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.
Conversable is the enterprise-class, SaaS platform that will build your bot with you. They work with a lot of Fortune 500 companies (they’re behind the Whole Foods, Pizza Hut, 7-11, and Dunkin Donuts bots, among others). They go beyond Facebook Messenger, and will make sure your conversations are happening across all channels, including voice-based ones (like, for instance, OnStar).
“Major shifts on large platforms should be seen as an opportunities for distribution. That said, we need to be careful not to judge the very early prototypes too harshly as the platforms are far from complete. I believe Facebook’s recent launch is the beginning of a new application platform for micro application experiences. The fundamental idea is that customers will interact with just enough UI, whether conversational and/or widgets, to be delighted by a service/brand with immediate access to a rich profile and without the complexities of installing a native app, all fueled by mature advertising products. It’s potentially a massive opportunity.” — Aaron Batalion, Partner at Lightspeed Venture Partners
Marketer’s Take: A great example of a chat bot that makes purchasing products and services easy. In its next generation, I expect 1-800-Flowers to ping me on special occasions, send Facebook messages to the recipient automatically, and notify me on Facebook that the flowers have been delivered. The combined digital and physical experience will up the game in the flower delivery business.
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.
Chatbots talk in almost every major language. Their language (Natural Language Processing, NLP) skills vary from extremely poor to very clever intelligent, helpful and funny. The same counts for their graphic design, sometimes it feels like a cartoonish character drawn by a child, and on the other hand there are photo-realistic 3D animated characters available, which are hard to distinguish from humans. And they are all referred to as ‘chatbots’. If you have a look at our chatbot gallery, you will immediately notice the difference.
This is where most applications of NLP struggle, and not just chatbots. Any system or application that relies upon a machine’s ability to parse human speech is likely to struggle with the complexities inherent in elements of speech such as metaphors and similes. Despite these considerable limitations, chatbots are becoming increasingly sophisticated, responsive, and more “natural.”

HealthTap helps you get answers for your health queries from physicians around the world, for free. You can browse through and read answers for similar queries as yours. Over 100,000 physicians with different specialities regularly review and post answers to the questions asked on HealthTap. So, the next time you’re down with headache after texting the entire night on Messenger, you know who to ping next.
Properly building a chatbot will help you change the way consumers interact with your brand, increasing customer satisfaction and monetizing your social media platforms at the same time. By following the tips outlined above you will be able to create a chatbot that is line with your brand and that best portrays your company as a whole and you don't have to be a chatbot expert to get started.  
Please check out our main directory with 1376 live chatbot examples (an overview as maintained by developers themselves), our vendor listing with 256 chatbot companies and chatbot news section with already more than 370 articles! Our research tab contains lots of papers on chatbots, 1,166 journals on chatbots and 390 books on chatbots. This research section also shows which universities are active in the chatbot field, indicates which publishers are publishing journals on humanlike conversational AI and informs about academic events on chatbots. Also, check out our dedicated tab for awards, contest and games related to the chatbot field, various forums like our AI forum by chatbot enthusiasts and add any chatbot as created by yourself and your colleagues to our chatbot directory. Please do not forget to register to join us in these exciting times.
Insidiously and persistently, Facebook is chipping away at other messaging platforms and moving their users to Facebook Messenger. If they keep it up, by the end of 2017 there will be as many people on Messenger (currently 900 million) as Facebook (1.674 billion). But, counterintuitive as that strategy seems (why bifurcate resources on two fronts) that is all part of Mark Zuckerberg’s avec nous le deluge.
“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
According to Richard Wallace, chatbots development faced three phases over the past 60 years. In the beginning, chatbot only simulated human-human conversations, using canned responses based on keywords, and it had almost no intelligence. Second phase of development was strictly associated with the expansion of Internet, thanks to which a chatbot was widely accessed and chatted with thousands of users. Then, the first commercial chatbot developers appeared. The third wave of chatbots development is combined with advanced technologies such as natural language processing, speech synthesis and real-time rendering videos. It comprises of chatbot appearing within web pages, instant messaging, and virtual worlds.
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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