in Internet sense, c.2000, short for robot. Its modern use has curious affinities with earlier uses, e.g. "parasitical worm or maggot" (1520s), of unknown origin; and Australian-New Zealand slang "worthless, troublesome person" (World War I-era). The method of minting new slang by clipping the heads off words does not seem to be old or widespread in English. Examples (za from pizza, zels from pretzels, rents from parents) are American English student or teen slang and seem to date back no further than late 1960s.
Today, consumers are more aware of technology than ever. While some marketers may be worried about overusing automation and chat tools because their tech-savvy audience might notice. Others are embracing the bots and using them to improve the user journey by providing a more personalized experience. Ironically, sometimes bots are the key to adding a human touch to your marketing communications.

Human touch. Chatbots, providing an interface similar to human-to-human interaction, are more intuitive and so less difficult to use than a standard banking mobile application. They doesn't require any additional software installation and are more adaptive as able to be personalized during the exploitation by the means of machine learning. Chatbots are instant and so much faster that phone calls, shown to be considered as tedious in some studies. Then they satisfy both speed and personalization requirement while interacting with a bank.

How can our business leverage technology to better and more often engage younger audiences with our products and services? H&M is one of several retailers experimenting with and leveraging chatbots as a  mobile marketing opportunity – according to a report by Accenture, 32 percent of the world (a large portion of the population 29 years old and younger) uses social media daily and 80 percent of that time is via mobile.

Magic, launched in early 2015, is one of the earliest examples of conversational commerce by launching one of the first all-in-one intelligent virtual assistants as a service. Unique in that the service does not even have an app (you access it purely via SMS), Magic promises to be able to handle virtually any task you send it — almost like a human executive assistant. Based on user and press accounts, Magic seems to be able to successfully carry out a variety of odd tasks from setting up flight reservations to ordering hard-to-find food items.
ELIZA's key method of operation (copied by chatbot designers ever since) involves the recognition of cue words or phrases in the input, and the output of corresponding pre-prepared or pre-programmed responses that can move the conversation forward in an apparently meaningful way (e.g. by responding to any input that contains the word 'MOTHER' with 'TELL ME MORE ABOUT YOUR FAMILY'). Thus an illusion of understanding is generated, even though the processing involved has been merely superficial. ELIZA showed that such an illusion is surprisingly easy to generate, because human judges are so ready to give the benefit of the doubt when conversational responses are capable of being interpreted as "intelligent". is an AI-powered chatbot. It works across messengers, websites, Android apps, and iOS apps. lets you automate up to 70 percent of your customer support. It can also integrate with your existing CRM and support tools. Plus, it can learn new queries and responses over time. You can add cards, carousels, and quick replies to enrich your conversations. It looks like this  

In our research, we collaborate with a strong network of national and international partners from academia and industry. We aim to bring together different people with different skill sets and expertise to engage in innovative research projects and to strengthen the exchange between research and practice. Our partnerships can take various forms, including project-based collaboration, research scholarships, and publicly funded projects.
“Utility gets something done following a prompt. At a higher level the more entertainment-related chatbots are able to answer all questions and get things done. Siri and Cortana you can have small talk with, as well as getting things done, so they are much harder to build. They took years and years of giant company’s efforts. Different companies that don’t have those resources, like Facebook, will build more constrained utility bots.”
When one dialog invokes another, the Bot Builder adds the new dialog to the top of the dialog stack. The dialog that is on top of the stack is in control of the conversation. Every new message sent by the user will be subject to processing by that dialog until it either closes or redirects to another dialog. When a dialog closes, it's removed from the stack, and the previous dialog in the stack assumes control of the conversation.
This chatbot aims to make medical diagnoses faster, easier, and more transparent for both patients and physicians – think of it like an intelligent version of WebMD that you can talk to. MedWhat is powered by a sophisticated machine learning system that offers increasingly accurate responses to user questions based on behaviors that it “learns” by interacting with human beings.
There is a general worry that the bot can’t understand the intent of the customer. The bots are first trained with the actual data. Most companies that already have a chatbot must be having logs of conversations. Developers use that logs to analyze what customers are trying to ask and what does that mean. With a combination of Machine Learning models and tools built, developers match questions that customer asks and answers with the best suitable answer. For example: If a customer is asking “Where is my payment receipt?” and “I have not received a payment receipt”, mean the same thing. Developers strength is in training the models so that the chatbot is able to connect both of those questions to correct intent and as an output produces the correct answer. If there is no extensive data available, different APIs data can be used to train the chatbot.
I know what you’re thinking – when will the world of marketing just stand still for a moment and let us all catch up?!?! No such luck, dear readers. No sooner have we all gotten to grips with the fact that we’re going to have to start building live video campaigns into our content marketing strategies, something else comes along that promises to be the next game-changer. And so here we are with the most recent marketing phenomenon – chatbots.

But, as any human knows, no question or statement in a conversation really has a limited number of potential responses. There is an infinite number of ways to combine the finite number of words in a human language to say something. Real conversation requires creativity, spontaneity, and inference. Right now, those traits are still the realm of humans alone. There is still a gamut of work to finish in order to make bots as person-centric as Rogerian therapists, but bots and their creators are getting closer every day.
There are obvious revenue opportunities around subscriptions, advertising and commerce. If bots are designed to save you time that you’d normally spend on mundane tasks or interactions, it’s possible they’ll seem valuable enough to justify a subscription fee. If bots start to replace some of the functions that you’d normally use a search engine like Google for, it’s easy to imagine some sort of advertising component. Or if bots help you shop, the bot-maker could arrange for a commission.
Of course, it is not so simple to create an interactive agent that the user will really trust. That’s why IM bots have not replaced all the couriers, doctors and the author of these lines. In this article, instead of talking about the future of chatbots, we will give you a short excursion into the topic of chatbots, how they work, how they can be employed and how difficult it is to create one yourself.
These are hardly ideas of Hollywood’s science fiction. Even when the Starbucks bot can sound like Scarlett Johansson’s Samantha, the public will be unimpressed — we would prefer a real human interaction. Yet the public won’t have a choice; efficient task-oriented dialog agents will be the automatic vending machines and airport check-in kiosks of the near future.
“I’ve seen a lot of hyperbole around bots as the new apps, but I don’t know if I believe that,” said Prashant Sridharan, Twitter’s global director of developer relations. “I don’t think we’re going to see this mass exodus of people stopping building apps and going to build bots. I think they’re going to build bots in addition to the app that they have or the service they provide.”
Build a bot directly from one of the top messaging apps themselves. By building a bot in Telegram, you can easily run a bot in the application itself. The company recently open-sourced their chatbot code, making it easy for third-parties to integrate and create bots of their own. Their Telegram API, which they also built, can send customized notifications, news, reminders, or alerts. Integrate the API with other popular apps such as YouTube and Github for a unique customer experience.
Chattypeople is the best chatbot platform for creating an AI chatbot on Facebook with integrated Facebook commerce. With Chattypeople you can create a Facebook message both quickly and easily, no coding required. The platform's simplicity makes it ideal for entrepreneurs and marketers in smaller companies, while its technology makes it suitable for enterprise customers. You can make a simple bot answering customer service questions or integrate it with Shopify to monetize your Facebook fan pages. ChattyPeople is where f-commerce and ai-commerce come together. Chattypeople is 100% free to get started.
One of the most thriving eLearning innovations is the chatbot technology. Chatbots work on the principle of interacting with users in a human-like manner. These intelligent bots are often deployed as virtual assistants. The best example would be Google Allo - an intelligent messaging app packed with Google Assistant that interacts with the user by texting back and replying to queries. This app supports both voice and text queries.
A chatbot (also known as a spy, conversational bot, chatterbot, interactive agent, conversational interface, Conversational AI, talkbot or artificial spy entity) is a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods.[1] Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, thereby passing the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatbots use sophisticated natural language processing systems, but many simpler ones scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.