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Wednesday, September 25 • 4:15pm - 5:00pm
Using AWS to Transform Customer Data in MongoDB into AI-driven Personalization [AWS]

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MongoDB is a popular database for many customer-centric use cases that include a single-view of the customer, and customer engagement systems involving personalization, catalogues and more. In this session, we'll explore the possibilities of AI and MongoDB. How can we extract more value from your customer-centric data in MongoDB and the Atlas data lake using machine learning (ML) on AWS?   Learn how to leverage AutoML to deliver state-of-the-art deep learning models without data science expertise to deliver recommendations, intelligent content targeting, forecasting and predictive customer insights. Enable your data scientists to integrate MongoDB, the data lake, and the data science ecosystem to accelerate ML projects using AWS's ML services.


Dylan Tong

ML Solutions Architect, AWS
My role as an AI solutions architect is to work with consulting and technology partners to create AI solutions, develop a strategy, provide technical guidance and enablement, and drive GTM activities. I'm also an MongoDB alumni (2013-2016).

Wednesday September 25, 2019 4:15pm - 5:00pm BST
Vault Old Billingsgate