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.