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On Premises vs. Cloud: A Brief Primer on Hosting

Pure Storage

Cloud hosting means placing compute resources—such as storage, applications, processing, and virtualization—in multi-tenancy third-party data centers that are accessed through the public internet. Connectivity might be through a private network locally, as well as through the public internet for dispersed users.

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What Is AMI Data and How Can Utility Companies Benefit from It?

Pure Storage

Cloud Computing Cloud computing provides the necessary scalability for storing and processing the vast amounts of data generated by AMI 2.0. It allows utilities to access and analyze data from multiple locations without the need for extensive on-premises infrastructure. These systems use data from AMI 2.0

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Data Privacy Awareness Month 2024: Roundup of Expert Quotes

Solutions Review

Two other easy steps to better your data privacy are to limit the amount of email newsletters you sign up to and terminate or deactivate old and unused social media profiles to give attackers fewer opportunities. data integration tools capable of masking/hashing sensitive data, or detecting/excluding personal identifiable information). .

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Data Privacy Day 2024: The Definitive Roundup of Expert Quotes

Solutions Review

Two other easy steps to better your data privacy are to limit the amount of email newsletters you sign up to and terminate or deactivate old and unused social media profiles to give attackers fewer opportunities. data integration tools capable of masking/hashing sensitive data, or detecting/excluding personal identifiable information). .

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Data Privacy Day 2025: Insights from Over 50 Industry Experts

Solutions Review

Beyond redaction, AI can support pseudonymization, generalization, and data masking, converting sensitive data into formats that maintain utility while protecting privacy. Continuous improvements in LLMs allow these systems to adapt to emerging patterns and threats, ensuring data integrity and privacy.

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Data Privacy Week 2025: Insights from Over 60 Industry Experts

Solutions Review

Beyond redaction, AI can support pseudonymization, generalization, and data masking, converting sensitive data into formats that maintain utility while protecting privacy. Continuous improvements in LLMs allow these systems to adapt to emerging patterns and threats, ensuring data integrity and privacy.