Predictive Analytics using Amazon Web Services
Sanjay Padhi, Ph.D., Head of AWS Research, US Education
Predictive analytics is a set of techniques that are fundamental to large organizations like Amazon. Methods such as Machine Learning are used in many aspects of life, including healthcare, education, and financial modeling. This talk will provide a range of studies using predictive analytics including a detailed overview of methods such as Machine Learning (ML) and Deep Learning using AWS. Fully managed Artificial Intelligence services to help researchers build, train and deploy ML models in various domains including Computer Vision and Natural Language Processing will also be outlined. Supervised, unsupervised and reinforcement learning based frameworks and their implications in the fields of scientific computing, medical imaging, cancer detection, diabetic retinopathy, and voice-enabled solutions to improve management of chronic diseases will be discussed. Advancements in Quantum Computing technologies fostering innovations will also be highlighted. The AWS Research Initiatives with funding agencies such as the National Science Foundation and National Institutes of Health in scientific and biomedical sectors, as well as the AWS research credit program will be outlined.