Machine Learning Data Pipelines for Financial Transactions

  • Posted by Wilker Amorim
  • On December 8, 2019
  • AI, Financial Services, Machine Learning, Symphony Platform

This case study demonstrates how Daitan approaches developing high volume, high-velocity data pipelines, in particular for financial transactions. The client relied on Daitan for a data science and engineering team to augment their own data scientists in the delivery of a full scope of AI services, including use case analysis, data pipeline engineering, PoC, model development and staged testing, implementation and operational deployment.

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