Leverage your Historical Data for AI
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Does your Data Archive have Full Fidelity for AI?
You need to build a data foundation for AI readiness
Data is the food AI needs to function. Businesses are rapidly deploying their legacy data for machine learning, but data accessibility issues are building errors into the AI models.
If the AI cannot read the data, or the data is missing context, it will not achieve the results IT leaders are hoping for. You need a unified data view with full fidelity for analytics and machine learning models.
How does data accessibility impact your AI readiness?
- legacy databases or even current systems may be incompatible with the AI software
- old, siloed databases or storage containers may be entirely inaccessible to users, and therefore to the AI
- AI won't reconcile data it can access with data it cannot see
- Data archives that alter the data structure to fit the platform erase the historic context
- AI cannot reliably recreate the missing context
DataNovata helps you build an AI-ready data foundation
- Brings inaccessible data into an accessible archive
- Preserves the full fidelity of the data with the original schema, metadata and relationships
- Creates a unified view of data history
- Provides an integration path for multiple siloed databases
- Helps to map data to support AI
- Is fully accessible and readable to your AI software
- has privileged access to regulate data exchange between storage systems and AI models to safeguard privacy.