AI and Machine Learning on AWS : Confessions of a Data Scientist

If the 21st century has taught us anything, it’s that data is our most valuable resource. Using insight-driven innovation, data is helping solve huge challenges across every industry.

As this world of data has developed, data scientists are transforming humanity’s future with ones and zeroes. As always however, a professional is only as good as their tools. More machine learning happens on AWS than anywhere else, with over 100,000 customers choosing AWS for its powerful compute, high-speed networking, and scalable storage options for any ML project or application.

With access to managed, modular services like Amazon SageMaker, a full suite of pre-trained AI Services—plus the ability to create a fully customizable AI/ML stack—customers use AWS to deploy models faster, improve productivity, reduce costs, and much more.