Stricter privacy rules and larger #AI models have made gathering and labeling real, high-quality data increasingly difficult.

Because of this, synthetic data has become indispensable. Here's five ways that it’s being used ⬇️ pic.twitter.com/KjUmmumCNe

— IBM Data, AI & Automation (@IBMData) 24 avril 2023

Stricter privacy rules and larger #AI models have made gathering and labeling real, high-quality data increasingly difficult. Because of this, synthetic data has become indispensable. Here's five ways that it’s being used

→ View original post on X — @ibmdata