~/conference

Progress Data Platform Summit 2025

date:2025-09-14..2025-09-16
location:Washington, D.C., United States
series:Progress Data Platform Summit · one edition

Join fellow data & AI professionals in Reston, VA on September 14th-16th, 2026. Save the date & register today!

titleauthorlength
Highlights02m
Claims that Project 12 is a critical, foundational release for the company’s AI strategy and positions the data platform as the core for moving from AI…
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Unlocking Tomorrow's PotentialYogesh Gupta47m
Company announces an integrated data stack that links MarkLogic (acquired 2023), Semaphore and OpenEdge into the Progress Data Platform to feed LLMs with…
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From Queries and Keywords to Answers, Insights and AgentsJohn Ainsworth37m
Demo shows the Progress Data Platform using MarkLogic-powered natural language queries and FastTrack UI to connect OpenEdge ERP, SharePoint docs, DataDirect…
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Operation Roadmap: Now and Next for theSergei Sokolov, Eudald Camprubi01h 24m
Progress Data Platform now ships MarkLogic 12 (GA Sept 10) combining vector search, graph algorithms and BM25 plus virtual views; a new Agentic RAG pipeline…
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Next-Generation Content Production in Denied Communication Environments Using MarkLogic ReplicationBrian Ippolito35m
Contiem’s RSuite CCMS runs on MarkLogic Flexible Replication to support bi‑directional, granular sync for disconnected operations; it replicates and merges…
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for Semantic Models of Engineering Specifications that Enable Digital ThreadsMark Dahl, Ellen McGowan29m
Boeing moves 40% of product definition into a service-backed content platform using MarkLogic + RSuite, embedding embedded RDF triples inside refactored XML so…
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Observability: Catch Problems Before They HappenDave Cassel41m
A three‑node cluster fails a deployment because a node is down for two months and a second node is also offline, demonstrating lack of monitoring; coverage…
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High-Performance Data Connectivity: Integrating MarkLogic with Progress DataDirectAaron Burg, Stephen Crook40m
Flux claims to replace MLCP CORB and DM SDK with one CLI and Java/Spark API, and shows live demos: Flux combines MLCP CORB and DM SDK to import JDBC data from…
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Logic at the Core: Why Business Rules Belong in the MarkLogic PlatformJames Arsenault33m
Corticon.js generates a self‑contained JavaScript bundle that runs natively inside MarkLogic (or on Node, AWS Lambda, Azure) so rule logic executes where the…
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Data Challenges and AI Impact in Research-Driven OrganizationsNarayan Ramesh39m
Claims that AI and modeling cut discovery time by integrating experiments with computation and automation, demonstrated by a 10–100x throughput high‑throughput…
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Agents of Change: From Time Saved to Intelligence ActivatedAri Lehavi, Imran Chaudhri42m
Argues for building a shared “agent habitat” that logs everything and makes agents bi-directional so human judgments become retrievable institutional memory…
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AI Context Engineering for R&D Knowledge Using a Multi-Model DatabaseFan Li33m
A reproducible pipeline ingests heterogeneous R&D content into MarkLogic multimodel, extracts metadata and chemical templates, adds BM25 and vector indexes…
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Agentic RAG Platform for AI-Assisted WorkflowsMichael Marolda, Drew Lent, Quinton Buesching39m
An end-to-end Agentic RAG platform that ingests PDF, PowerPoint, audio and video, OCRs and chunks text, runs NER to build a knowledge graph (17 entity types)…
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CAS: A Data-Centric Approach to Content ManagementRodney Fulford47m
CAS modernizes century‑old content by replacing 86 legacy systems with a single MarkLogic repository that handles ingestion, curation, search…
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on AWS: Achieving Operational ZenKenyon Wilker32m
Claims that AWS setups deploy MarkLogic 12 from marketplace or CloudFormation in about ten minutes, use autoscaling groups to autoscaling self-healing (15 min…
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From Silos to Synergy: Enable Unified, Actionable Intelligence withJames Kerr, Drew Wanczowski, Sergei Sokolov31m
Shows a working pipeline that pulls Salesforce accounts and opportunities into MarkLogic (hosted on Progress Data Cloud), enriches text with Semaphore NLP…
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Your Next Publishing Product Should Be Aimed at AI AgentsDemian Hess33m
Argues publishers must build for AI agents by running an MCP server with OAuth authentication that mediates access to publisher knowledge bases. Demo uses four…
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Content Classification: NLP vs. AI in the Age of Data VectorizationArthur Patterson44m
Argues that governed taxonomies plus rule‑based NLP deliver repeatable, auditable classification that reaches mid‑90s accuracy after a human‑curated golden…
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Operationalizing AI Across the EnterpriseEd Keisling48m
Claims that 95% of AI pilots fail (MIT, n=53) clash with Microsoft’s claim that 85% of Fortune 500 deploy AI and two thirds see benefits; reality shows…
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The Importance of Business Value in the Age of AIGerard Rebalsky30m
Argues that ROI and clear outcomes decide AI funding, not feature lists, showing a startup that uses a vector database and a ML model to raise win rate by 1% —…
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FastTrack: Visualize Interconnected Data in ContextBrian Griffin28m
FastTrack is a React toolkit that connects to a MarkLogic data hub and ships a data access layer, sample apps and reusable components (graphs, maps, timelines…
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Data Migration Strategies and Transformation for Use by Third-Party Tool,Mark Dahl, Ryan Kelley, Sumit Dutta28m
Migrates millions of legacy XML documents into MarkLogic, using DMSDK for batched, multi-threaded loads with per-batch validation and collection tagging for…
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Managing and Monitoring Marklogic for Reliability At Scale: A Customer Use CaseMads Hansen49m
Runbooks and configs that let MarkLogic handle billions of records and thousands of transactions per second: use production‑scale, redacted data for load…
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MCP Demystified: Cutting Through the Hype-What It Is, What Isn't & Its Role in the Agentic RAG StackTushar Dhaka47m
Explains MCP as a JSON‑RPC protocol (transports: stdio / HTTP / SSE) that standardizes tools, prompts, resources so LLMs call enterprise APIs instead of custom…
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An Introduction to Semaphore: Solving Problems with SemanticsBrian Cross, Rachel Leach46m
Semaphore claims it converts the stated 80% of enterprise data that is unstructured into searchable knowledge graphs and taxonomies, using three modules…
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Safely Capture Institutional Knowledge UsingJonathan Wintermeyer, Eric Olson45m
Project ingests about 5 million documents (≈6.5 TB, ~16 million PDF pages) via Apache NiFi into MarkLogic, extracts text with the document filter, enriches…
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Stop Boiling the Ocean: An Iterative Data StrategyChris Smith40m
Mississippi replaces a stalled three‑year RFP with an incremental, standards‑based stack: MarkLogic operational data store as the hub, Mesa claims engine kept…
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Optimizing Spending & Improving Pension Services for Workers Using Docs with Semantic KnowledgeGraphLuis Basilio36m
IMSS builds a semantic knowledge graph over 200 enterprise apps and a 2+ petabyte data lake to manage ~80 million affiliates and about 5 million pensioners…
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Understanding the Variety of MarkLogic Use CasesDavid Kaaret45m
Progress Data Platform with MarkLogic and Semaphore claims to solve “hard” multi‑model problems by ingesting relational, JSON, XML and triples into one store…
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