You’re a data engineer or ML scientist. You architect models that need to generalize across unique customer environments including fraud detection, healthcare diagnostics and HR forecasting. But too often you’re held back, not by architecture, not by compute, but by the data itself. Your training sets? Synthetic or sampled proxies that fail to capture true... The post Your Best AI Models Deserve Real Customer Data – Without the Liability Risk appeared first on Duality Technologies.
