Semantic Machines solve conversational artificial intelligence. The conversational artificial intelligence interfaces by Semantic Machines will soon enable a natural communication between people and computers. Semantic Machines vision is paving way for conversational computing through development of fundamental artificial intelligence technology. Semantic Machines is currently developing language independent technology platform. The platform will enable computers collaborate, communicate, accomplish tasks and understand goals. Semantic Machines are developing the conversation engine. The conversation engine will extract semantic intent such as text or voice from a natural input. The engine then will spawn a self updating framework that will manage the content and end…
AceBot is a software that assist in operations of entreprises through chats. AceBot uses conversational User Interface to enable collaboration and collation of data within organizations. Its key features include ability to manage multiple business flows. It is capable of handling a wide range of multiple and simple queries while you can maintain and switch context in just one conversation. AceBot helps in lowering workload by ensuring collaboration between team members so that they can handle Frequently asked questions in a better way and also tackle complex problems. AceBot has the ability to integrate with applications such as Skype, Messenger,…

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.
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…
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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1. The chatbot never sleeps: Customer service is all about convenience, which includes 24/7 customer support. A cost-efficient, yet powerful way to provide basic support is through the never-sleeping chatbot. Devine shared an excellent example of this. In the banking industry, Workfusion’s chatbots are trained by using historical conversations and can perform some of the same tasks as a live support center rep such as correcting an invoice, answering basic questions about account balances and more. Customers receive the same level of service they would get from the support rep. The chatbot can recognize human emotions such as anger, confusion, fear and joy. And, as mentioned above, if the chatbot detects that the customer is angry, upset or frustrated, it will seamlessly transfer the interaction to a human to take over and finish assisting the customer.
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…
I like that Botengine platform is easy to use,thereby making it easy to create our chat bot in a matter of minutes,and with as much minimal support as possible from the software development team. Botengine is so simple to use,that it was created and deployed by myself and team members at the marketing team,despite not coming from a technical background.

By collecting over 20 years of messaging transcript data and feeding it to their AI-powered chatbot, LivePerson can automate almost every industry’s messaging and integrate with most messaging channels like your website, mobile app, Apple Business Chat, text messaging, Google Rich Business messaging, Line, Facebook Messenger, WhatsApp, and Google AdLingo.

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LivePerson’s BotStudio also lets you build chatbots from scratch, without any coding knowledge, and its analytics dashboard can track metrics like real-time sentiment, bot containment rate, bot conversation time, total conversation time, average order value, and bot contained sales, allowing you to grasp the impact your chatbot has had on your business’ bottom line.

These are just the basic versions of intelligent chatbots. There are many more intelligent chatbots out there which provide a much more smarter approach to responding to queries. Since the process of making a intelligent chatbot is not a big task, most of us can achieve it with the most basic technical knowledge. Many of which will be very extremely helpful in the service industry and also help provide a better customer experience.


Semantic Machines solve conversational artificial intelligence. The conversational artificial intelligence interfaces by Semantic Machines will soon enable a natural communication between people and computers. Semantic Machines vision is paving way for conversational computing through development of fundamental artificial intelligence technology. Semantic Machines is currently developing language independent technology platform. The platform will enable computers collaborate, communicate, accomplish tasks and understand goals. Semantic Machines are developing the conversation engine. The conversation engine will extract semantic intent such as text or voice from a natural input. The engine then will spawn a self updating framework that will manage the content and end…

Chatbots utilize natural language processing (NLP) and speech recognition to understand written and spoken requests; businesses can leverage this technology to automate tasks that formerly required human intervention. Based on a request from a user, the chatbot provides the user with an output, which is a response to the request in text or speech form. With the use of machine learning and deep learning, chatbots can grow intelligently and understand a wider vocabulary and colloquial language, as well as provide more precise and correct responses to requests.

Pypestream is a secure messaging platform that offers customer engagement solutions that connects customers to their businesses through the power of smart messaging. Pypestream is a compliant and secure platform that combines chatbots with pragmatic AI therefore enabling transactions over messaging. Pypestream uses fully fledged technology that provides businesses with scalable and secure messaging solutions. Pypestream objective is transforming enterprises to on demand powerhouses by providing powerful and smart messaging solutions. Pypestream two way smart messaging platform uses patented framework of streams and Pypes. The patented framework separates communication into topic specific channels. This will enable enterprises or companies broadcast…

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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.
Pros: I like the quickness with which I am able to create a chatbot on Botengine. I also think that Botengine is well priced and affordable for small teams like ours. Most important ,is the fact that the chatbot we created on Botengine ,has been reliable and met our expectation by reducing the amount of customer query our customer care department agents have to respond to each day.
Are the travel bots or the weather bots that have buttons that you click and give you some query, artificially intelligent? Definitely, but they are just not far along the conversation axis. It can be a wonderfully designed conversational interface that is smooth and easy to use. It could be natural language processing and understanding where it is able to understand sentences that you structure in the wrong way. Now, it is easier than ever to make a bot from scratch. Also chatbot development platforms like WotNot, Chatfuel, Gupshup make it fairly simple to build a chatbot without a technical background. Hence, making the reach for chatbot easy and transparent to anyone who would like to have one for their business. For more understanding on intelligent chatbots, read our blog.

Developed by Zendesk, a customer service platform that started in Copenhagen, Answer Bot is designed to help companies create customer relationships that are more personal and productive. Businesses can customize Answer Bot to answer and assist customers that visit their website without having to develop a customer service bot from scratch. When Answer Bot is unable to answer a customer's request, customers are redirected to one of the businesses' support agents.

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.


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…

Pypestream is a secure messaging platform that offers customer engagement solutions that connects customers to their businesses through the power of smart messaging. Pypestream is a compliant and secure platform that combines chatbots with pragmatic AI therefore enabling transactions over messaging. Pypestream uses fully fledged technology that provides businesses with scalable and secure messaging solutions. Pypestream objective is transforming enterprises to on demand powerhouses by providing powerful and smart messaging solutions. Pypestream two way smart messaging platform uses patented framework of streams and Pypes. The patented framework separates communication into topic specific channels. This will enable enterprises or companies broadcast…
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.
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…

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