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When to Use Synthetic Data
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Manufacture/Distribution
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Training dataset for testing
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Newly created process
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Past data is not available
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Deeper insights through augmented data
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Finance
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Detect financial fraud
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More consumer marketing data
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A large amount of de-identified data
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Healthcare
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Health Data for Analysis
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Data Augmentation for Disease and Pharmaceutical Research
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Does not contain patient's personal information
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In addition
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System Testing
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Test a new system where no live data exists
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Training ML Models
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When data doesn’t exist
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When edge cases don’t exist
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When data is biased
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Analytic Sandbox
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Trial analytics products on private, balanced synthetic data
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Protecting Privacy
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When real data can’t be used, can’t be shared or can’t be moved
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Build product demos with realistic data
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High quality synthetic data (SOTA)
Changes appearance, keeping medical information(acne) intact
Changes room style based on user choice -
Differential Privacy
Converts images to protected format
Adversarial AI yields low-quality outputs -
Non-access to the original data
Generates de-identified synthetic data
Adversarial AI fails to extract personal info
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LLM CAPSULE
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Large language model equipped with security technology
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ChatGPT + Sensitive information protection tech
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Company introduction
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CUBIG Overview
CUBIG is an innovarive company specializing in advanced artificial intelligence (AI) technology and data security solutions.
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CUBIG History
CUBIG, founded in 2021, has been at the forefront of integrating advanced AI technologies with cutting-edge data security solutions.
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We are Hiring
CUBIG actively seeks individuals who are eager to build global competitiveness through innovative technologies. We look forward to leading the future together and achieving successful outcomes.
Read latest news
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Intellectual Property Rights
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More than 20 patent applications and registrations related to core AI technologies
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Over 20 ongoing AI research projects.
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Presented over 30 domestic and international papers/abstracts.
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