AI for telecom
Data-centric AI
to data-centric AI development to make AI practical.
Accelerated
Adaptable
Collaborative
Accurate
Governable
Private
Use cases
AI solutions for telecom
Intrusion detection
Personalization
Network optimization
Geospatial analysis
A radically new approach to AI
Conventional AI approaches rely on generic third-party models, or brittle rule-based systems, or armies of human labelers. With the Snorkel Enterprise AI Platform, programmatically labeling unlocks a new workflow that accelerates AI app development.
With Snorkel Enterprise AI Platform
Label thousands of data points
programmatically in hours while keeping your data in-house and private.
With conventional approaches
Hand labeled ML is hugely expensive, with usually no way to iterate, adapt, be privacy compliant, audit, or reuse.
Pre-trained vendor models often don’t work on your data; no way to customize, adapt, or audit.
Rules-based approaches often don’t perform well on complex data or adapt easily to data or goal changes.
- Label programmatically to solve manual labeling bottlenecks
- Continuously update and analyze models to guide development
- Adapt to real-world changes with a few clicks, not manual relabeling
Learn more
