High-Quality Training Data to Help Maximize Your Investment in Artificial Intelligence
Securely & Efficiently Label Your Most Complex & Sensitive Data
From banking to insurance, financial services companies are investing in machine learning and artificial intelligence to meet their business goals, but the data needed to power AI presents a serious challenge. In order to produce actionable and effective insights, AI and machine learning models require clean, accurate and useable data.
That’s where Innodata comes in.
We help you save time and money by combining deep subject matter expertise with AI to deliver high-quality annotated datasets to train your machine learning models.
Meet an Expert
“While data is often referred to as the “new oil”, expertly labelled and annotated data is actually the most precious commodity.”
Darian Schwartz- VP, Financial Data Solutions
Darian has extensive industry knowledge and experience in helping top financial leaders execute large scale, global NLP projects. Using an individual approach, Darian helps clients develop and implement custom data engineering strategies that are specifically tailored to their needs.
Innodata Creates Training Data for Leading Financial Services Companies
Data Annotation Services to Help Enhance Key Initiatives
Innodata provides data annotation and labeling services to meet a variety of needs within the financial services industry:
Regulatory Risk Management
Aggregating SEC law and regulatory information from global web sources, our paralegal experts create high-quality, labeled regulatory datasets.
Extract metadata like rules, trader chats, control posture from legal and regulatory documents to automate compliance management to drive reduced risk.
Wealth Management & Trading
Leveraging highly accurate annotation, deep learning algorithms can be applied to analyze large corpora of data to enhance trading strategies.
Streamline false positives and detect malicious patterns through systems built with annotated datasets.
Train your chatbots or virtual assistants to better understand intent and utterances to enhance customer experience.
Entity & Relationship Identification
Identify links between named entities in a document, such as individuals, organizations, facilities, locations, etc.
Financial Services Success Stories
We help some of the world’s leading financial institutions solve their toughest data challenges.