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.
No prior PDP experience required What does it look like when enterprise-grade data management, semantic enrichment, and modern UI components come together in a single, deployable package? In this session, you're going to find out by building it yourself.
This two-hour hands-on training takes you inside the Progress Data Platform (PDP), designed to get you from zero to working application as fast as possible. No complex pre-configuration, no black-box magic, just a powerful platform you can see, touch, and understand.
We'll start with a guided walkthrough of the PDP package you're about to deploy. Then, working together inside a pre-configured CloudShare environment with VS Code open so you can see exactly what's happening under the hood you'll use the platform's agentic deployer to stand up the full stack. Watch as the components install, connect, and come to life in real time.
Once the environment is running, the platform itself generates a policy document library, ingesting, indexing, and making it immediately queryable. In the first hour, you'll work through this shared scenario together, exploring how PDP handles complex enterprise data, adds semantic intelligence on top of it, and let's you vibe-code a polished application with remarkable speed.
In the second hour, the environment is yours. Iterate further on the policy library, customize your application, or bring in your own documents and watch the platform adapt.
Every attendee leaves with 30 days of free access to keep deploying, keep building, and keep discovering what the Progress Data Platform can do for their organization.
Taxonomies, ontologies and knowledge management increasingly overlap as organizations seek better ways to organize, connect and apply enterprise knowledge. This educational session explains how knowledge organization systems support knowledge management, why they remain relevant in the age of AI and how they can help turn scattered information into usable business context. The session will define the roles of taxonomies and ontologies, showing how they relate, differ and extend one another. It will then connect those structures to the core components of knowledge management, including knowledge creation, capture, organization, retrieval, sharing, reuse and governance. Attendees will learn how taxonomies support the knowledge management lifecycle by improving consistency, findability, navigation and content organization. The session will also show how ontologies extend these benefits through richer relationships, enterprise knowledge graphs and semantic layers that can support analytics, discovery and AI-enabled applications. Participants will leave with a practical understanding of where taxonomies and ontologies fit within KM strategy, how they strengthen enterprise knowledge programs and how semantic foundations can improve both human and machine use of organizational knowledge.
Taxonomy Consultant, Hedden Information Management
Heather Hedden is a taxonomy consultant who has been working in the field of taxonomies and information management for 30 years and more recently has also gotten into ontology design. In addition to working as an independent consultant, Heather has been employed in taxonomist roles... Read More →
Wednesday September 16, 2026 9:15am - 10:15am EDT Lake Thoreau Track 4Hyatt Regency Reston, VA
No prior Semaphore experience required 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.
What does it look like when enterprise-grade data management, semantic enrichment, and modern UI components come together in a single, deployable package? In this session, you're going to find out by building it yourself.
This two-hour hands-on training takes you inside the Progress Data Platform (PDP), designed to get you from zero to working application as fast as possible. No complex pre-configuration, no black-box magic, just a powerful platform you can see, touch, and understand.
We'll start with a guided walkthrough of the PDP package you're about to deploy. Then, working together inside a pre-configured CloudShare environment with VS Code open so you can see exactly what's happening under the hood you'll use the platform's agentic deployer to stand up the full stack. Watch as the components install, connect, and come to life in real time.
Once the environment is running, the platform itself generates a policy document library, ingesting, indexing, and making it immediately queryable. In the first hour, you'll work through this shared scenario together, exploring how PDP handles complex enterprise data, adds semantic intelligence on top of it, and let's you vibe-code a polished application with remarkable speed.
In the second hour, the environment is yours. Iterate further on the policy library, customize your application, or bring in your own documents and watch the platform adapt.
Every attendee leaves with 30 days of free access to keep deploying, keep building, and keep discovering what the Progress Data Platform can do for their organization.
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.
As organizations race to deploy AI agents across critical business processes, many discover that AI is only as trustworthy as the data and context behind it. In this session, Datavid will explore how organizations can evolve from traditional operational data hubs to a true "Company Brain"—a semantic layer that connects data, knowledge, business rules, and organizational context into a unified foundation for AI.
Attendees will learn how semantic technologies, knowledge graphs, and governed metadata help AI agents move beyond simple data retrieval to deliver explainable, trustworthy, and business-aware outcomes. Through real-world examples, this session will demonstrate how enterprises can reduce hallucinations, improve transparency, and provide the context AI agents need to make informed decisions—turning fragmented information into a strategic advantage for the AI era.
Healthcare providers delivering in-home urgent care must make timely, accurate decisions using patient information that is often fragmented across electronic health records, clinical notes, referral documents, operational systems, and real-time field data. Converting this scattered mix of structured and unstructured information into trusted, actionable decisions is critical for improving patient outcomes while maximizing limited clinical resources.
We will present a case-study about a next-generation, AI-powered platform that transforms mobile integrated healthcare by unifying an intelligent human in the loop triage agent, AI-generated clinical notes, accurate volume forecasting, and an automated service-assignment agent. The Triage Agent assists clinicians during patient intake by transcribing phone calls, extracting key information from those calls, analyzing symptoms, patient history, and clinical guidelines to recommend the appropriate level of care with transparent, explainable recommendations. The human in the loop reduces patient care risks and provides the feedback to improve agent’s performance. The Service Provisioning Agent then identifies the most appropriate paramedic based on clinical qualifications, availability, location, workload, and equipment, generates an optimized route, and continuously adapts assignments as conditions such as traffic, emergencies, or resource availability change.
Attendees will see how the solution enables organizations to build trusted and highly accurate AI systems that combine traditional AI, semantic graph intelligence, business rules, and agentic workflows to turn scattered healthcare data into real-time, actionable intelligence, delivering faster response times, improved operational efficiency, and better patient care.
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.
No prior PDP experience required What does it look like when enterprise-grade data management, semantic enrichment, and modern UI components come together in a single, deployable package? In this session, you're going to find out by building it yourself.
This two-hour hands-on training takes you inside the Progress Data Platform (PDP), designed to get you from zero to working application as fast as possible. No complex pre-configuration, no black-box magic, just a powerful platform you can see, touch, and understand.
We'll start with a guided walkthrough of the PDP package you're about to deploy. Then, working together inside a pre-configured CloudShare environment with VS Code open so you can see exactly what's happening under the hood you'll use the platform's agentic deployer to stand up the full stack. Watch as the components install, connect, and come to life in real time.
Once the environment is running, the platform itself generates a policy document library, ingesting, indexing, and making it immediately queryable. In the first hour, you'll work through this shared scenario together, exploring how PDP handles complex enterprise data, adds semantic intelligence on top of it, and let's you vibe-code a polished application with remarkable speed.
In the second hour, the environment is yours. Iterate further on the policy library, customize your application, or bring in your own documents and watch the platform adapt.
Every attendee leaves with 30 days of free access to keep deploying, keep building, and keep discovering what the Progress Data Platform can do for their organization.
No prior Semaphore experience required 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.
What does it look like when enterprise-grade data management, semantic enrichment, and modern UI components come together in a single, deployable package? In this session, you're going to find out by building it yourself.
This two-hour hands-on training takes you inside the Progress Data Platform (PDP), designed to get you from zero to working application as fast as possible. No complex pre-configuration, no black-box magic, just a powerful platform you can see, touch, and understand.
We'll start with a guided walkthrough of the PDP package you're about to deploy. Then, working together inside a pre-configured CloudShare environment with VS Code open so you can see exactly what's happening under the hood you'll use the platform's agentic deployer to stand up the full stack. Watch as the components install, connect, and come to life in real time.
Once the environment is running, the platform itself generates a policy document library, ingesting, indexing, and making it immediately queryable. In the first hour, you'll work through this shared scenario together, exploring how PDP handles complex enterprise data, adds semantic intelligence on top of it, and let's you vibe-code a polished application with remarkable speed.
In the second hour, the environment is yours. Iterate further on the policy library, customize your application, or bring in your own documents and watch the platform adapt.
Every attendee leaves with 30 days of free access to keep deploying, keep building, and keep discovering what the Progress Data Platform can do for their organization.
Learn how AWS is helping organizations move AI initiatives from experimentation into scalable production environments. This session will explore Amazon's latest approach to deploying enterprise AI and how Progress Agentic RAG can support the development of grounded, context-aware AI applications. Attendees will also learn how the new AWS AgentCore Harness connector integrates with Progress Agentic RAG to help organizations connect enterprise information with AWS AI services and operationalize agentic AI within production environments. The session will cover practical considerations for integration, scalability, governance, and deployment.
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.
Securing business buy-in remains one of the most important barriers to successful data, AI and knowledge management initiatives. Technical teams often understand the capability, but struggle to express its value in terms that resonate with finance, operations and executive stakeholders. This session provides a practical framework for translating technical investments into business outcomes that can be understood, funded and sustained.
The session will examine how to connect platform capabilities to measurable value, including efficiency gains, improved decision-making, reduced risk, better customer or citizen outcomes and stronger operational resilience. Attendees will learn how to frame ROI in financial and operational terms, link initiatives to key performance and risk indicators, and anticipate the questions stakeholders are likely to raise before approval.
Drawing on field-tested examples, the session will also explore how to build consensus across functions, manage competing priorities and keep business sponsors engaged after initial approval. Participants will leave with a practical approach for turning technology proposals into business-backed programs with clear ownership, measurable impact and long-term adoption.
