Persistent Systems Machine Learning Models Now Available on Amazon Web Services

Persistent Systems LimitedPersistent Systems , a global software and technology developer, and an Advanced Consulting Partner in the Amazon Web Services (AWS) Partner Network, will unveil the first ten Machine Learning (ML) models it has published on AWS Marketplace for Machine Learning. Using Amazon SageMaker, the company has built the models across a variety of domains that include Healthcare, Financial Services, Manufacturing, Astronomy and Smart Cities as well as variety of data types that include image, text and structured data. Some of the models are Breast Cancer Classification, Banking FAQ Intent Matching, Ball Bearing Quality Inspection, Galaxy Classification, and Parking Lot Occupancy Identification.

An example of an organization benefiting from ML is SCIEX, whose mission is to help improve the world we live in by allowing scientists and laboratory analysts to find answers to the complex analytical challenges they face. The company’s global leadership and world-class service and support in capillary electrophoresis and liquid chromatography-mass spectrometry industry have made it a trusted partner to the thousands of scientists and lab analysts worldwide who are focused on basic research, drug discovery and development, food and environmental testing, forensics and clinical
research.



About Persistent Systems:

Persistent Systems builds software that drives the business of our customers; serving software product companies and enterprises with software at the core of their digital transformation.

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