Intuit had the classic machine learning dilemma – how to deploy great ideas at scale? Their data scientists were wearing many hats as architects, developers and engineers while managing infrastructure limitations. It was inefficient and slow, especially while trying to accommodate dramatic volume increases during tax season.
By partnering with AWS, Intuit was able to train machine learning models quickly and cut the time to deployment by 90 percent.
Watch this short presentation by Nhung Ho, Head of Data Science at Intuit Quickbooks, to see how they’ve enabled machine learning success by reducing unnecessary dependencies.
