What do you need to know about the bot development

What do you need to know about the bot development

The instant Messaging platforms are going out of style, and Chatbots is their replacement. They are touted as being 'the next big thing' in apps development, like a huge change in the communication industry. Since Facebook has expanded access to its Messenger service, displaying a window of opportunity to reach more customers through different APIs, “Chatbots” have become the buzzword to fill the gaping void.  

What are chatbots?  

Using artificial intelligence techniques chatbots interact with us either through text chat or voice. Chatbots are personal assistants that do all the leg work for you. It could be implemented in any major chat product like Messenger, Slack, Telegram, etc. and will finally be a way to easily find anything that we are looking for either too complex or too simple without having to find anything in a messed up Web room or open multiple apps.  

How do they work? 

Chatterbots is a two-way flow of information between it and a user; they respond to the user's input keywords and access the database sending out a predefined response. For example, user typically sends out a mass text message that contains the word “car”. The chatbot will most likely ask for specific information like: “Which is the model of your car?” Or “Can I know more about your car?”. 

The chatbot selects a response from a library of predefined responses and APIs attached to it to check for the set of patterns. Chatbots are usually based on this pattern matching technique, though there are examples of statistically based text-message question answering services. The intelligence of chatbot depends on how human-like these predefined patterns actually are. 

Some Chatbots use human-like representation that operates with artificial intelligence. This bot understands natural language, not just programmed commands, and gets smarter when it interacts with people and listens to their conversations.  

Are chatbots such a big opportunity? 

Messaging apps are rising, and steadily starting to overtake social networks to become the dominant platforms. 

Improvements in Artificial Intelligence has made it possible to use informal language and casual context as command line. It makes bots understand users converse and automate the execution of the command to be genuine communication method between the two parties. 

The challenge is that we need to gather data about consumer behavior and be more nimble to adapt to changes in the market. At early stages, it is tethered to mere human levels of conversational involvement that enables the AI bot to understand what the user is really asking for nearly immediately. 

How to build bots? 

So there are 2 types of bots in this game when you boil it all down: one that follows standing rules and the other one, which handles the more challenging issues. The main approaches are either rule-based or probabilistic: the developer is hand writing rules for the system, and it can be machine learning, which requires a system to process a considerable amount of steaming data and to learn how to get it to work consistently picking up on conversational cadences.  

Bots, so many more other bots we’ve found out there in the wild during our research with so many different features and particular reasons to exist. I can't even type all of them, but some. Crawlers, search engine spiders: These bots execute and run in the background as a process, retrieve data from other APIs, and actively comply with directives you give them. You can exclude Google and any other search engine from crawling your website, a specified page, content or directory by blocking a dance done by search engine spiders in your site’s robots.txt file. Transactional bots: These bots act as authorized representatives on behalf of humans, and able to communicate with external systems to accomplish a specific transaction, transfering data and jumping from one platform to another. Informational bots: These kinds of bots are constantly posting extremely valuable, helpful and requested information, often as push notifications, talking about breaking news stories, resending links. Entertainment bots turn out to be aesthetically pleasing and aware, and can replace actors. Deep Drumpf for example uses deep learning, applied to speech to make the sort of speeches like Donald Trump does, but they may also be used for typed communication. 

Don’t jump on the hype machine though, bots are based mainly on the idea of simplicity on the front end but many hurdles must be taken into account to create a great experience. You have analytics, flow optimization, ever changing platforms, error checking, integrations to APIs, routing and escalation to live human support, understanding NLP, no back buttons, no home button, etc. Choose which platform your bot will live on Facebook Messenger, Slack, Telegram etc., set up a server to run your bot from, and choose which service you will use to build your bot.