Classify data faster and more efficiently, with Smart Data Sampling
Classify data faster and more efficiently, with Smart Data Sampling
The Top Choice for Innovative Companies
Cut the Cost and Timeline of Classification
When you need to “deep dive” to classify all the data in a critical data source, Smart Data Sampling obtains a 100% core data result with a sample size of only .5-50%. Rather than let the competition use lengthy full scans on more data sources than are necessary, Smart Data Sampling makes them need-only, preserving your privacy goals while drastically reducing costs and work hours.
Cut the Cost and Timeline of Classification
When you need to “deep dive” to classify all the data in a critical data source, Smart Data Sampling obtains a 100% core data result with a sample size of only .5-50%. Rather than let the competition use lengthy full scans on more data sources than are necessary, Smart Data Sampling makes them need-only, preserving your privacy goals while drastically reducing costs and work hours.
Unlock Flexibility and Privacy Purpose
Classify data in systems based on what’s necessary for privacy. The instant context-driven classification of MineOS AI is great for standard SaaS tools, while more complex data sources or those processing more sensitive data can now be scanned accurately with a preference for either speed (Smart Data Sampling) or governance (full scan - thorough enough to enable data policies).
Unlock Flexibility and Privacy Purpose
Classify data in systems based on what’s necessary for privacy. The instant context-driven classification of MineOS AI is great for standard SaaS tools, while more complex data sources or those processing more sensitive data can now be scanned accurately with a preference for either speed (Smart Data Sampling) or governance (full scan - thorough enough to enable data policies).
G2 names MineOS a leader across 7 categories
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Ready to build your own autonomous kingdom?
Ready to build your own autonomous kingdom?
