offers natural language understanding for bots and assistants. It features the capability to turn natural language into structured data. It is modeled as a set of high level APIs for building your own language parser using existing NLP and ML libraries. Many developers world-wide are using it…
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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Rulai also integrates with most messaging channels, customer service software, enterprise business software, and cloud storage platforms. You can either build a Ruali chatbot from scratch with its drag-and-drop design console and let its AI adapt to your customers or you can implement a pre-trained chatbot that has been fed data from your specific industry.

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This form of obtaining information from the collective intelligence of a large number of people allows Cleverbot to respond in new conversations by taking into account the context of the conversation typed by a user and searching its database for an appropriate response. It scans its history for every user-submitted response to the given question and replies accordingly, which creates a more human-like conversation with users.
Alfred AI aims to transform humans into super-humans by strengthening their abilities. It's able to process text and audio specialized in CX in three languages. Spanish, Portuguese and English in which slang and other natural ways of language can be used. By implementing an innovative Machine Learning it understands and answers in a very friendly manner. Alfred AI is not just a bot is also a virtual agent able to respond chats, mails, tweets. FB, Instagram, WhatsApp and a phone call. It integrates with CRMs (Oracle Rightnow, Salesforce, Avaya) and other virtual agents such as Alexa or Siri but not limited to. One of the main difference with competitors is the fact that it only charges whenever a correct answer confirmed by the user is given. If a user states that the answer was not useful or it never answers then it won be charged. Alfred AI is different, is a CX specialist with empathy as main characteristic together with a high level of understanding.
Studies and reports show that customers want quick, frictionless solutions to their problems and answers to their questions. No doubt there are acceptance issues for AI and chatbots. Some customers have always used traditional phone support and have a hard time accepting anything else. But, there is a growing contingent of customers who are increasingly open to new technology, especially if it can enhance their CX. As the technology improves and acceptance grows, chatbots, powered by AI, will have a strong role in customer service and support.
Whisbi provides a mobile-first conversational sales & marketing platform for B2C enterprises. Our solution creates an opportunity for Sales & Marketing professionals to increase sales conversion, improve live engagement and provide a differentiating online customer experience. Whisbi combines all contact channels like video-call, chat, chatbot, click-to-call or a traditional phone call into one centralized data-driven UI for your customers. Enhanced by a BI engine, Whisbi provides the right channel for the right customer at the right time. The Whisbi solution easily integrates with existing infrastructures, ranging from call centers to physical stores and virtual showrooms. A simple inclusion of the solution on websites provides the ability to drive a truly omnichannel customer experience that significantly increases online conversion rates. We offer a world-class conversational platform for sales & marketing and are able to share industry-specific insights & expertise. We have unparalleled experience working closely with global enterprises in telecommunications, automotive, travel, and insurance & banking. Our solutions have managed over: 700M impressions, 47M clicks, 18M call requests, 10M conversations To date, we have delivered over 1.5M sales to our clients globally. And we’re just getting started! Whisbi puts human interactions at the center of the online customer experience and increases the ROI of digital marketing campaigns. It allows brands to better capitalize on their website traffic, increase their NPS score, differentiate through CX and sell more online. We integrate with the best marketing & sales solutions including Salesforce, Google Adwords, Google Analytics & Adobe Marketing Cloud, helping to deliver more powerful insights into the full customer journey. In essence, Whisbi enables modern marketing and sales teams to deliver multichannel experiences that support & complement existing digital commerce systems.
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.
Created in 1966 as an early natural language processing (NLP) computer program that emulates a Rogerian psychotherapist, a clinical practice that allows clients to take more action and progression in discussions. This is also known as person-centered therapy. Developed by Joseph Weizenbaum, ELIZA, named after a character in the play Pygmalion by George Bernard Shaw, is generally known as the first chatbot.
Customer support tools, such as live chat, help desk, or contact center solutions, may already have chatbots implemented as a first line of defense when dealing with customers. However, they are becoming more widely used in other applications, such as sales and marketing knowledge bases. Users may even use them instead of a query language to find certain data points in business intelligence tools; by simply typing or speaking a request to a business intelligence platform, a chatbot can provide the proper data. Chatbot capabilities are constantly expanding and becoming more frequently implemented in other types of software.
I always love to see what types of people I’m paired with in a situation like this. I was initially given all women in their 40s and decided to ask for “more options,” just to see what that looked like. I was then given a wider array of ages, as well as one man. After making my choice (I chose the man), I received my first voice text within a couple of days.

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Chatterbot Platform or Chatbot Software are computer program which are designed to simulate an intelligent conversation with one or more human users via auditory or textual methods, for engaging in conversation. Chatterbot are text based conversation agent which can interact with human users through some medium, such as an instant message service. The primary aim of such simulation has been to fool the user into thinking that the program's output has been produced by a human. Programs doing this are referred to as Artificial Conversational Entities, talk bots, chatterboxes, chatter robot, chatterbot, chatbot, or chat bot. Some of the chatterbots use natural language processing systems, and some others scan for keywords within the input and respond with a reply with the most matching keywords, or similar wording pattern, from a textual database. Chatterbots are often integrated into dialog systems for various practical applications such as offline help, personalised service, or information acquisition.

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