Good morning. I'm Kendra Prakash Rojo Senior software engineer at C and Property Insurance Corporation. Today I'll walk you through how AI edge computing and serverless architectures are reshaping insurance incident response. The world is changing rapidly. Customers expect faster service. Regulators demand more compliance and risks like cyber attacks and climate change events are rising. This presentation is about how modern cloud native technologies can help insurers respond faster, scale better, and serve customers with more trust and transparency, traditional challenges. Let's begin with the pain points most insurers face today. Slow incident detection. For example, many incidents remain unnoticed for hours or even days. Delaying recovery and adding costs. Manual claim processes like adjusters are overloaded, creating frustrating backlogs for policy holders. Lack of realtime insights, so without Im Lee, data insurers still reactive instead of preventing losses, scalability, bottlenecks. During disasters, like hurricanes, systems often collapse, which are under heavy demand. They're not small issues. They directly affect customer trust, operational cost, and long-term competitiveness. AI powered performance. AI has already started transforming insurance operations. In underwriting AI models. Analyze IO OT sensors, driving behavior property data to provide more accurate risk assessments. This reduces errors and improves pricing. Claims AI automation speeds up resolution like chat bots, gather information, algorithms try out severity. Thereby human justice can only handle exceptions in fraud. Detections AI identifies patterns that humans might miss catching fraudulent claims before payouts are made. These results are very clear that it provides better accuracy, faster service. Reduced fraud and improved profitability. Edge computing. Edge computing means processing data where it's created rather than sending everything back to central service. For insurers, this is crucial. Take a flood sensor in a home With edge computing, this sensor can trigger an alert immediately, even if connectivity to the cloud is delayed. Or think about telematics in cars. Like accident data can be analyzed locally, so insurers can take actions immediately. This reduces latency, saves bandwidth, and ensures faster responses that directly protects customers and minimize claims. Serverless benefits. Serverless architecture is like electricity. You don't worry about the power plant. You just use what you need. For insurers, this means always on scalability, like claim portals won't crash during the search In disasters, faster deployments, new tools like claim apps can be launched in days. Customer first service. Serverless systems handle traffic smoothly, providing instant responses. Serverless architecture combines flexibility and reliability, ensuring insurers can innovate you quickly while staying prepared for high pressure events, intelligent incident detection. Here is where AI shines in incident response. Like real-time monitoring. AI continuously scans underwriting and claims data for unusual patterns. Pattern recognitions like machine learning detects fraud or risks early automated alerting. Once something is identified, the system notifies the right team with CVR levels and recommended actions. This approach shifts ensures from slow manual reactions to fast data-driven decision making, edge driven real-time intelligence. This slide shows how edge and cloud work together. Like connected sensors capture, react data, raw data. Each processing provides instant and local insights. Cloud intelligence analyzes large patterns across multiple sources. Informed actions allows insurers to optimize decisions from claim approvals to fraud preventions. This layered model delivers both speed at the source and deep insights at scale. Automated root cause analysis when incidents happen, understanding the root cause quickly is critical. AI gathers data from multiple systems, analyze patterns, and identifies the true root cause, whether it's weather related or damage equipment failure or human error. It then generates recommendations for remediations. This means insurers not only fix today's problems faster, but also learn how to prevent them tomorrow. Large scale disruptions, major disasters, put systems under extreme pressure. Here is how modern systems handle them, like auto-scaling, which expands resources instantly. Dynamic allocations, which shifts workloads from across regions, failover and backups that keep critical operations running load balancer, load balancing, which smooths traffic spikes. For insurers, this means uninterrupted service, even during catastrophic events, protecting both operations and customer trust. Blockchain for reinsurance. Blockchain has strong use cases in reinsurance, like smart contracts, which automate settlements transparency, which provides immutable audit trials efficiency that reduces manual steps and speeds up payouts trust, which grows between insurers and reinsurers. By combining automation and transparency, blockchain simplifies that, which has traditionally been a slow, complex process. Hybrid cloud. Hybrid Cloud provides a balance. Insurers need sensitivity. Regulated data can stay in private or on-prem systems while scalable workloads like analytics run in the public cloud. This ensures. Compliance with regulations like GDPR and H-I-P-A-A while still unlocking the benefits of cloud scale and speed. It's a practical way forward for insurers modernizing without risks, risking compliance. Compliance and elig agility Compliance is a cornerstone of insurance. Modern platforms embed compliance with frameworks like G-D-P-R-H-I-P-A-A. Logging and monitoring. Simplify audits while automated governance ensure sensitivity data is protected across multiple environments. This lets insurers maintain both agility and compliance. A combination that used to be seen as impossible implementation roadmap. How do insurers get started? Access the current state, understand where systems stand today. Design a strategy. Decide how AI edge and serverless fit into operations. Pilot programs test in small controlled environments. Scale and optimize. Expand what works continuously improve. This phased approach ensures transformation without overwhelming teams. Key takeaways. Three things to remember. Measurable impact AI and cloud improve accuracy, speed, and cost integrated approach. Combining AI and EDGE and serverless architecture drives transformation. Strategic rollout hybrid cloud ensures compliance while enabling innovation. This is not about adopting one tool. It's about building an ecosystem that's future ready, ready to transform. The question is, are we ready to transform? Insurers who act now will set the standard in customer service, compliance, and resilience. Those who wait will struggle to catch up with AI edge and serverless architecture. The tools exist today to revolutionize insurance response. The opportunity is to lead, not just adapt. Thanking you for joining today. I hope you this gave you a clear picture of how ai, h computing, and serverless architecture can transform incident response to insurance. I would love to hear your thoughts, questions, and challenges you face in implementing these technologies.