Artificial intelligence has altered the way businesses use data. The problem is that many people still don't comprehend the differences between AI technology types and the distinct advantages they offer. Despite their distinctions and specialized use cases, the phrases machine learning, machine reasoning, and AI are frequently used interchangeably. Most significantly, individuals frequently misinterpret the crucial distinction between machine learning and machine reasoning, that is, identifying patterns vs comprehending relationships. Each has a specific function in the analytical process and, while they are distinct, are equally crucial in extracting the greatest value from the other.

Since ancient times, humans have been interested in finding systematic approaches to reasoning and logical thinking. Now, we want to make machines "think" like us and endow them with the reasoning ability that, unfortunately, we don't quite understand ourselves. But, why do we need machines that can deconstruct truths and validate reasons like we do? One of our most recent AI-related posts discusses the story of an AI system that can detect skin cancer more accurately than dermatologists. No doubt, this is big a deal in that an early diagnosis is one of the most effective methods for providing successful cancer treatments.