For more than 20 years, Amazon has invested in experimenting and deploying AI at scale. Dan Mbanga explores how accelerating AI experimentation has influenced innovations such as Amazon Alexa, Prime Air, and Go and how developers and data scientists from startups to large-scale enterprises have benefited from this innovation.
This keynote is sponsored by Amazon Web Services.
Dan Romuald Mbanga is a global lead business development manager at AWS, where he leads business and technical initiatives involving Amazon AI platforms such as Amazon SageMaker, designed to provide end-to-end machine learning environments for AWS’s customers. He helps AWS customers in all GEOs, as well as internal AWS stakeholders across data science, product development, marketing, sales, and technical support achieve success with AWS’s machine and deep learning technologies. Previously, Dan was a big data and DevOps engineering manager at AWS, where he built and led two teams of specialized engineers on the Hadoop ecosystem and in CI/CD technologies. Dan holds BS degrees in physics and computer science from the University of Buea. In his spare time, he enjoys traveling, hacking hardware electronics, and learning new languages.
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