Modern organizations require a new approach to software intelligence that leverages data and analytics to unify observability and security data, generating real-time insights crucial for maintaining software performance and operational efficiency. As companies increasingly transform into software entities, they face the complexities of cloud-native environments, which demand seamless functioning of numerous interdependent services. To address these challenges, observability data—comprising logs, metrics, and traces—must be centralized and contextualized to provide actionable insights. An innovative approach, exemplified by Grail, a purpose-built data lakehouse, converges real-time, historical, and predictive analytics on a single platform, offering schema-less data ingestion and direct analytics access without data rehydration. This facilitates precise answers and automated root-cause analysis, enabling IT professionals to make informed decisions without compromising on speed, scale, or cost. The integration of AI further enhances this process by analyzing unified data sets to detect anomalies and prioritize issues, thereby optimizing operations and security. Dynatrace's platform, powered by Grail, exemplifies this integration by eliminating data silos, automating processes, and supporting cloud transformation, ultimately empowering organizations to achieve better business outcomes through tailored observability, AIOps, and application security.