In this episode we talk with MUFG Investor Services, one of the world’s leading financial services that provides holistic and customized solutions that meet operational, financial and regulatory needs of customers across the investment lifecycle.

What does it take to automate data extraction from a vast number of unstructured document formats? Listen in and find out how MUFG Investor Services is leveraging Machine Learning (ML) and natural language processing capabilities of the cloud to create a generalized data processing solution for a broad range of documents types.

Host Sara Armstrong, Sr. Manager of Worldwide Prototyping and John Dixon, Sr. Solutions Architect from AWS, speak with Evangelos Skianis, CTO for MUFG and Vasilis Sotiris, Head of Data Engineering & Strategy for MUFG, about the AWS prototyping team engagement that enabled experimentation without having to spend time on the infrastructure configuration. Get a behind-the scenes look at the architecture that combined services like Amazon Comprehend, Amazon Textract and AWS Lambda to process contextually sparse documents.

Listen on AWS, Spotify, or your favorite streaming service.