According to Stanford Researcher, John McCarthy, “Artificial Intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. Artificial Intelligence is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.”
In other words, AI’s aims at making computers and/or computer programs smart enough to replicate the human mind.
On the other hand, Chatbots are programs that interact with humans via text or voice interface. Chatbots can be compared to personal assistants. You nowadays find them in any major chat applications like Facebook Messenger, Slack, Text Messages, etc.
Messaging platforms are at their prime, and the use of Chatbots is the new trend. Presented as the new disruptive technology for the communication industry, “Chatbots” has become the new buzzword.
In the 90’s “bots” (short for ‘robots’) were automated programs that run over the web. Some of them were running automatically while others only executed commands when they received a specific input. Chat bots were one of the first types of automated programs to hit the market under the name “bots” and were pretty popular in the 90’s, as online chat rooms knew their peak. However these bots were scripts that looked for a certain text pattern to respond online chat rooms participants with automated actions.
Since then, Chatbots have evolved with the addition of artificial intelligence systems that interact with humans via text or voice interface. Some say that both “Chatbots” and “Virtual Assistants” are the same, others disagree, however what you call it isn’t important, it’s all about the function. Both of them are more “intelligent” than a simple bot. As we said earlier, bots only follow scripts, while a chatbot is able to look for more options to interpret a command. Because of the support of artificial intelligence, they can actually understand the meaning of what was typed or said. In addition, you can also connect them to additional sources of information for their use, such as a CRM, real-time insights etc.
You can have straightforward interactions, like asking for the latest news, or getting a weather report instead of browsing them. Or you can have more complex bots that could for example troubleshoot a problem with your internet service. The purpose of Chatbots is to help you find anything you look for, without having to go through the web or the use of multiple apps. You may consider them as personal assistant that could for instance, allow you to call your Uber cab directly from Facebook Messenger instead of going through the Uber app.
Nowadays we can find bots for different types of fields or information such as:
Bots offers you unlimited possibilities, indeed you can make bots for any kind of system in order to diminish pain points and work.
Nevertheless, Chatbots are not that “intelligent”, they are able to answer the questions that we ask for because humans make them do so with their input. What they do is that they recognize keywords from a user’s input, look into their database in order to give a predefined response. Let’s say that a user sends a text containing the word “car”, the chatbot will recognize the keyword “car” and will likely to answer “What is the model of your car?” or “Can you give me more information about your car?”.
Thanks to these responses, an illusion of understanding is created, even though only one keyword is found in the input, and the response is predefined. Basically, chatbots refers to predefined set of libraries and APIs appended to them, to fetch the correspondent set of patterns they can respond with. Chatbots function on pattern-matching, how “smart” the Chatbot will be depends on how human-like these predefined patterns are, and on its ability to understand the user’s text (or voice).
Also, some AI Chatbots development do include Machine Learning components. These advanced Chatbots understand not only commands but also language, plus they get smarter by learning from every conversations they hold with people.
You may also like:
Messaging apps are taking over social medias. In fact, with the rise of messaging apps and chatbots, how we interact, use and share on social media is changing. Studies have shown that for smartphones users condense their time using their favorites apps (browser, social media, chat and games). Plus, with opportunities narrowing down in the mobile apps business, developers are looking forward for chatbots as a new path.
However, the challenge here is how to process the huge amount of data about customer behaviors and preferences. On a technical level, there is a need of a human input to train the AI bot about what is being asked and how to solve the request. On a second note, with the enforcement of the General Data Regulation Protection (GDPR) law, there are some items that need to be addressed.
With the development of chatbots feeding on a multitude of data, it is important to ensure the compliance of the processing performed. It is also necessary to ensure the protection of the privacy of users, the chatbot should not be led to communicate the data of his interlocutor without the consent of the latter and for a purpose other than that expected by the user. Companies setting up chatbots must finally ensure that their service provider, subcontractor within the meaning of the GDPR, complies with its various requirements.
To conclude, most chatbots work on pattern-matching, their intelligence is limited compared to what AI can offer. Even though some advanced chatbots may include AI components or Machine learning, these capacities only allow them to understand language as commands more than being actually “smart”. They can nevertheless, offer numerous opportunities for developers as well as businesses to ease the customer experience
( Your e-mail address will not be published)