Melliyal Annamalai explains why knowledge graphs are becoming a critical foundation for modern AI by providing the context that helps AI agents deliver more accurate and trustworthy results. The conversation explores how property graphs, RDF graphs, vectors, and graph analytics work together to strengthen enterprise AI applications. In this episode of Digital Impact Radio Series 9, Franco Ucci speaks with Melliyal Annamalai about the growing importance of knowledge graphs in the era of artificial intelligence. As AI systems become more capable, the discussion explores why knowledge graphs are moving beyond their traditional role in analytics to become an essential source of context for AI agents, retrieval systems, and enterprise applications. Melliyal explains the differences between property graphs and RDF graphs, also known as semantic or knowledge graphs, and describes how each graph model supports different use cases. The conversation examines how knowledge graphs capture business concepts, relationships, and domain expertise in a structured, standards-based way that helps AI systems produce more precise, explainable, and trustworthy outcomes. Real-world examples from fraud detection, financial services, supply chain analysis, and enterprise metadata illustrate how graph technologies continue to evolve alongside AI. Franco and Melliyal also discuss how vectors and graphs complement one another, combining semantic similarity with explicit relationships to provide richer context for AI. The episode concludes with practical insights into industry ontologies, graph standards, Oracle Graph, and the growing ecosystem of tools and learning resources that are making knowledge graphs increasingly accessible for enterprise AI solutions.

Angelo Joseph explains Oracle's multicloud strategy and how it enables organisations to run Oracle Database services across AWS, Microsoft Azure, and Google Cloud while simplifying operations and procurement. The conversation explores how multicloud deployments improve flexibility, performance, governance, and enterprise AI without requiring customers to change their preferred cloud provider. In this episode of Digital Impact Radio Series 9, Franco Ucci speaks with Angelo Joseph, head of Cloud Engineering for Oracle Cloud Infrastructure in Australia and New Zealand, about Oracle's multicloud strategy and why it is changing the way organizations deploy enterprise workloads. Angelo explains how Oracle works with major hyperscalers, including Amazon Web Services, Microsoft Azure, and Google Cloud, allowing customers to run Oracle Database services within their preferred cloud environment while maintaining familiar procurement, management, billing, and operational processes. The conversation explores how Oracle Database and Oracle Exadata services integrate with hyperscaler environments to provide low-latency connectivity, simplified administration, and a consistent enterprise experience. Angelo also discusses Oracle's multicloud commercial model, unified contracts, integrated marketplaces, and the engineering investment required to deliver a seamless customer experience across cloud platforms. Franco and Angelo also examine how Oracle's approach supports enterprise AI by bringing AI capabilities to the data rather than moving sensitive data between platforms. They discuss operational simplicity, security, autonomous database capabilities, scalability, and the growing adoption of Oracle multicloud across industries including banking, healthcare, telecommunications, retail, and the public sector. This episode provides practical insights for technology leaders evaluating multicloud architectures, enterprise databases, and AI-ready cloud strategies.

Mark Nelson explains how agent memory helps AI systems retain useful context, balance different memory types, and support secure, production-ready AI applications. The discussion explores why governed, durable memory and Oracle AI Database provide a strong foundation for enterprise AI systems. In this episode of Digital Impact Radio Series 9, Franco Ucci speaks with Mark Nelson about one of the most important concepts in modern AI development: agent memory. Mark explains why agent memory is much more than chat history and how developers should think about memory as structured, reusable application data rather than a simple transcript of previous conversations. The discussion introduces six core memory types, including working, semantic, episodic, procedural, relationship, and operational memory, and explains the role each plays in building intelligent AI agents. Mark also examines how popular AI frameworks approach memory, why developers should begin with a clear memory policy instead of a storage technology, and how retrieval, governance, privacy, explainability, and lifecycle management all contribute to trustworthy enterprise AI. The conversation concludes with a practical discussion of Oracle Agent Memory and Oracle AI Database, showing how vectors, relational data, metadata, graph relationships, and enterprise governance can work together to create durable, searchable, well-scoped, and auditable memory for AI agents. Whether you are building AI applications, experimenting with agent frameworks, or designing enterprise AI architectures, this episode provides a practical framework for understanding how memory enables more capable and reliable AI systems.

Explore practical AI agent strategies for building multi-agent systems with memory, guardrails, observability, and human oversight to improve software development workflows. Hear how these real-world AI learnings can help you build more reliable intelligent systems by listening to the full Digital Impact Radio episode In this episode of Digital Impact Radio Series 9, Franco Ucci speaks with Mark Nelson about the latest developments in AI agents and the practical lessons he has learned while building production-ready multi-agent systems. Their conversation explores how specialized AI agents collaborate on research, coding, reviews, testing, and fact checking while using memory, observability, and guardrails to improve quality over time. Mark explains how human oversight remains essential for validating outcomes, managing complexity, and maintaining confidence in AI-generated work. The discussion also covers agent orchestration, model selection, self-hosted language models, development workflows with Visual Studio Code, version control strategies, and considerations for deploying AI agents into production environments. Whether you are exploring AI-assisted software development, intelligent automation, or enterprise AI architecture, this episode offers practical insights into building reliable AI systems that balance automation with governance and continuous improvement.

Stuart Coggins explores how Oracle's Customer Experience Centre helps organizations rapidly validate AI ideas through lightweight prototypes, emerging technologies, and practical innovation. The conversation highlights how AI platforms, agent frameworks, and modern development tools are accelerating customer engagement and digital transformation. In this episode of Digital Impact Radio Series 9, Franco Ucci speaks with Stuart Coggins about Oracle's Customer Experience Centre and the rapidly evolving technologies helping customers turn ideas into working solutions. Stuart explains how the Customer Experience Centre works with organizations to develop lightweight minimum viable products that quickly validate concepts before moving toward production implementations. The discussion explores several emerging Oracle technologies, including the AI Data Platform, AI agent development, Oracle Code Assist, Model Context Protocol, synthetic data generation, and new capabilities for building intelligent applications. Stuart shares how these technologies are reducing development effort, improving collaboration, and enabling teams to experiment with AI-driven solutions more quickly than ever before. Franco and Stuart also discuss the growing role of low-code development, AI-assisted coding, and modern application architectures in helping organizations respond faster to changing business requirements. They examine how practical demonstrations, rapid prototyping, and customer collaboration are becoming essential parts of successful digital transformation initiatives. Whether you are exploring AI, modern application development, or enterprise innovation, this episode offers practical insights into how emerging technologies can accelerate customer outcomes while reducing complexity.

In this first episode of Digital Impact Radio Series 9, Franco Ucci speaks with Steve Tindall about the evolution of Oracle Integration, exploring how accelerators, recipes, prebuilt connectors, and automation capabilities help organisations connect systems faster and modernise business processes. The conversation also looks ahead to the role of hyperautomation and how Oracle Integration continues to support more agile, connected, and intelligent digital transformation.

Raj Modi Senior Director, Health Sciences discusses the state of Clinical Trials as we edge out of the pandemic. Raj also discusses new science and technology which is changing how healthcare is being delivered, and its impact on Clinical Trials.

Steve Tindall and Stanislav Tanev talk about Oracle Integration 3, a fully managed, preconfigured environment that gives you the power to integrate your cloud and on-premises applications, and gain insight into your business processes.

Alistair Green, Senior Vice President for JAPAC Cloud Engineering, shares his insights from Oracle CloudWorld, hearing about how Oracle is solving the world's most complex problems, maximising what is possible with SaaS, OCI, On-Premise in a Multi-Cloud Ecosytem, and working with Partners.

Stanislav Tanev and Steve Tindall talk about Oracle Process Automation, which helps rapidly design, automate, and manage business processes in the cloud, supporting processes across SaaS, APIs and Standalone.