AI For Banking
From customer experience to cybersecurity, Snorkel Flow provides banking innovators with a data-centric platform to build custom AI applications powered by programmatic data labeling.
Case Study —
Fortune 50 Bank Develops News Analytics Using Snorkel Flow
A Fortune 50 US bank needed to identify various companies' mentions by role and sentiment in unstructured news. Black-box applications and inflexible, low-performing models stunted the project. With Snorkel Flow, the bank built a news analytics application that achieved:
News articles labeled in minutes
Snorkel AI is leading the shift from model-centric to data-centric AI development to make AI practical.
Save time and costs by replacing manual labeling with rapid, programmatic labeling.
Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data.
Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets.
Version and audit data like code, leading to more responsive and ethical deployments.
Incorporate subject matter experts' knowledge by collaborating around a common interface–the data needed to train models.
Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.
AI Solutions For Banking
AI applications built using Snorkel Flow can boost revenues through increased personalization for customers and employees, and lower costs through efficiencies generated by higher automation, reduced errors rates, and better resource utilization.
Cyber Risk Management
Know Your Customer (KYC)
Case Study —
Big Four US Bank Builds Financial Spreading using Snorkel Flow
A Big-4 US bank wanted to extract financial line items from company statements. With Snorkel Flow, the bank built financial spreading application with custom-trained ML models to parse textual data with spatial context and achieved:
Of hours of manual labeling time saved
A Radically New Approach to AI
With Snorkel Flow
With Conventional Approaches
Case Study —
Top US Bank Develops Contract Intelligence using Snorkel Flow
A top-3 US bank wanted to classify and extract contract information using a custom-trained model. With Snorkel, they developed a contract intelligence AI application with 99% accuracy in <24 hours.
The only AI platform that lets you label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly.