Devansh Bansal is the VP of the Emerging Tech Business Unit at Damco Solutions. The widespread adoption of chatbots was imminent with the stellar rise and consolidation of instant messaging. However, the accelerated pace at which chatbots have evolved from accepting scripted responses to holding natural-sounding conversations has been unprecedented. According to Google Trends, the interest in AI Chatbots has increased ten-fold over the last five years! With chatbots getting smarter, value-driven, and user-friendly, it has fueled customer-led demand for chatbot-driven interaction at every touchpoint.

One of the most compelling use cases for AI at the moment is developing chatbots and conversational agents. While the AI part of the equation works reasonably well, getting the training data organized to build and train accurate chatbots has emerged as the bottleneck for wider adoption. That's what drove the folks at Dashbot to develop a data platform specifically for chatbot creation and optimization. Recent advances in natural language processing (NLP) and transfer learning have helped to lower the technical bar to building chatbots and conversational agents. Instead of creating a whole NLP system from scratch, users can borrow a pre-trained deep learning model and customize just a few layers.

Increasing focus on digital transformation has been driving the popularity of conversational AI and text & voice-based chatbots. Many enterprises are leveraging these solutions for automating as well as humanizing conversations and enriching customer interactions. As chatbots are becoming the quintessential tool to deliver premium customer support as well as automating operational routines, organizations are looking for solutions that augment existing capabilities in these areas. AI-powered bots that can understand, learn, and even recommend based on customer behavior are gaining top-mindshare among executives. There is a huge demand in the market for solutions that can deploy AI-powered bots within minutes to enhance lead generation and support branding activities.

Chatbot app development is making companies remove manpower deployed for redundant tasks and utilize them for more complicated tasks that actually matter. If you have an Alexa, interacted with Google Assistant or got in touch with a customer service executive on an app, you have already spoken to a chatbot. Today's tech advancements push the limits of chatbot app development to great extents. That's why some of them are also on the verge of cracking the Turing Test. From a business perspective, chatbots are inevitable and are value additions to your company's operations.

Not so long ago, mentions of artificial intelligence would have conjured up images of a Terminator-style'Judgement Day' scenario. Nowadays, it's fair to say that people have a much more pragmatic view of the whole thing. Developers have identified a number of areas in which AI – whether more or less pre-programmed – can improve efficiency, usually by either automating tasks or analyzing and streamlining processes. Chatbot statistics reveal that one of the main areas in which AI is already helping businesses – in one way or another – is customer service. As we'll see in this in-depth article, the usage of bots in this field is happening on a sizable scale, will almost certainly continue to increase, and could provide some huge benefits for businesses and customers alike. For the uninitiated, chatbots are simply computerized services with which you interact via a chat interface. They can be used for practical purposes – like customer service, or to help organize your life – or simply as a bit of fun. Considering this phrase would have been largely unknown just a few years ago, it is becoming commonplace at an incredibly quick rate, as this rapid increase in Google search volume shows. While people in the past might have been suspicious of computerized'personalities' – as shown in innumerable Hollywood movies – nowadays they're becoming more and more unremarkable.

"Business Insider reports that over 80% businesses are expected to have Chatbot automation implemented by 2020, given its efficiency and versatility. Chatbots are on rising and gaining lot of popularity! The progress in NLP -- Natural Language Processing -- field is scaling new heights everyday and with that Natural Language Understanding of machines is increasing tremendously which in-turn increasing capabilities of Chatbots. NLP based chatbots are better at understanding the question it is asked and providing answer. Not only that, it can serve customers 24/7 and on multiple channels like Google Assistant, Facebook Messenger, Your website, etc.

In your journey of chatbot development, you must have always wondered how chatbots converse so effectively. The conversations become so flawless that we almost forget that we are actually talking to an automated agent. In this article, we are going to dive into conversational design, and how to make the agent learn example conversations for training the Dialogue Manager. So, let's start our exciting journey of … Whenever we start building a conversational agent, we just have one thing in mind… "How to make our Bot most Human like?" Every conversational agent is built on two important components -- Language Understanding and Dialogue Management System.

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Use Messenger bots to capture, qualify and nurture your leads. Overcome any objections simply by sending a subscriber to an automated follow-up sequence. You can also transfer & sync your data with third-party software, such as CRM or Google Sheets using unlimited integrations. With Messenger bots, you can convert ice-cold traffic to warm leads without them leaving the chat window (no landing page required). That removes the friction and leads to lower cost-per-acquisition and higher ROAs.

Surveys show that 89% of consumers opt to engage with businesses through text and 64% of consumers that communicate with businesses via text leave with a positive impression. Clearly, we are not far from the time where majority of interactions will be automated completely given that conversational AI / intelligent chatbots are playing a crucial role in almost every industry. With chatbots becoming mainstream, several industries are utilizing them as they offer greater and less intrusive opportunities when it comes to customer engagement (esp. It is only a matter of time before chatbots in restaurants make their way to the forefront. Designed to communicate in a meaningful manner with customers, chatbots can be integrated with any interface (Facebook, Slack or Telegram to name a few).