MMM isn't a replacement for all attribution, but it is a powerful strategic layer that can restore clarity to marketing ...

AI-enabled analytics are transforming healthcare from static data to real-time insights. A driving force behind this shift, Kiran Veernapu is modernizing systems to improve patient outcomes and ...

Even a wrong answer is right some of the time AI models often produce false outputs, or "hallucinations." Now OpenAI has admitted they may result from fundamental mistakes it makes when training its ...

Critical Manufacturing showed how its MES, Connect IoT and IoT Data Platform software can untangle chaotic shop floor data to ...

Abstract: Traffic data contains deep domain-specific knowledge, making labeling challenging, and the lack of labeled data adversely impacts the accuracy of learning-based traffic analysis. The ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...

Abstract: Data augmentation (DA) can significantly strengthen the electroencephalogram (EEG)-based seizure prediction methods. However, existing DA approaches are just the linear transformations of ...