STP03: Leveraging Amazon SageMaker to Drive Rapid Innovation - a podcast by AWS

Too often, data scientists build potentially high-impact models that never see the light of day due to deployment obstacles. At Convoy, data science is at the core of its trucking network product, so building a robust, frictionless platform to deploy models is critical to the company's success. To minimize the code needed to transition from training a model locally to deploying the same model in production, the company adopted Amazon SageMaker to push various models to production-ready endpoints. In this talk, Convoy's data science director, David Tsai, reviews Convoy's Amazon SageMaker architecture and highlights how it has enabled them to drive meaningful impact.

Further episodes of AWS re:Invent 2018

Further podcasts by AWS

Website of AWS