Deep Learning

Deep learning is a type of machine learning that uses neural networks with many layers to detect complex patterns in data. Each layer learns progressively more abstract representations — from raw pixels to edges to shapes to objects, for example. This layered structure is what makes deep learning capable of processing unstructured data like images, audio, and natural language at a level that earlier methods couldn't match. It underlies modern speech recognition, image classification, language models, and generative AI.

More complex isn't always better. Deep learning demands significantly more data, compute, and specialized expertise than traditional machine learning methods — and it produces models that are harder to explain. For structured business problems with modest data volumes, simpler statistical or rules-based approaches are often cheaper, more interpretable, and equally effective. Approving a deep learning proposal without asking whether the complexity is justified by the problem is how organizations end up with expensive, opaque models where a decision tree would have served just as well.