Tag: ml models
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The Role of Artificial Intelligence and Human-in-the-Loop in Fraud Detection
Quick Overview This blog explores how Artificial Intelligence (AI) and Human-in-the-Loop (HITL) work together to enhance fraud detection. It highlights how AI-driven systems can identify suspicious activity and anomalies in real-time, while HITL experts ensure accurate decision-making by handling complex cases and reducing false positives. Key points include: Introduction Fraud is an ever-evolving challenge in…
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The Importance of Human-in-the-Loop (HITL) Annotation in AI Training
AI models are only as good as the data they learn from! constant—data quality matters. While automation is powerful, AI alone is not enough to ensure accurate and unbiased results. This is where Human-in-the-Loop (HITL) annotation comes in. By integrating human expertise with AI, HITL enhances accuracy, minimizes errors, ensuring ethical decision-making. Whether self-driving cars,…
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Automated annotation for Speed, Accuracy, and Cost Effectiveness
AI-based solutions are the way forward for every industry, and AI solutions across industry segments require large volumes of data labelling. “Supervised Learning” models are trained with accurately labelled large datasets. Semantic segmentation is one of the main challenges in computer vision as it takes quite long to accurately segment an image. Scaling the dataset…