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How AI and Machine Learning Can Bring Quality Improvements in Biopharma

Artificial intelligence (AI) and machine learning (ML) are easily confused, but it is crucial to recognize the fundamental difference between them. AI refers to prebuilt products that identify patterns based on human behavior around recognition and decision-making that utilize those patterns to enable platforms to answer questions, provide relevant information, or perform requested tasks. ML, meanwhile, employs mathematical algorithms to predict activities or outcomes based on data. ML is a subset of AI, meaning that although all ML derives from AI, not all AI is based on ML.1