Data quality for governed AI & model training
Trust your data so you can trust your AI. Ensure the data feeding your models and agents is reliable, governed, and AI-ready.
Are you getting the most
out of your data and AI?
Expectation
Reality
To be exceptional in AI, you need to be exceptional in data quality
See the end-to-end data quality process for ML model development
Speed up data collection
Publish trusted, AI-ready datasets to a central data catalog with quality checks already in place.
Easily discover datasets, understand their contents and quality, and identify data owners.
Eliminate repetitive data cleansing
Monitor critical data assets and source data. Catch and remediate issues early, and maintain baseline data quality for ML training data.
Prevent recurring issues from happening with data validation placed at entry points.
Cleanse data efficiently when necessary with a clear view of invalid records.
Catch data drift early
Implement continuous data quality checks for monitoring incoming model data. Get alerts on DQ issues, AI-detected anomalies, freshness problems, and PII exposure risks. Investigate with unified lineage rich in metadata overlays and get to root cause faster.
See it in action
Why Ataccama for governed AI
Unified platform for data discovery and quality
Unified data trust for AI. Discover, assess, and trust the data feeding your models and agents in one platform via connected and efficient workflows.
Scale with the
ONE AI Agent
Your digital data steward auto-generates DQ rules, detects anomalies, and recommends fixes. Write rules once and apply them anywhere across your data estate.
What our customers say
Other vendors are transactional in their behavior. With Ataccama, there’s a genuine belief of shared responsibility of success that we feel within T-Mobile.
Ataccama
features Learn more about our capabilities for data quality for governed AI
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Tailored for your industry
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