Two of the biggest buzzwords to cross from the world of computer science and technology startups are “machine learning” and “artificial intelligence.” Throw in “deep learning,” and we’ve got the start of a great game of buzzword bingo. While these terms are closely linked, and are often used interchangeably, they aren’t quite the same thing.

Download this white paper by Moogsoft Chief Scientist Dr. Robert Harper to learn the difference between them, and how they related to each other, then dive deeper and explore the differences between supervised and unsupervised machine learning, and how they drive algorithmic logic and decision making.

Finally, how to best apply machine-learning algorithms to the problems that ITOps teams face in modern network environments, and how Moogsoft AIOps is uniquely positioned to address the pain points most commonly reported by IT operators — alert volume and fatigue.