Conversations surrounding Artificial Intelligence (AI) and Machine Learning (ML) have been taking place for years, and it’s undeniable that they have brought about severe misconceptions and, well, drama.

Taking it back to basics, whilst ML is based on the idea that machines grow to learn and adapt through experience, AI refers to the broader idea of machines having the ability to execute tasks ‘smartly.’ AI doesn’t just apply to ML – it also covers deep learning and various other technologies designed to solve specific problems.

These technologies have been evolving for a long time; it hasn’t happened suddenly; we’re simply noticing it more, as software has become significantly smarter of late. As AI systems grow to become more powerful than ever, they invite more scrutiny, and the excitement around AI, in particular, has raised the question – is it as simple as an algorithm, or is there more to it?

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