Palantir technologies inc. (20240273062). DATA DELETION SYSTEM AND METHOD simplified abstract

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DATA DELETION SYSTEM AND METHOD

Organization Name

palantir technologies inc.

Inventor(s)

Rahij Ramsharan of London (GB)

Alexis Daboville of London (GB)

DATA DELETION SYSTEM AND METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240273062 titled 'DATA DELETION SYSTEM AND METHOD

The patent application describes an apparatus and methods that receive input describing a retention policy, evaluate datasets against the policy to identify deletable data elements, and then delete those elements from a data store.

  • The technology involves receiving input on a retention policy.
  • It evaluates datasets to determine deletable data elements.
  • Deletable data elements are then removed from a data store.

Potential Applications: - Data management systems - Compliance with data retention regulations - Streamlining data storage processes

Problems Solved: - Efficient data management - Compliance with retention policies - Reduction of unnecessary data storage

Benefits: - Improved data organization - Cost savings on storage - Enhanced compliance with regulations

Commercial Applications: Title: Data Retention Policy Automation Technology This technology can be used in industries such as finance, healthcare, and legal services to automate data retention policies, ensuring compliance and efficient data management.

Questions about Data Retention Policy Automation Technology: 1. How does this technology improve data storage efficiency? This technology streamlines the process of identifying and deleting unnecessary data elements, reducing storage costs and improving organization.

2. What industries can benefit the most from this technology? Industries with strict data retention regulations, such as finance and healthcare, can benefit greatly from this technology.


Original Abstract Submitted

apparatus and methods receive input descriptive of a retention policy; evaluate one or more datasets against the retention policy to determine one or more deletable data elements in the one or more datasets; and delete the one or more deletable data elements from a data store.