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Technology

Synthetic data

Artificially generated information that statistically mirrors real-world data, used primarily for AI model training, robust testing, and critical privacy compliance.

Synthetic data is computer-generated information designed to replicate the statistical properties and patterns of real-world data without containing any personally identifiable information (PII). This capability solves major logistical and ethical issues: it provides an on-demand, limitless supply of data for training data-hungry AI models, such as those using Generative Adversarial Networks (GANs) or Transformer models. Industries like finance use it to simulate rare fraud scenarios for anti-money laundering solutions, while healthcare uses it to accelerate drug development without violating patient confidentiality (HIPAA/GDPR). This is a high-growth sector: Gartner predicts 75% of businesses will use generative AI to create synthetic customer data by 2026.

https://www.ibm.com/topics/synthetic-data
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