Data and Analytics capabilities are evolving due to the convergence of Big Data and Artificial Intelligence, which is shaping how firms achieve business value from their existing insurmountable data.
Today, both Artificial Intelligence and Machine Learning are hot buzzwords, and they often seem to be used interchangeably. It is very common for these terms to appear together when there is a discussion about Big Data and Advanced analytics.
Hence, it is important to understand that Artificial Intelligence and Machine Learning are not the same.
Let us first understand what Artificial Intelligence is.
Artificial intelligence is the intelligence that machines exhibit. “Artificial Intelligence” refers to the process by which a machine mimics “cognitive” functions we typically associate with other humans, like “Learning” and “Problem Solving”.
What is Machine Learning?
Machine Learning (ML) involves using algorithms, making it possible for computers to learn without having to be programmed explicitly. In machine learning, complex algorithms are used to automatically learn and refine the learning process from a large amount of data and patterns. After prolonged training, these systems’ performance plateaus.
We have entered a new era of computing using machine learning and artificial intelligence where conversational interfaces and natural language processing are gaining more attention.
This boosts the potential for conversation as the new way to interact with technology.
In conversational systems, intelligent machines can understand language and converse with users either verbally or in writing. Its goal is to provide you with informed answers, assistance, and assistance in real-time through direct channel interaction.
