AI-Powered Strategies for Fraud Detection in Health Insurance

Fraud, waste, and abuse (FWA) in health insurance pose major challenges for insurers, especially in Asia’s diverse and complex healthcare landscape. Join this webinar to explore how AI-driven solutions are transforming FWA detection and prevention, enhancing efficiency, and reducing financial losses while fostering trust with policyholders. Discover how advanced technologies like machine learning, NLP, anomaly detection, and social network analysis tackle unique challenges such as multilingual data, evolving fraud patterns, and regulatory diversity. Gain actionable strategies to build scalable, adaptive AI solutions tailored to Asia’s dynamic health insurance ecosystem.

Key Takeaways:

• Explore how AI-driven solutions empower insurers to detect and address fraud, waste, and abuse (FWA) in Asia's complex health insurance landscape.
• Understand the unique challenges in Asia, including multilingual claims data, evolving fraud patterns, and diverse regulations.
• Learn how technologies like machine learning, NLP, anomaly detection, and social network analysis tackle FWA effectively.
• Gain actionable insights into building scalable, adaptive AI solutions tailored for Asia’s health insurance ecosystem.

Sankara Prasad Kondareddy is a seasoned data science leader with over 15 years of experience in AI and machine learning. Currently heading AI initiatives at a healthcare tech firm in Asia, he specializes in medical coding, claims processing, and fraud detection. With a Master's in Industrial Engineering from IIT Bombay, Sankara excels in bridging advanced analytics with real-world business needs. He has a proven track record of building scalable AI systems, leading global teams, and driving impactful data-driven solutions across industries. You can reach him on LinkedIn.