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.

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Trusted globally by leading enterprises

Are you getting the most
out of your data and AI?

Expectation

37% Expected growth rate of AI between 2023 and 2030
72% of execs see AI as the main business advantage
20%. of EBIT generated from AI by high-performers in AI

Reality

  • risk

    AI models and agents producing unreliable outputs

  • compliance

    No governance for the data feeding your AI

  • data-chaos

    Data scientists spending more time cleansing than building

  • transformation

    Data drift silently degrading model performance

  • cleansing

    Repetitive, manual data prep slowing every AI initiative

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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

Data collection
Data collection

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.

Data cleansing
Data cleansing

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.

Deployment & monitoring
Deployment & monitoring

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

  • Ataccama Data Quality for governed AI & model training

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.

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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.

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What our customers say

Daniel West
t-mobile

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.

Daniel West Data Management Lead, T-Mobile
Explore all the
Ataccama
features
Learn more about our capabilities for data quality for governed AI
Data Quality Dashboard

See the platform in action

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