Should I use AI or ML in my solution?

Concepts and Definitions

Technical Questions

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. AI, or artificial intelligence, is a term that defines a broad category of intelligence – much of which is still highly experimental, or even still solely theoretical. But one component of AI is ML, or machine learning, which is a mature technology that is already in use in thousands of applications across hundreds of industries. And is something that you would often find as part of an IoT solution. As to whether you should use it or not, the real answer is “it depends.” Machine Learning is not a magic bullet or ingredient. Machine learning is a technology like any other that, in certain applications, can add a tremendous amount of value to the solution. And in other cases, it has no place in the solution. We have experience using machine learning. We will look at machine learning as a possible element of your solution when it makes sense to do so. But we have no vested interest in whether we include ML in your solution or not.


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