Generative AI: Generative AI, or gen AI, is machine learning that can create original content—text, images, video, software code—in response to a user’s prompt or request. Gen AI relies on deep learning models that identify and encode the patterns and relationships in huge amounts of data, and then use that information to understand users , Artificial Intelligence and machine learning give organizations the advantage of automating a variety of manual processes involving data and decision making. By incorporating AI and machine learning into their systems and strategic plans, leaders can understand and act on data-driven insights with greater speed and efficiency., So, all machine learning is AI, but not all AI is machine learning. AI can include things like robots or voice assistants, while machine learning focuses more on learning from patterns in data to make predictions or decisions. Machine learning is the brain behind AI teaching machines to learn from data and make smarter decisions., Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. [1], “So that's why some people use the terms AI and machine learning almost as synonymous … most of the current advances in AI have involved machine learning.” AI at Work Research and insights powering the intersection of AI and business, delivered monthly., Machine learning is a subset of AI that uses algorithms trained on data to produce models that can perform those tasks. AI is often performed using machine learning, but it actually refers to the general concept, while machine learning refers to only one method within AI. Read more: Machine Learning vs. AI: Differences, Uses, and Benefits.