PMP-Certified Project & Program Manager | AI Product | SaaS | Fintech | Low-Code | Agile | Ex-Founder
🔍 Fraud in insurance is evolving — image & video evidence are now a battleground. In my latest blog, I explore how insurers can leverage AI to detect manipulated or false visual evidence in claims. I cover: • Why metadata, pixel-anomalies and duplication checks matter. • The multi-layered strategy: from simple anomaly detection to deepfake video analysis. • A prioritised roadmap: start with the highest-impact, lowest-complexity use-cases and build up. • Why human-in-the-loop remains essential & how AI augments investigator workflows. 🚀 Why this matters: Fraudulent claims cost insurers billions, and as generative AI becomes more capable, visual manipulation is no longer niche. By building advanced image-/video-fraud detection capabilities, insurers can recover trust, reduce losses, speed claims, and enhance customer fairness. 💡If you’re working on AI for claims, or exploring visual data in risk management, you’ll can find the roadmap helpful — especially in framing “quick wins” vs “future bets”. 📝 Read the full article here: https://lnkd.in/gCUeFwdi I’d love to hear: What’s your biggest challenge when it comes to visual evidence in claims? Drop a comment or DM me to discuss. #Insurance #Insurtech #AI #FraudDetection #ImageForensics #VideoAnalytics #ProductManagement #DigitalTransformation
