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Solutions
Embeddings for
Data Scientists
Use your Kumo Graph and Predictive Queries to generate high-quality bespoke vector embeddings for every entity in your business, including customers, suppliers, content, transactions, etc. In other words, vectorize your enterprise!
Without any ML expertise required
- Use predictive queries to create state of the art GNN-powered vector embeddings that are purpose-built for the downstream ML problem you want to solve
- Generate embeddings using multiple predictive queries jointly (multi-task learning) to improve their latent signal
- Replace your dozens of complicated, brittle, and hard to manage feature engineering pipelines with a single pipeline that just updates your Kumo Graph and then retrieves the latest embeddings
- Powered under the hood by the leading framework for graph deep learning, Pytorch Geometric
Downstream workflows turbocharged
- Detecting anomalous activity
- Ad-targeting, personalization, and information retrieval
- Finding similar/duplicate user-generated content
- Clustering and segmentation of customers, merchants, etc.
- Impute missing data and otherwise improve enterprise data quality
Representative workflow
