Venugopal Rapelli is a distinguished SAP BASIS and HANA Cloud Architect with more than 18 years of extensive experience in architecting, implementing, modernizing, and supporting enterprise-scale SAP landscapes for global organizations. Over the course of his career, he has developed deep expertise in SAP ecosystem technologies including SAP S/4HANA, ECC, SAP HANA 1.0/2.0, SAP RISE, SAP Business Technology Platform (BTP), SAP Cloud ALM, and hybrid cloud architectures spanning AWS, SAP HEC, and on-premise infrastructures. Venugopal has played a pivotal role in driving large-scale digital transformation initiatives, including complex SAP S/4HANA conversions, enterprise cloud migrations, and modernization of legacy SAP environments into scalable cloud-native architectures. His work focuses on ensuring high availability, resilience, and optimal performance of mission-critical SAP systems while aligning technology strategy with evolving business needs. With deep technical expertise in SAP HANA administration, system upgrades, OS/DB migrations, and landscape transformation, Venugopal has successfully delivered numerous infrastructure modernization projects across industries. He has extensive hands-on experience with advanced data replication technologies such as SLT and SNP Glue, disaster recovery planning, high-availability architectures, and full-stack observability solutions including AppDynamics and Datadog to enhance operational visibility and reliability. In addition to his infrastructure expertise, Venugopal brings strong capabilities in SAP security, governance, and compliance. He has implemented robust cybersecurity frameworks for SAP environments, including vulnerability assessment and threat management using tools such as Onapsis, helping organizations strengthen their SAP security posture while maintaining regulatory compliance.Throughout his career, Venugopal has held key technical and leadership roles at globally recognized organizations including HCL Technologies, Vak tech Corporation, Infosys, IBM, and Mettler Toledo. In these roles, he has consistently delivered measurable business value by stabilizing complex SAP environments, optimizing system performance, driving automation, and leading high-performing technical teams. Known for his strategic mindset, hands-on technical leadership, and ability to quickly adapt to emerging technologies, Venugopal is widely regarded as a trusted SAP architect capable of managing end-to-end enterprise SAP ecosystems. His passion for innovation and operational excellence continues to help organizations navigate their digital transformation journeys and fully leverage the power of modern SAP platforms.

AI-Driven Observability for Hybrid Cloud SAP Landscapes Using Intelligent Self-Healing Systems.   As enterprises modernize their core business platforms, hybrid cloud SAP landscapes have become increasingly complex, distributed, and dynamic. Traditional monitoring approaches, built on static thresholds and isolated system views, are no longer sufficient to manage these environments effectively. Such tools react only after performance degradation has already affected business operations, while simultaneously overwhelming administrators with excessive alerts that obscure root causes rather than clarify them. This session introduces a shift from conventional monitoring to AI-driven observability, emphasizing an integrated view of system behavior across on-premise and cloud ecosystems. By unifying logs, metrics, and traces from SAP HANA, cloud infrastructure, and business technology platforms into a centralized telemetry foundation, organizations can gain contextual awareness of system health. This holistic ingestion strategy enables Artificial Intelligence for IT Operations to move beyond surface-level alerts toward meaningful behavioral understanding.The presentation further explores the concept of a Neural Digital Twin for SAP landscapes, designed to model system behavior continuously and adaptively. Unlike static dashboards, this approach learns dynamic operational baselines, recognizing when system patterns are expected and when they signal emerging risk. By correlating infrastructure metrics, application performance, and recent changes such as transports or configuration updates, the Digital Twin enables proactive anomaly detection and informed decision-making. To enhance accessibility and operational efficiency, the architecture integrates conversational AI interfaces, allowing teams to investigate issues through natural language interactions rather than manual log analysis. This transformation redefines IT operations from reactive firefighting to predictive, insight-driven management. Attendees will gain a clear understanding of how AI-powered observability can reduce operational noise, improve resilience, and enable self-healing capabilities within complex hybrid cloud SAP environments.