The word bot, in Internet sense, is a short form of robot and originates from XX century. The modern use of the word bot 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 respectable 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.[4]
Several studies accomplished by analytics agencies such as Juniper or Gartner [36] report significant reduction of cost of customer services, leading to billions of dollars of economy in the next 10 years. Gartner predicts an integration by 2020 of chatbots in at least 85% of all client's applications to customer service. Juniper's study announces an impressive amount of $8 billion retained annually by 2022 due to the use of chatbots.
The first formal instantiation of a Turing Test for machine intelligence is a Loebner Prize and has been organized since 1991. In a typical setup, there are three areas: the computer area with typically 3-5 computers, each running a stand-alone version (i.e. not connected with the internet) of the participating chatbot, an area for the human judges, typically four persons, and another area for the ‘confederates’, typically 3-5 voluntary humans, dependent on the number of chatbot participants. The human judges, working on their own terminal separated from one another, engage in a conversation with a human or a computer through the terminal, not knowing whether they are connected to a computer or a human. Then, they simply start to interact. The organizing committee requires that conversations are restricted to a single topic. The task for the human judges is to recognize chatbot responses and distinguish them from conversations with humans. If the judges cannot reliably distinguish the chatbot from the human, the chatbot is said to have passed the test.
Last, but not least coming in with the bot platform for business is FlowXO, which creates bots for Messenger, Slack, SMS, Telegraph and the web. This platform allows for creating various flexibility in bots by giving you the option to create a fully automated bot, human, or a hybrid of both. ChatBot expert Murray Newlands commented that "Where 10 years ago every company needed a website and five  years ago every company needed an app, now every company needs to embrace messaging with AI and chatbots."
The Evie chatbot has had a huge impact on social media over the last few years. She is probably the most popular artificial personality on YouTube. She has appeared in several videos by PewdiePie, the most subscribed YouTuber in the world. This includes a flirting video with over 12 million views! Evie has been filmed speaking many different languages. She chats with Squeezie in French, El Rubius and El Rincón De Giorgio in Spanish, GermanLetsPlay and ConCrafter in German, NDNG - Enes Batur in Turkish, Stuu Games in Polish and jacksepticeye, ComedyShortsGamer and KSIOlajidebtHD in English. And that is a very small selection. Evie shares her database with Cleverbot, which is an internet star in its own right. Cleverbot conversations have long been shared on Twitter, Facebook, websites, forums and bulletin boards. We are currently working to give Evie some more artificial companions, such as the male avatar Boibot.
Have you checked out Facebook Messenger’s official page lately? Well, now you can start building your own bot directly through the platform’s landing page. This method though, may be a little bit more complicated than some of the previous ways we’ve discussed, but there are a lot of resources that Facebook Messenger provides in order to help you accomplish your brand new creation. Through full-fledged guides, case studies, a forum for Facebook developers, and more, you are sure to be a chatbot creating professional in no time.
Want to initiate the conversation with customers from your Facebook page rather than wait for them to come to you? Facebook lets you do that. You can load email addresses and phone numbers from your subscriber list into custom Facebook audiences. To discourage spam, Facebook charges a fee to use this service. You can then send a message directly from your page to the audience you created.
Interface designers have come to appreciate that humans' readiness to interpret computer output as genuinely conversational—even when it is actually based on rather simple pattern-matching—can be exploited for useful purposes. Most people prefer to engage with programs that are human-like, and this gives chatbot-style techniques a potentially useful role in interactive systems that need to elicit information from users, as long as that information is relatively straightforward and falls into predictable categories. Thus, for example, online help systems can usefully employ chatbot techniques to identify the area of help that users require, potentially providing a "friendlier" interface than a more formal search or menu system. This sort of usage holds the prospect of moving chatbot technology from Weizenbaum's "shelf ... reserved for curios" to that marked "genuinely useful computational methods".
A chatbot is a computer program 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, although as of 2019, they are far short of being able to pass the Turing test.[2] 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.
FlowXO is a powerful automation product that allows you to quickly and simply build incredible chatbots that help you to communicate and engage with your audience across platforms. One best thing FlowXo offers is the implementation of other platforms. The use of this chatbot builder can get quite technical fairly quickly, you should be able to think in terms of attributes.
Certainly for Facebook, this is much more about extracting marketing dollars than it is about breaking new ground in software development. Because by studying user’s interactions with these bots, Facebook will continue to build their understanding of how consumers are interacting with brands and gain additional insight into what products they like and content they consume. That can only mean more value to marketers and thus more dollars for Facebook.
Since 2016 when Facebook allows businesses to deliver automated customer support, e-commerce guidance, content and interactive experiences through chatbots, a large variety of chatbots for Facebook Messenger platform were developed.[37] In 2016, Russia-based Tochka Bank launched the world's first Facebook bot for a range of financial services, in particularly including a possibility of making payments. [38] In July 2016, Barclays Africa also launched a Facebook chatbot, making it the first bank to do so in Africa. [39]
Previous generations of chatbots were present on company websites, e.g. Ask Jenn from Alaska Airlines which debuted in 2008[29] or Expedia's virtual customer service agent which launched in 2011.[29][30] The newer generation of chatbots includes IBM Watson-powered "Rocky", introduced in February 2017 by the New York City-based e-commerce company Rare Carat to provide information to prospective diamond buyers.[31][32]

Since the steep rise of available hardware and software platforms lately, nowadays chatbots are available everywhere. Originally, they were very tight to computers, then exchangeable through tapes, discs and floppy discs, but since the Internet era they have been widespread. For example ancient chatbot Eliza is now also available on iPhone, while famous chatbot A.L.I.C.E. is available on Facebook.
Fify claims to be an intelligent fashion discovery and transaction bot. “Fify will have memory and personality to behave just as humans. She will behave differently with different people. She will remember one’s taste and preferences. She will be context aware of what is happening in your world. Fify will first talk only about Fynd Fashion and eventually do all sorts of thing related to fashion — discuss trends, alert you about new arrivals, and even gossip about the latest fad of a movie star,” their blog claims.

24/7 digital support. An instant and always accessible assistant is assumed by the more and more digital consumer of the new era.[36] Unlike humans, chatbots once developed and installed don't have a limited workdays, holidays or weekends and are ready to attend queries at any hour of the day. It helps to the customer to avoid waiting of a company's agent to be available. Thus, the customer doesn't have to wait for the company executive to help them. This also lets companies keep an eye on the traffic during the non-working hours and reach out to them later.[43]
Develop intelligent, enterprise-grade bots that let you maintain control of your data. Build any type of bot—from a Q&A bot to your own branded virtual assistant. Use a comprehensive, open-source SDK and tools to easily connect your bot across popular channels and devices. Give your bot the ability to speak, listen, and understand your users with native integration of Azure Cognitive Services.
“We believe that you don’t need to know how to program to build a bot, that’s what inspired us at Chatfuel a year ago when we started bot builder. We noticed bots becoming hyper-local, i.e. a bot for a soccer team to keep in touch with fans or a small art community bot. Bots are efficient and when you let anyone create them easily magic happens.” — Dmitrii Dumik, Founder of Chatfuel
Chatbots are certainly the quickest and most cost-effective way to be able to connect with the largest group of audience available on a single platform viz Facebook. Higher engagement rate than emails this trend is here to stay for a long time if not forever. Good for you, now that you have a proper list of tools that can be used to build chatbots in a snap of a finger. It’s no more a rocket science formula to implement them and let the results surprise you for yourself.
Chatbots are increasingly present in businesses and often are used to automate tasks that do not require skill-based talents. With customer service taking place via messaging apps as well as phone calls, there are growing numbers of use-cases where chatbot deployment gives organisations a clear return on investment. Call centre workers may be particularly at risk from AI-driven chatbots.[60]
ALICE – which stands for Artificial Linguistic Internet Computer Entity, an acronym that could have been lifted straight out of an episode of The X-Files – was developed and launched by creator Dr. Richard Wallace way back in the dark days of the early Internet in 1995. (As you can see in the image above, the website’s aesthetic remains virtually unchanged since that time, a powerful reminder of how far web design has come.) 
FlowXO is a powerful automation product that allows you to quickly and simply build incredible chatbots that help you to communicate and engage with your audience across platforms. One best thing FlowXo offers is the implementation of other platforms. The use of this chatbot builder can get quite technical fairly quickly, you should be able to think in terms of attributes.
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.
Smart chatbots rely on artificial intelligence when they communicate with users. Instead of pre-prepared answers, the robot responds with adequate suggestions on the topic. In addition, all the words said by the customers are recorded for later processing. However, the Forrester report “The State of Chatbots” points out that artificial intelligence is not a magic and is not yet ready to produce marvelous experiences for users on its own. On the contrary, it requires a huge work:

To compliment the functionality of bots for Messenger, we're introducing another tool to facilitate more complex conversational experiences, leveraging our learnings with M. The wit.ai Bot Engine enables ongoing training of bots using sample conversations. This enables you to create conversational bots that can automatically chat with users. The wit.ai Bot Engine effectively turns natural language into structured data as a simple way to manage context and drive conversations based on your business or app's goals.
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