Machine learning (ML), a type of artificial intelligence (AI), creates algorithms that support machines in better comprehending data and making data-driven judgments.
The applications and uses of machine learning are vast and diverse. One of the trending applications of machine learning is the use of website chatbots by organizations.
A chatbot is a software application designed to simulate human conversation. Many chatbots run on messaging apps or short message service (SMS).
Chatbot technology uses natural language processing and artificial intelligence to understand what a human needs and adapt its response to help end-users reach a desired outcome. They are like a virtual assistant who creates a better customer experience during each consumer touchpoint.
But are chatbots effective? Apparently, yes. Studies show that the way machine learning manifests in a chatbot (i.e., supporting customers in their shopping) has a very positive impact on sales.
Chatbot technology is developing quickly—and so are technologies that can support it. Currently there are two basic types of chatbot:
- Chatbots based on pre-set, Q&A scripts, where users respond by selecting buttons instead of typing themselves
- Chatbots based on machine learning/artificial intelligence and Natural Language Processing (NLP). These bots are intelligent and can “learn” over time to respond like humans would to free-form user inputs
Analysts contend that AI and NLP are the future of chatbots. Advances in both will mean that chatbots will be able to respond accurately to most any input as well as have the ability to be prepared for anything and to collect information for analysis and use.
There’s also a push toward technology allowing a chatbot to develop a sense of emotional intelligence (EQ). It’s believed this particular benefit of machine learning will make chatbots seem more human, and better able to detect the intent behind user messages.
Want to learn more? Tonex offers Machine Learning Training Bootcamp, a 3-day technical training course covering the fundamentals of machine learning and much more.
Participants learn differences and similarities between machine learning, artificial intelligence, deep learning, data mining and data warehouse. Artificial intelligence uses models built by machine learning to create intelligent behavior applied to businesses, marketing and sales, operations, autonomous cars, games and industrial automation by prediction based on rules and using programming languages and algorithms.
For more information, questions, comments, Contact us.