In situations where data for the target domain are not accessible, a viable workaround is to synthesize training data from scratch, i.e., synthetic data augmentation.

Synthetic Data Generation. Synthetic data generation involves creating entirely new datasets using techniques like 3D rendering. This is particularly useful in applications like autonomous driving ...

This may involve reskilling existing staff, hiring data scientists and AI specialists, and providing opportunities for continuous learning,” Zamanian writes. Many managed service providers use AI to ...

A new forecast by Gartner suggests that decision support by artificial intelligence will give businesses a big boost in the next six years. It'll become the most valuable use of AI for businesses.

While advances in artificial intelligence have been slow to reach commercial P&C insurance, new trends in data augmentation could help pick up the pace, according to experts on a recent Insurtech ...

In the past year, Georgia Tech researchers Vidya Muthukumar and Eva Dyer have made a powerful impression on the National Science Foundation (NSF), forging partnerships between their labs and the ...

Applications Of Data Analytics In Finance• Risk Management: Data analytics plays a critical role in assessing and mitigating risk. By analyzing historical data and real-time market information, ...