Chatbots are not just the helpdesk assistants of the future, they are the helpdesks of the future. As a company that makes chatbots and has access to a tonne of data that repeatedly shows how chatbots are more effective than your typical customer service agent, we at Kommunicate believe that there will be only one channel of communication between you and your customers in the future -- chatbots. As more and more millennials become paying customers who prefer to talk to a computer rather than a real human being, adding a chatbot to your website is not just common sense, it is a matter of survival. But what if you already have a chatbot involved, which is taking care of all those customer conversations, doing a bit of lead generation for you, handling customer support, and even helping out the sales team. You must have got it all figured out and would now just have to sit back, sip iced tea (or coffee, if you prefer) and watch your business grow, right?

IBM Watson Assistant is a chatbot that employs artificial intelligence. It comprehends customers queries and responds quickly, consistently, and accurately across any application, device, or channel. And mainly Watson Assistant is a service that allows you to integrate conversational interfaces into any website or app. In this tutorial, I will show how to use Kommunicate to link a Watson Assistant chatbot to WhatsApp, extending its capabilities. Assuming you're familiar with Watson Assistant and how it works.

Rich messages are more than important in while building a bot. In contrast to the plain text, rich messages offer a cleaner, simpler, more intuitive and informative, and effortless conversation flow. In this post, we will learn how to add rich message button response in Amazon Lex bot. Buttons are the most widely used form of rich messaging. Buttons make it much easier for users to navigate through your chatbot.

A chat-bot is, a robotic self learning and talking bot which imitate human conversation through text chats and voice commands (a good example being Siri or Amazon Alexa). Task Handling Chat-bot where you ask something and it execute that task in more easy manner. For example if you ask to book a table at a restaurant, or open website than it will perform the operation on your mobile, laptop and lands you at the page you ask, order the pizza for you A.I. based chat bots (learn over a period of time using Machine Learning techniques) -- dialog flow is an example of that Chat bots are mostly used for businesses will only increase as time goes by. No programming prior experience is required because Google Dialogflow is the platform where all the Machine learning algorithm get trained in back-end. Go to the Dialogflow Console.