Financial Services Guide to Data Acceleration Technologies

This guide provides an overview of data acceleration technologies relevant to financial services. It explains the challenges financial firms face in processing large volumes of documents and how machine learning can automate data extraction and classification. The document details three key technologies: Computer Vision (CV), Optical Character Recognition (OCR), and Natural Language Processing (NLP). Each technology is defined and its role in enhancing data processing is outlined. For instance, CV enables models to interpret document structures, while OCR allows for the reading of text from images, converting it into a machine-readable format. NLP further assists in understanding the context of the extracted data. The guide emphasizes the importance of these technologies in automating workflows and improving efficiency in handling diverse document types within the financial sector. It concludes with a discussion on the potential of these technologies to streamline operations and reduce human intervention in document processing.