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Case Study

Predicting Treasury Settlement Failures with ML

BNY Mellon’s Government Securities Services (GSS) business is the sole provider of treasury settlement services in the United States of America. Given its unique market position, GSS is exploring how to help clients improve their forecasting of $70+ billion in daily settlement fails leveraging Google Cloud.

Sarthak Pattanaik, Chief Information Officer, Clearance and Collateral Technology, The Bank of New York Mellon and Victor O’Laughlen, Digital Business Leader, Clearance and Collateral, The Bank of New York Mellon, share how they utilized Google Cloud AI solutions to predict treasury settlement failures.

They take us through the business process, the steps they took to set up their AI solution, and what they have learnt on their journey—not just from a technical standpoint but from a cultural one as well.

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TensorFlow: The Show-and-Tell Data Scientists Have Been Asking For

TensorFlow is among the most popular, if not, the most popular deep learning libraries today. According to one ranking, “TensorFlow is at least two standard deviations above the mean on all calculated metrics.” Watch as Lak Lakshmanan, Technical Lead, Machine Learning and Big Data, Google Cloud, walks through a development


Three Data Insights That Set Marketing Leaders Apart from Marketing Laggards

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Google Cloud’s AI Adoption Framework: Helping You Build a Transformative AI Capability

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