Amazon SageMaker Accelerates Machine Learning Development
From sales forecasting to virtual personal assistants, machine learning (ML) has become integral to many common business processes and applications. Its power lies in enabling organizations to identify trends and patterns — many of which are imperceptible or difficult to detect by people — from large, diverse data sets. In addition, ML helps automate data analysis, significantly reducing times and costs. It’s also less error-prone, and enables organizations to deliver more personalized services and differentiated products. However, using the technology has
Read moreUsing AWS ML and AI for Smarter Medical Coding
Medical coding plays a key role in the healthcare industry. It enables both providers and payors to describe diagnoses and treatments, and to determine the associated costs and reimbursements. It’s also complicated, time-consuming, and prone to errors. A recent collaboration between ClearScale, AWS, and Creative Practice Solutions, a medical consulting firm, has yielded an application prototype to help overcome those issues. Powered by AWS artificial intelligence (AI) and machine learning (ML) services, the app translates recorded medical appointment notes
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