Case Study: a major Canadian commercial bank accelerates conversational AI training with Innodata

One of Canada’s Largest Commercial Banks accelerates conversational AI data pipelines with Innodata using double-pass annotation

Innodata was engaged by one of Canada’s largest commercial banks, which needed a flexible data annotation partner for a series of one-off projects. The challenge involved handling diverse, banking-related data for different models, where high accuracy, security, and compliance were critical for success.

The solution implemented by Innodata utilized its AI-enabled platform and in-house subject matter experts to complete projects including classification, paraphrasing, and validation. A double-pass annotation process with an arbitrator ensured high accuracy. As a result, Innodata helped the bank enhance and accelerate its ground truth data pipeline, leading to a more articulate and responsive chatbot that increased customer satisfaction. The client also appreciated Innodata's confidentiality, high-quality standards, and local language annotators.