Nowadays Messenger chatbots can be set up within a few minutes. However, creating a high-quality customer service chatbot takes some time and professional effort.
To train a chatbot the right way, you need a lot of input. This input is fed to chatbots through data that is available everywhere in today’s online world. Yet, for machines to be able to make sense of this data, it has to be structured in a readable and usable way.
This never-ending feed of data for chatbots is the basis of machine learning, as it helps artificial intelligence gain more knowledge and a deeper understanding of our communication. That way every single data input can improve the chatbot. This is exactly why data is the most important aspect of creating a useful chatbot.
Individually obtained or open-source data is widely available to be used to train a chatbot. This is how they learn more about the needs and different communication styles of humans.
With this approach, chatbots are going through a continuous evolutionary process that tries to emulate human conversational behaviors.
To achieve this, different technologies like Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) are used. Through the interplay of these components, specialized algorithms are built that can create personalized experiences for users. Further being supported by enormous data sets that grow with each new conversation.
The more data is available, the better a chatbot can understand the individual needs of a single user. Because this is how they get access and learn to utilize different speech patterns and context.
The quality of the used data has a high impact on the quality of the chatbot itself. The more it is trained for different scenarios the better it can support individual customer needs.
On a very basic level, a chatbot is transforming raw data into speech or text and conversations. For a chatbot, the most important aspect of communication is to understand what people are saying and to know what answer to give. To be able to get this right, they need data from former conversations. These can be taken from emails, customer calls or other conversational documents.
Chatbots, voice assistants and AI,
Having access to your own qualitative data sets is always beneficial in this regard, as they have a direct relation to your business and its customers. Unfortunately, not every business has access to their own data right from the start. Be it because they are a startup or just haven’t been collecting data before. That’s why open-source data sets can come in handy to train a chatbot.
Some open-source data sets are:
With these openly available data sets your chatbot can be built with great conversational skills right from the start.
While open-source data sets are a great place to start, they are not perfect. That’s why you should always start to collect and integrate your own data too.
Open-source data is less specific to your brand and market and you are usually restricted to English inputs. Furthermore, there is no filtering applied so a lot of errors can be included in the data sets influencing your chatbots text proficiency.
Your own data will enable your chatbot to follow the multi-faceted communication approach we humans use. This is achieved by developing non-linear communication flows based on multiple data entries.
Advanced training is taking it a step further and applies NLP to analyze language patterns of users. That’s how a chatbot can asses the general mood of a customer and take action to lighten the mood if necessary.
Development potentials are almost endless because there’s always more data that can be used to enhance the chatbot’s performance. New features can easily be added allowing for the chatbot’s value to the business and its customers to grow constantly.
Any business that is interested in developing or upgrading a chatbot should work with the best data available. With Onlim you’ll work with a specialized chatbot and AI leader that supports your chatbot projects. Click here to find out more about our specific offers and see how we can support you today.