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The term ‘AI’ encompasses many different technologies and capabilities Jargon Demystified in AI and ML Artificial Intelligen ce Machin e Learnin gData Scienc e Deep Learnin g Statistics & BI AIML What is AI-ML? AI-ML stands for Artificial Intelligence and Machine Learning. AI is a technique...

The term ‘AI’ encompasses many different technologies and capabilities Jargon Demystified in AI and ML Artificial Intelligen ce Machin e Learnin gData Scienc e Deep Learnin g Statistics & BI AIML What is AI-ML? AI-ML stands for Artificial Intelligence and Machine Learning. AI is a technique of building machines that can learn and understand from experience, while ML is an application of AI that allows machines to automatically learn and improve from experience without being explicitly programmed. What is Machine Learning? Before we dive deeper into the applications of ML in pharma manufacturing, let's define what this technology actually is. Machine learning is a subset of artificial intelligence that allows machines to automatically learn from data, without being explicitly programmed. Supervised ML Unsupervised ML Reinforcement ML Trained on labeled data to Trained on unlabeled data to Trained through trial and error predict new similar data. find patterns and relationships. to maximize rewards for certain actions. In the bioprocessing industry, parts or all stages of the data analytics continuum are applicable. In early-stage development, advanced data analytics is used to compare batches, for example, to figure out how to modify cell expansion steps so that they lead to higher cell densities and product titers. In latestage development, advanced data analytics is used when scaling-up manufacturing processes to verify comparable performance at different scales. And in full production, advanced data analytics is used for real-time bioprocess monitoring and early fault detection of batches deviating from good, normal operating conditions Humans Vs AI-ML models COMPUTER VISION NLP Key factors driving AI-ML BIG DATA GPU Another technology that helped modern day ML