Resource library

Using AI to supercharge online retail Wayfair is a Boston-based e-commerce company specializing in home goods and furniture, serving ~22M customers and partnering with ~20K suppliers. To ensure that relevant products appear in customer searches (e.g., “blue outdoor pillows”), they rely on product tags (e.g., “blue” “outdoor” and “pillow”). With over 10,000 product tags across 40 million products, creating and…

These case studies details how to apply data-centric workflows to build high-quality, governable, and adaptable AI applications.

Discover practical solutions for creating data to fine-tune LLMs and learn how to overcome the key challenges in LLM customization.

Using AI to support audit relevance and improve operational efficiency This global “big four” consulting company strives to provide its diverse team of experts with the most current and relevant accounting, auditing, and industry information. Over the last 170 years, the company has learned that to anticipate shifts in regulations and proactively help its clients adapt, it must stay up…

Extracting information from 10-Ks documents for KYC Financial institutions are obligated by government policies to carry out customer due diligence as part of customer onboarding. For example, the U.S. Department of the Treasury Financial Crimes Enforcement Network (FinCEN) requires covered financial institutions to identify and verify the identity of beneficial owners of legal entity customers as one of the measures…

Agile AI development at industrial scale Almost every Google product we use runs on AI, from Google Search and Ads to YouTube, Android, Chrome, and Google Assistant. However, Google’s AI and engineering teams faced substantial challenges when scaling topic and product classifiers. Google commonly uses these classifiers for social media monitoring, content and product recommendations, product analytics, and more. Challenge…

Scaling clinical trial screening with document classification MSKCC, the world’s oldest and largest cancer center, sought to identify patients as candidates for clinical trial studies by classifying the presence of a relevant protein, HER-2. Reviewing patient records for HER-2 is onerous; clinicians and researchers must parse through complex, variable patient data. Snorkel’s experts, using our proprietary technology, collaborated with MSKCC’s…

Providing proactive well maintenance with automated information extraction SLB is a technology company that partners with customers to access energy. The Software Technology Innovation Center (STIC), within the 85,000-person industry leader, is dedicated to using new AI/ML applications to support the company’s mission to improve the performance and sustainability of the global energy industry. One way is to streamline information…

Embodiments introduce an approach to semi-automatically generate labels for data based on implementation of a clustering or language model prompting technique and can be used to implement a form of programmatic labeling to accelerate the development of classifiers and other forms of models. The disclosed methodology is particularly helpful in generating labels or annotations for unstructured data. In some embodiments,…