By knowing everything, we mean all that is important to know that is relevant to chatbots for businesses and how they work today.
Artificial Intelligence, chatbots and the idea of machines using human-like abilities dates back decades. People have invested their entire lives working on this technology.
But here, we are going to give you a crash history lesson and information that will provide you with a good insight on this technology.
The work behind Artificial Intelligence began in 1956 when an academic discipline for AI was founded. There was a bad period for AI known as “AI Winter,” as the ups and downs, and loses and gains, slowed down the process of improving this technology.
AI research Goals:
- Natural Language Processing
- Ability to move and manipulate objects
The advancements in computers and the ability for them to compute large data much faster helped to achieve more of AI’s goals, as well as giving proper direction to others. With faster computers, a new technique was formed, known as Deep Learning.
The importance of Machine Learning in developing AI is so significant that it has become a separate field of computer science.
The concept is coined by Arthur Samuel back in 1959, which is the ability of a program to find patterns in the stream of data and having the ability to learn without supervision.
With the ability to self-learn by examples and to find logical output, it allows them to mimic human-like conversations. With a faster computer today and cloud-based information on the internet, there is no stopping for an evolution of these AI programs.
Natural Language Processing
With Natural Language Processing, also known as NLP, chatbots are given the ability to read and understand the human way of conversation and human language.
It works in a way as a filter that is processing the incoming data before it goes to the chatbot. This process helps them to find logic in the conversation so it can provide the perfect outcome.
The language user interface is knowledge-based, written by humans, and in other words, the source who inputs the data is human.
Final Thoughts with ChattyPeople
Chatbots have various uses in business today from:
- Customer Support
- Virtual Assistant
- Marketing Guru
- Data Analysis
- The list keeps growing
When we say AI, we are implying of the “behind the scene” feature, Machine Learning, the core of Artificial Intelligence. The combination of Artificial Intelligence and Natural Language Processing has helped to achieve the conversational chatbot as we know it today.
Even so, NLP today is based on human input, and that will change shortly. With cloud-based technological advancements, the creation of one mind for all chatbots will soon be created. And with this mind, human input will be reduced.
Use our platform at ChattyPeople and build your chatbot for your business. There is no need for coding, and it’s easy to use.
Posted by Slobodan S.