This presentation provides an overview of Contiem’s RSuite CCMS, highlighting why organizations utilize the MarkLogic platform to efficiently create, manage, publish and deliver complex content at scale. The speaker will then explore the MarkLogic Flexible Replication capability and how its powerful functionality supports critical use cases, including the secure and timely delivery of tactical intelligence

In this talk we discuss Boeing's strategic use of the MarkLogic platform for content management of its vast library of engineering specifications, which comprises 40% of the company's product data. We’ll cover using the MarkLogic platform to model data semantics at scale using knowledge graphs and AI. We’ll also describe plans for using the platform to establish a service-based distribution system powering a "digital thread" throughout the entire product lifecycle, from product design to maintenance.

Progress MarkLogic applications power critical projects across a variety of industries, where data integrity and uptime are non-negotiable. To ensure consistent performance, we need to move past reactive monitoring and watch for signals that indicate potential trouble. In this session, we’ll explore the built-in tools the MarkLogic platform offers to assess system health, uncover hidden issues and maintain peak performance. You’ll learn practical techniques to anticipate problems before they impact users, whether you're managing a single instance or a complex multi-cluster deployment. You’ll walk away with actionable insights to strengthen your system’s resilience, reliability and responsiveness.

Discover how Progress MarkLogic's powerful data orchestration with Flux can streamline and automate your data pipelines. This session will showcase Flux in action with live demos, followed by an exploration of how Progress DataDirect enhances connectivity and integration. Learn how these tools work together to drive seamless, scalable data operations.

The Corticon.js solution brings the power of a proven, enterprise-grade business rules engine into the modern, serverless world—now running natively within the MarkLogic platform. Trusted across industries for managing highly complex decision logic, the Corticon platform has long been the choice for organizations demanding agility, transparency and precision in rule execution. This session introduces how the Corticon.js solution can integrate seamlessly with MarkLogic’s semantic and multi-model capabilities, enabling logic to live closer to the data. Attendees will discover how externalizing business rules from application code can accelerate development, simplify compliance and foster better collaboration between technical and business teams.

This presentation explores how data and AI are reshaping research-driven organizations. We trace the journey from experiment to data, highlighting key challenges such as data fragmentation, legacy infrastructure, and annotation gaps. The talk showcases how AI enables acceleration of innovation and improves decision-making. Strategies for building agile, data-centric R&D ecosystems and enhancing collaboration between domain experts and AI systems experts will be discussed, along with opportunities to train the workforce and multiply impact across disciplines.

In the race to adopt AI, most organizations focus on automation and time savings but the real, lasting value lies in capturing, compounding and acting upon the intelligence across the enterprise. This session explores how Moody’s Analytics is building a collaborative “agent habitat” where both humans and AI agents continuously learn from each other, creating a dynamic institutional memory that grows smarter with every interaction. By shifting the mindset from merely using AI tools to actively teaching and evolving the human AI collaboration, organizations can unlock sustainable competitive advantage, foster innovation and empower their teams to focus on higher-value work. Attendees will learn practical strategies for architecting both technical systems and organizational culture to transform fleeting efficiency gains into enduring, collective intelligence centered on the critical topics of trustworthy knowledge retrieval, data availability and security.

This session presents context engineering for R&D knowledge, a systematic approach to preparing and delivering the right information to AI systems, in the right form at the right time. We’ll show how the MarkLogic platform can unify diverse research content without premature standardization, how mixed-mode querying and knowledge graphs can assemble the tailored context for each question, and how temporally-aware data retrieval can accommodate the evolving nature of scientific understanding. Together, these capabilities let AI agents tap into the right context and deliver insights that researchers can trust, act on and build upon with confidence.

Discover how to build intelligent, end-to-end data workflows using the Progress Data Platform. This session covers designing applications that pull from relational and unstructured sources, apply auto-classification and metadata enrichment, integrate AI-driven chunking and embedding and store enriched content in the MarkLogic platform for operational use. Learn how to streamline complex data flows into scalable, intelligent architectures.

Join CAS as they share their data-centric approach to modernizing the content management pipeline. A division of the American Chemical Society, CAS manages data at scale across multiple domains—spanning chemistry and life sciences—and is currently revitalizing over a century’s worth of content and processes. By leveraging the MarkLogic platform as a core technology to process, store and distribute data at enterprise scale, CAS is driving innovation in how they author, acquire and curate their ever-growing knowledge base.

Join Amazon Web Services (AWS) as they share proven strategies for achieving operational excellence with the MarkLogic platform in the cloud. By leveraging AWS' advanced infrastructure and services, organizations are transforming their MarkLogic deployments into seamlessly automated operations with "set it and forget it" efficiency. Learn how auto-scaling databases, self-healing clusters and intelligent monitoring systems are freeing up teams from day-to-day management, while Graviton processors and Nitro System-powered EC2 instances optimize both performance and costs. AWS is driving innovation in how organizations deploy, manage and scale their MarkLogic implementations, enabling teams to focus on delivering mission-critical value rather than operational maintenance.

Discover how to build intelligent, end-to-end data workflows using the Progress Data Platform. This session covers how to design applications that pull from relational and unstructured sources, apply auto-classification and metadata enrichment, and store content in the MarkLogic platform for operational use. Learn how to streamline complex data flows into scalable, intelligent architectures.

The rise of the Agentic Web is transforming how content is consumed, with AI agents increasingly mediating information access for users. This shift presents both challenges and opportunities for publishers. To stay relevant and maintain revenue streams, publishers must start creating products specifically for AI consumption. This talk will explore the concept of Model Context Protocol (MCP) servers as a key technology enabling content distribution to AI agents. Building on recent AWS guidance, we'll demonstrate how publishers can implement OAuth-enabled MCP servers to securely deliver content and services to AI, while maintaining control over content selection, authentication, usage metrics and monetization. By embracing this approach, publishers can position themselves at the forefront of the AI-driven content ecosystem, opening up new avenues for engagement and revenue.

Join us for an examination of semantic Retrieval-Augmented Generation (RAG), but with a twist! This project automates improvements to ontologies based on interactions, ensuring that the knowledge graph evolves with the needs of users. AbbVie implemented this pattern on multimodal enterprise architecture artifacts and technical debt data. Along the way, they compared this method against more traditional RAG approaches, illustrating an improvement in the quality of information retrieval and accuracy of AI-generated responses. This presentation will establish that systems can be both highly trustworthy and highly automated, giving time back to knowledge experts and transforming queries into insights.

Artificial Intelligence will continue to revolutionize the way we discover and consume content in digital experiences. However, before we jettison trusted and proven systems that help classify and deliver content in favor of machine learning, we need to better understand the implications that decision will have. How can we measure and analyze content outside of the data clusters vectorization offers?