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The first chatbot ever was developed by MIT professor Joseph Weizenbaum in the 1960s. It was called ELIZA.
Fast forward to 2016, we experienced a major wave of artificial data technology in chatbot design. Social media platforms such as Facebook took up this opportunity quickly by allowing developers to build AI chatbot as a service via Facebook Messenger.
What is AI Chatbot? In essence, an AI chatbot is a digital tool that converses with you. It responds by providing the information you need, offering remote support, making appointments and much more without involving humans in the interaction.
We see a significant rise of interest in the market from businesses of all sizes to implement this latest technology for various reasons. However, AI Chatbot is a relatively new field for businesses and many people have preconceived ideas about the technology that are not true at present time.
Are all AI Chatbot the same? Can AI Chatbot learn by itself? Let’s take some time to address them:
All chatbots use artificial intelligence (AI)
No, not all chatbots are using AI. While it is very tempting to assume so, not all implementation requires AI. Generally, they are split into two types:
Unlike rule-based chatbot, AI chatbot utilises a range of Machine Learning (ML) components such as Natural Language Processing (NLP) to create a human-like interaction experience. NLP makes it possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important. AI also plays an important role in catching the context of a conversation and responding beyond keywords recognition. This advanced implementation can read into user patterns and create the best responses on the spot.
Unlike rule-based chatbot, AI chatbot utilises a range of Machine Learning (ML) components such as Natural Language Processing (NLP) to create a human-like interaction experience. NLP makes it possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important. AI also plays an important role in catching the context of a conversation and responding beyond keywords recognition. This advanced implementation can read into user patterns and create the best responses on the spot.
AI Chatbot can learn and improve by itself
While it is not entirely impossible, most businesses should instead focus on a hybrid implementation with training by a human.
The truth is, true machine learning requires massive amounts of data that very few businesses have. On top of that, machine learning is still a relatively expensive technology. Adopting an AI chatbot is a bit like adopting a pet. If you don’t know how to train a chatbot and take care of it properly.
Human training, also commonly known as supervised learning, should be incorporated to maintain the quality of AI Chatbot responses. Besides, you may not always like what it learns.
It is true that neural networks can learn on their own. But there is no solid and promising AI Chatbot software in the market that allows independent learning from past conversations without some human intervention. Continuous improvement is key so always spend time to identify areas where your AI chatbot needs more training will give you important insights about your business.
It is easy and fast to build an AI Chatbot
Yes, you can build an AI chatbot fast — it will fail fast too.
A good chatbot is more than just uploading a whole list of FAQs and letting it run on its own. A successful implementation includes strategic planning and process alignment. Businesses should spend time identifying the objectives and impact of incorporating AI Chatbot in their daily operations. Aim for long term benefits instead of meeting short term goals.
Do not forget to allocate time for testing and feedback too. Very often we underestimate the importance of thorough testing and do not allocate sufficient time to conduct user acceptance testing meaningfully. A poor quality AI Chatbot impacts your reputation so why not spend a little more time to get it right?
AI Chatbot is here to replace my human staff
While chatbots can take over basic repetitive questions or tasks, real people are needed to take up complex issues. Adding AI Chatbot into your operations is simply an initiative to provide better customer service. Unresolved cases by an AI Chatbot can always be passed on to a live agent to address.
Businesses should focus on providing meaningful roles for staff to on and grow in their career. With that, everyone grows and win together.
Building a multi-lingual AI Chatbot is as quick as copy, paste and go
While the quality of language translator has improved over the years, it may not be great at capturing cultural differences. A question can be asked in a different way in a different language so translating a conversation have to be more than merely pasting the English version into software to generate a direct translation.
A good multi-lingual AI Chatbot needs to understand how dialogues are formed in different languages. Some countries may appreciate direct questioning but others may not feel the same. Take time to understand the nuances of the language before you develop the conversation flow for your AI Chatbot.
Final Thoughts
In this article, we are only highlighting a couple of popular misconceptions. We believe Artificial Intelligence will only get more exciting and be made available for more use cases. Perhaps these challenges can be addressed in due time. For now, AI Chatbot is a valuable asset businesses should consider incorporating in day-to-day processes.
How do you intend to use it to meet your business goals today?
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