Whenever you visit our websites, information may be collected using cookies and similar tools to improve your user experience and to enhance the performance of the website.
Closing this message means you accept the use of cookies.

 
  • Report details
  • 4 Figures
  • 0 Tables
  • Abstract
  • Overview
  • Analysis
  • Conclusion
Research Brief: Aesthetic Synthetic: Overcoming Data Quality and Data Privacy Concerns with Synthetic Data
Dec 11, 2023
by Mike Leone, Christian Perry
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.
 
Page Count: 4
Table of Contents
  • Abstract
  • Overview
  • Analysis
  • Conclusion
Categories
+ show more
Mike Leone
Principal Analyst, AI Software and Services
Christian Perry
Principal Research Director
To the Top
Other Users Also Viewed
Research Brief: Infrastructure Strategies Take Center Stage as Organizations Rally Around AI
Dec 11, 2023
The artificial intelligence movement over the last several years has been enabled by the exponential growth in computing power, data, algorithms, and use cases. As AI is increasingly integrated across industries, AI infrastructure decisions have beco…
Research Brief: Charting the Course of AI Adoption: Ambitions and Barriers
Dec 11, 2023
Research Brief: The Rise of Business Stakeholders in AI Decision-making
Dec 11, 2023
Research Brief: Closing the AI Time-to-value Gap: Measurable Metrics and Realized Impact
Dec 11, 2023
Research Brief: AI and Sustainability Lock Horns as Organizations Accelerate AI Infrastructure Purchases
Dec 11, 2023