DiscoverAmazon Web Services: AWS re:Invent 2017 Breakout Sessions | ContainersAWS re:Invent 2017: Optimizing Payments Collections with Containers and Machine Lear (FSV305)
AWS re:Invent 2017: Optimizing Payments Collections with Containers and Machine Lear (FSV305)

AWS re:Invent 2017: Optimizing Payments Collections with Containers and Machine Lear (FSV305)

Update: 2017-12-05
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The Bank of Nova Scotia is using deep learning to improve the way it manages payments collections for its millions of credit card customers. In this session, we will show how the Bank of Nova Scotia leveraged Amazon EC2 Container Service and EC2 Container Registry and Docker to streamline their deployment pipeline. We will also cover how the bank used AWS IAM and Amazon S3 for asset management and security, as well as AWS GPU accelerated instances and TensorFlow to develop a retail risk model. We will conclude the session by examining how the Bank of Nova Scotia was able to dramatically cut costs in comparison to on-premise development.
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AWS re:Invent 2017: Optimizing Payments Collections with Containers and Machine Lear (FSV305)

AWS re:Invent 2017: Optimizing Payments Collections with Containers and Machine Lear (FSV305)

Amazon Web Services: AWS re:Invent 2017 Breakout Sessions | Containers