Insights / Research Brief / Aesthetic Synthetic: Overcoming Data Quality and Data Privacy Concerns with Synthetic Data
January 4, 2024

Aesthetic Synthetic: Overcoming Data Quality and Data Privacy Concerns with Synthetic Data

Mike Leone
Principal Analyst, Data Analytics & AI

Market Topics

Application Modernization Cloud & IT Operations Customer Experience Cybersecurity Data Analytics & Artificial Intelligence Data Management Data Platforms Data Protection End-user Computing Infrastructure Networking Operations Unified Communications & Collaboration

In an era where the effective use of AI technology can mean sinking or swimming in highly competitive business waters, organizations are laser-focused on making sure their AI models are fine-tuned and well trained to enhance their operations. But training AI algorithms on real customer data can risk compliance and privacy violations. Recent research by TechTarget’s Enterprise Strategy Group examined how organizations are using synthetic data to avoid data governance problems with AI training and whether this is delivering the anticipated advantages.

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