Rijutha Sivaprakas, a Technology Consultant at Ampion, a Wipro company, discussed how her team is using Neo4j to optimize DevOps and migrate to the cloud in the Australian banking sector. The goal was to improve performance and reduce manual intervention in data-driven insights. They built a solution on an existing application but struggled with handling complex, hierarchical, and many-to-many relationships. GraphDB was initially used but ultimately replaced by Neo4j due to its better performance and interoperability requirements. Rijutha found Neo4j's Python driver helpful for integrating with various systems and data sources. Automation of the data ingestion pipeline led to significant productivity gains, reducing manual effort and improving end-user experience. Future use cases include identity and access management in cloud migrations and building decision-making systems for suspicious activities.