S7 EP18 - Jason Grogan highlights Autonomous Data Guard

Connor McDonald explores how Oracle APEX 26.1 is advancing enterprise low-code development through generative AI integration, APEXlang, and modern developer workflows. Discover how a human-readable application specification, AI-assisted coding tools, and version control can help developers build, manage, and validate data-driven applications more efficiently. In this episode of Digital Impact Radio Series 9, Franco Ucci speaks with Connor McDonald about Oracle APEX 26.1 (Oracle Application Express) and the evolving role of generative AI in enterprise application development. Connor discusses how Oracle APEX combines low-code development with Oracle Database capabilities to help developers create scalable, data-driven applications while reducing the complexity of traditional software development. A central focus of the conversation is APEXlang, a human-readable, text-based specification language designed to describe Oracle APEX applications. Connor explores how APEXlang can help developers represent application intent in files that are easier to review, maintain, and manage through version control. This approach also creates opportunities for AI-assisted application generation, automated validation, and collaboration across development teams. Franco and Connor examine how generative AI tools such as Claude and OpenAI Codex can work with text-based application specifications to support developer productivity and streamline application development workflows. The discussion also considers the importance of governed AI integration, helping organizations explore AI-assisted development while maintaining appropriate control over application design and implementation. The episode highlights how Oracle APEX 26.1, APEXlang, and generative AI are bringing traditional database development and modern AI-assisted software engineering closer together. For Oracle APEX developers, database professionals, application architects, and IT leaders, this conversation provides insights into the evolving possibilities for enterprise low-code development, version control, and AI-powered application engineering.

Connor McDonald explores how Oracle Database security and automation help organizations protect sensitive data, simplify database maintenance, and manage evolving AI security risks. From automated patching with AutoUpgrade to data redaction and Deep Data Security in Oracle AI Database 26ai, discover how Oracle combines database automation with identity-aware access controls to support secure enterprise applications and AI agents.

Ruiqi Jiang explains how the APEX Graph Visualization Plug-in brings Oracle Graph into Oracle APEX applications for interactive exploration of connected data. Developers can visualize vertices and edges, adjust graph layouts, filter data, customize styling, and connect graph interactions with APEX application processes.

Oracle LiveStacks helps learners explore working, industry-relevant applications before diving into the technologies and architecture behind them. Kevin Lazarz and Matt Howalik explain how LiveStacks combines Oracle LiveLabs with Oracle AI Database 26ai capabilities to connect business outcomes with practical hands-on learning. In this episode of Digital Impact Radio Series 9, Franco Ucci speaks with Kevin Lazarz and Matt Howalik about LiveStacks on Oracle LiveLabs and a new approach to hands-on technology learning. Instead of beginning with individual product features, LiveStacks provides fully configured applications that let learners experience an industry scenario and its business outcomes before exploring how the underlying architecture works. Kevin and Matt explain how LiveStacks complements the hundreds of technical workshops already available through Oracle LiveLabs. Learners can begin with a working application, understand the use case, and then explore the technologies that make it possible. The discussion covers examples including AI lakehouse architectures, real-time data ingestion, change data capture, medallion architecture, vector search, JSON, property graphs, and AI capabilities within Oracle AI Database 26ai. The conversation also explores Select AI, Select AI agents, natural language interaction with data, embedded AI models, and private AI services. Kevin and Matt explain how learners can deploy LiveStacks into their own environments, modify the applications, connect them with AI agents, and then use LiveLabs workshops to understand individual capabilities in greater depth. The result is a practical learning journey that connects real-world applications and business outcomes with the architecture and technologies behind them.

Jason Reinhardt explains how Oracle Live AI Hub uses Autonomous AI Database to connect data across relational databases, files, lakehouses, and clouds for AI-powered analysis and application development. The approach helps organizations work with distributed data where it resides while providing the flexibility to replicate data when performance requirements make that beneficial.