AWS Looks to 'Demystify' Machine Learning

Amazon Web Services used a big data conference in the backyard of some of its largest government customers to showcase its AI and machine learning tools that are helping to funnel ever-larger volumes of data into its storage and computing infrastructure. Making a pitch for better data management tools like metadata systems, AWS executives addressing a big data conference in Tysons Corner, Va., said the the public cloud giant aims to go beyond democratizing big data to "demystify" AI and machine learning. The combination of organized data and analytics will accelerate the building and deployment of machine learning models, many that currently never make it to production. Those that are deployed often require up to 18 months to roll out, noted Ben Snively, a solution architect at AWS (NASDAQ: AMZN). Open source tools for model development often advance a generation or two in the time it takes many enterprises to develop, train and launch a machine learning model, he added.