Synthetic data
Synthetic Data is artificially generated data that mimics real-world data in structure and statistical properties but does not originate from actual events or individuals. Created using algorithms, simulations, or generative models, synthetic data is used to train, test, and validate AI systems, especially when real data is limited, sensitive, or expensive to obtain. It helps improve model performance, preserve privacy, and accelerate development in areas like computer vision, natural language processing, and predictive analytics.
Related Insights
Where AI Investment Starts Paying Off
AI investment is accelerating, but adoption alone is not driving performance. AI World Class IT research shows how leading technology…
Making AI Pay Off in Finance
At a recent executive roundtable hosted by The Hackett Group® in London, senior finance executives from a cross-section of industries…
Talent Acquisition Vendor Assessment – Summary Report
AI and automation are reshaping recruiting, but vendor capabilities and business impact vary widely. This report assesses 12 talent acquisition…
Talent Acquisition Vendor Assessment – Full Report
Choosing the wrong talent acquisition platform can increase cost, add complexity and limit recruiting impact. The full report shows how…