For forty years, every data decision meant picking a side: operational or analytical, governed or self-service, relational or unstructured, aggregated or federated. AI did not add a fifth choice. It made all four unavoidable at once, while inference costs quietly crowd out the software budgets that used to fund everything else.
In this session, Matthieu Jonglez argues that the winners of the AI era will not own the biggest model or the largest data lake. They will own the control plane: the semantic, governed, agentic layer that sits above fragmentation instead of replacing it, and turns scattered data into context, and context into decisions a business can trust and afford. The winner will not be the platform with the most data, but the platform that can deliver the right context to both humans and agents alike, on equal footing. Drawing on production systems running at billions of documents and the latest analyst research, he shows why the real question is no longer build or buy, but orchestrate or be orchestrated.
AI is changing not only how enterprises analyze information, but how decisions are made, actions are automated, and knowledge is consumed by both people and intelligent systems. In this session, Eudald Camprubí and Sergei Sokolov will share Progress' perspective on the evolution of enterprise data platforms, exploring why the greatest barrier to AI adoption is no longer access to data or models, but the ability to create trusted, governed, and explainable context across fragmented information landscapes. Drawing on customer challenges across financial services, manufacturing, life sciences, media, and the public sector, they will outline the principles, architecture, and roadmap behind the Progress vision for enterprise intelligence. Attendees will learn how PDP Studio represents the next step in the platform's evolution while continuing to build on the strengths of the current PDP portfolio. Our strategy is to support customer AI journeys allowing for adoption of new platform capabilities at their own pace, leveraging existing products, deployments, and expertise while gaining access to emerging AI-native experiences where they create the most value. The roadmap discussion will provide clarity on how these worlds coexist, how Progress plans to evolve the platform over time, and what customers should expect as the strategy unfolds
Artificial intelligence has evolved from a research breakthrough into a transformative force reshaping how organizations operate, compete, and innovate. In this session, Microsoft will explore the evolution of generative AI, the market forces driving adoption, and how we see the next wave of AI innovation unfolding. Attendees will gain insight into Microsoft's perspective on responsible AI, building trust into AI-powered experiences, and the importance of pairing cutting-edge technology with deep domain expertise. The session will also highlight the strategic partnership between Microsoft and Progress, showcasing how Progress combines market-leading data platform capabilities and industry expertise with Microsoft's AI and cloud technologies to deliver practical, business-focused solutions.
MarkLogic remains a powerful foundation for managing complex enterprise data, but the broader Progress Data Platform extends its value across the full data lifecycle. This session is designed for architects and technical leaders who understand MarkLogic and want to see how complementary PDP capabilities can help connect, enrich, govern and operationalize enterprise data.
The session will examine how Semaphore adds semantic modeling, classification and metadata enrichment to improve search, knowledge graphs and retrieval-augmented generation pipelines. It will also show how DataDirect supports real-time connectivity and cross-system ingestion, and how Corticon brings explainable decision automation and policy enforcement to trusted data-driven workflows.
Attendees will also be introduced to Data Symphony as an orchestration layer for bringing these capabilities together into cohesive, automated data workflows. The session will focus on architectural patterns, integration considerations and practical examples that show how existing MarkLogic deployments can evolve into a more complete, AI-ready data platform. Participants will leave with a clearer understanding of PDP’s end-to-end architecture and the next steps for modernization.
Data is only as valuable as your ability to understand what it means not just what it says. In this hands-on session, you'll discover how organizations can bring order, meaning, and intelligence to complex enterprise data through the power of semantic modeling.
Whether you're a data architect designing enterprise knowledge structures, a taxonomist building controlled vocabularies, or a business user who simply needs to make sense of how your organization's concepts connect this session is built for you.
We'll start with a plain-language introduction to what semantic modeling is and why it matters in an AI-driven world. No prior knowledge of ontologies, taxonomies, or knowledge graphs required, just a willingness to think about data differently.
From there, you'll get hands-on, working through a guided scenario that takes you inside the process of mapping relationships between concepts, seeing firsthand how Semaphore helps you define not just what your data is, but what it means and how it connects.
By the end of the session, you'll understand how semantic models become the intelligence layer that makes AI applications more accurate, more trustworthy, and more aligned with how your business thinks.
Data is only as valuable as your ability to understand what it means not just what it says. In this hands-on session, you'll discover how organizations can bring order, meaning, and intelligence to complex enterprise data through the power of semantic modeling.
Whether you're a data architect designing enterprise knowledge structures, a taxonomist building controlled vocabularies, or a business user who simply needs to make sense of how your organization's concepts connect this session is built for you.
We'll start with a plain-language introduction to what semantic modeling is and why it matters in an AI-driven world. No prior knowledge of ontologies, taxonomies, or knowledge graphs required, just a willingness to think about data differently.
From there, you'll get hands-on, working through a guided scenario that takes you inside the process of mapping relationships between concepts, seeing firsthand how Semaphore helps you define not just what your data is, but what it means and how it connects.
By the end of the session, you'll understand how semantic models become the intelligence layer that makes AI applications more accurate, more trustworthy, and more aligned with how your business thinks.
Data is only as valuable as your ability to understand what it means not just what it says. In this hands-on session, you'll discover how organizations can bring order, meaning, and intelligence to complex enterprise data through the power of semantic modeling.
Whether you're a data architect designing enterprise knowledge structures, a taxonomist building controlled vocabularies, or a business user who simply needs to make sense of how your organization's concepts connect this session is built for you.
We'll start with a plain-language introduction to what semantic modeling is and why it matters in an AI-driven world. No prior knowledge of ontologies, taxonomies, or knowledge graphs required, just a willingness to think about data differently.
From there, you'll get hands-on, working through a guided scenario that takes you inside the process of mapping relationships between concepts, seeing firsthand how Semaphore helps you define not just what your data is, but what it means and how it connects.
By the end of the session, you'll understand how semantic models become the intelligence layer that makes AI applications more accurate, more trustworthy, and more aligned with how your business thinks.
Data is only as valuable as your ability to understand what it means not just what it says. In this hands-on session, you'll discover how organizations can bring order, meaning, and intelligence to complex enterprise data through the power of semantic modeling.
Whether you're a data architect designing enterprise knowledge structures, a taxonomist building controlled vocabularies, or a business user who simply needs to make sense of how your organization's concepts connect this session is built for you.
We'll start with a plain-language introduction to what semantic modeling is and why it matters in an AI-driven world. No prior knowledge of ontologies, taxonomies, or knowledge graphs required, just a willingness to think about data differently.
From there, you'll get hands-on, working through a guided scenario that takes you inside the process of mapping relationships between concepts, seeing firsthand how Semaphore helps you define not just what your data is, but what it means and how it connects.
By the end of the session, you'll understand how semantic models become the intelligence layer that makes AI applications more accurate, more trustworthy, and more aligned with how your business thinks.
