US Bank CMO Michael Lacorazza on creating AI avatars of key target customers to capture insights and inform ad creative.

According to Gartner, “By 2026, 75% of businesses will use generative AI to create synthetic customer data, up from less than 5% in 2023.” Why is this important?

This article was originally published on ARPU. View the original post here. This week, SandboxAQ, an artificial intelligence startup spun out of Alphabet and backed by Nvidia, released a trove of ...

Synthetic data tools can generate realistic datasets where no production data exists, simulate a database based on patterns in existing databases, or automatically mask PII, including that ...

And banking giant JPMorgan Chase wants to make sure that its data stays as balanced as possible. The company is seeking to patent a system for “generating fair synthetic representative data ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois ...

CANADA – Data collection and sentiment analysis firm RIWI Corp has launched synthetic data generation capabilities. The tool uses RIWI’s Random Domain Intercept Technology (RDIT) and its sample hub to ...

DataDiggers said synthetic insights should not be treated as a substitute for traditional data collection but that synthetic approaches offer a tool for ‘early-stage exploration’ and testing ...

By combining artificial intelligence with automated robotics and synthetic biology, researchers at the University of Illinois Urbana-Champaign have ...