Achieve fast, accurate AI Outcomes while reducing risk
Get a complete understanding of your data through insights into data attributes like age, access, risk, and ROT to lower AI costs, achieve faster more accurate results, and reduce risk.
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Enhance the Security, Efficiency, Quality and Confidence of your AI Output
Improve the Accuracy of Your AI Output
Insights into the makeup of your data like access, age, and ROT help you easily identify and weed out irrelevant data that could skew your AI models.
Protect Sensitive Information & Be Compliant
Identify your sensitive data, segregate that data, and take appropriate actions to protect it like: masking it, controlling how it’s processed, or quarantining it from AI models all together
Achieve Defensible Models
Not understanding the data you’re pushing into your AI models can create problems if you’re asked to defend your models. Our insights allow you to create a blueprint of your data and the sources.
Reduce Spend on AI Hardware & Compute
Minimize the amount of data being pushed to costly AI hardware by focusing on only recent, relevant data to significantly reduce the costs of training and running expensive GPU models..
Remediate Aged & Stale Data, Focus on New Data
Enterprise AI tools are only as powerful as the data used to train them. Ensure your expensive AI platforms are only learning from the newest, most relevant data so they can deliver the best, most accurate output to inform strategic decision making.
Prioritize Valuable, Relevant Data to Train AI Models
Not all data is created equal. Bad data input can skew the models and result in unreliable, inaccurate AI output. Classifying data by its business value helps organizations identify critical data that drives successful outcomes while ignoring “noise” like redundant or trivial files. Doing so reduces drains on human capital and technology resources to avoid cost overruns and invalid results.
Ensure Appropriate Handling of Sensitive Data
Sensitivity-based classification is crucial for safeguarding electronic records, complying with data protection regulations, and eliminating the risk of inadvertent breach exposure. Identify sensitive or risk data, which needs to be quarantined and/or masked from AI paired with the ability to ingest data to redact or take appropriate action on sensitive and risk data.
Data Classification & AI Whitepaper
This paper discusses the importance of implementing data classification software to organize data based on age, value, and sensitivity – the benefits it brings, and the considerations for successful implementation.
