Future of AI in Business: Adaptive Machine Learning Models that Evolve and Improve Over Time Without Expensive Retraining
, Accern
Learn about adaptive machine learning and why it's essential for systems that continuously process new data in fields including healthcare, finance, logistics, retail, and politics. Often, once a model is deployed in production, performance decays occur, or the model has to be retrained due to data-drift. Adaptive machine learning models solve this by systematically applying new learnings to result in better predictions and more useful business processes. We'll cover the difference between adaptive machine learning and the broader umbrella of AI, why adaptive machine learning is critical in various fields including examples of business applications, considerations for organizations interested in using AI with adaptive machine learning such as scale, costs, timing, and resources, and empirical evidence showing where and how adaptive machine learning models outperform traditional models.