Name: Metadata: Agile Integration with the MarkLogic Optic API
Start: 2022-11-17T16:00:00Z
End: 2022-11-17T16:01:03.000Z
Location: BrightTALK
Rating: 5

Large, knowledge-rich, regulated enterprises can turn scattered, fragmented data into trusted decisions, fast today, scalable tomorrow, so teams ship work sooner, reduce risk, and prove ROI with human-centric, contextual AI. 

Hear from organizations — our customers — on how they’re creating trustworthy, accurate, and cost-effective AI applications and business insight engines with the Progress Data Platform for AI.

Discover how to build enterprise-ready AI systems with insights from Progress experts — developers, engineers, and knowledge managers — who will share proven strategies and best practices for success.


AI leaders are under pressure to turn unstructured content into measurable outcomes quickly. But most DIY RAG projects stall in the messy middle: connectors, security, data governance, evaluation, and ongoing MLOps. On top of that, the technical stack is getting more complex - moving from basic RAG to Agentic RAG and now Model Context Protocols (MCPs) that broker connections to enterprise systems. In this session, we’ll compare internal “build” paths with Agentic RAG-as-a-Service, showing how a managed, modular stack accelerates time-to-value and de-risks production.

We’ll demystify the core components, covering what RAG is beyond the buzzwords, how Agentic RAG extends it with agents and workflows, and where MCPs fit into the architecture. From there, we’ll have a pragmatic build-vs-buy discussion, then look at how Agentic RAG moves from ingestion to verifiable, explainable answers with evaluation and governance baked in, so you can scale confidently.

Topics will include:
Why DIY RAG stalls AI projects time and time again
What are the building blocks of a RAG implementation and how do they fit together
The pros and cons of “build or buy” RAG
What RAG-as-a-Service actually delivers

Build vs. Buy for Enterprise RAG: The TCO, Risk & Speed Case for Agentic RAG-as-a-Service

Connecting to REST APIs shouldn’t be a manual, code-heavy process. Progress DataDirect Autonomous REST Connector makes it easy to integrate any REST data source with any SQL-based application or BI tool—without coding.

This intelligent connector automatically interprets REST API responses and maps them to relational models, giving your business real-time, SQL-based access to even the most complex APIs.

In this short Coffee Chat, you'll learn how to:

Build custom connectors for any API quickly
Reduce dev costs and time-to-market using autonomous data connectivity
Speed up analytics, BI and reporting with universal API access

Coffee Chat- Instantly Connect to Any REST API with Autonomous REST Connector

Are You Ready for an AI-Powered Future?

In today’s business landscape, data is your most powerful asset, but only if it’s accessible, digestible and ready for implementation. Progress recently surveyed enterprise leaders to understand the state of data readiness, uncovering critical insights across four key areas.

In this on-demand webinar, you'll hear David Loshin, Data and Information expert from Knowledge Integrity, Inc., dive deeper into the findings from Progress’ latest report. The report results highlight that while many organizations recognize the potential of AI, data challenges are still a major barrier.   

You’ll leave the webinar with key takeaways around topics like these:

- Data Literacy & Accessibility: Are teams able to find and use the data they need?
- Business Initiative Support: How well does your data landscape enable innovation and growth?
- Data Readiness for AI: Is your data prepared to fuel AI and advanced analytics initiatives?
- Data Governance & Risk Management: Are proper controls in place to facilitate  compliant, trustworthy AI outcomes?

Unlock the AI Insights Your Data Holds: Progress Survey Findings

Technology teams know their platforms deliver value but proving that value in financial terms can be an uphill battle. ROI often feels abstract and, without a clear framework, it’s difficult to baseline benefits, align with business expectations or justify future investment. 

In this on-demand webinar, Gerard Rebalsky, Senior Strategic Account Executive at Progress, shares practical methods for turning ROI into a concrete story that resonates across the organization. You’ll discover techniques for:

- Simplifying ROI for data and knowledge management  projects and making it easier to measure
- Setting a baseline of value and tracking ROI progress over time          
- Translating performance metrics into business impact   
- Communicating ROI effectively to leadership

Whether you’re an IT leader, architect, business owner or part of a digital transformation team evaluating a new solution or validating an existing one, you’ll gain practical approaches to prove ROI and accelerate adoption. We’ll illustrate how the Progress Semaphore platform’s semantic approach helps organizations demonstrate tangible value from their knowledge management and metadata investments.

Making ROI Real: Proving the Value of Data and Knowledge Management Investments

Over decades of research, Syngenta has accumulated vast amounts of R&D knowledge locked away in legacy systems, siloed repositories and spreadsheets. However, the challenge has been how to make this hidden knowledge findable, accessible and reusable for today’s scientists. 

In this webinar, a Syngenta expert shares how the Synapse platform, a new-generation enterprise search solution, is helping researchers uncover relevant insights from early research, reduce time wasted on searching and accelerate innovation in crop science.   
 
Powered by Progress MarkLogic and Progress Semaphore technologies, and delivered in partnership with Datavid, Synapse uses semantic enrichment, AI and knowledge graphs to connect information across diverse sources and turn it into actionable intelligence. 

In this session, you’ll discover: 

- Ways that semantic search and knowledge graphs empower scientists to retrieve critical lab results in seconds 
Real-world impacts of Synapse on researcher productivity and scientific innovation 

- Efficiency gains from reducing study duplication and surfacing historical experiments 

- Future opportunities to extend this approach across life sciences and AI-driven R&D

Unlocking Historical Knowledge to Discover Untapped Scientific Value

Alysia Eve, Head of Pricing and Commercialization, Progress Software & Eudald Camprubi, Co-Founder and former CEO, Nuclia will be talking through Data, Analytics & AI leaders.

Enhancing Agentic RAG for Data, Analytics and AI Leaders - Fireside chat

Discover how the addition of Progress Agentic RAG into the Progress portfolio is transforming the user experience by delivering a ready-to-deploy solution. This session will showcase out-of-the-box data acquisition, enrichment, and seamless integration into websites and business processes. 

Learn how agent-based retrieval enables real-time, on-demand structured information that complements your existing data fabric, mesh, and graph. Join us to explore how this powerful combination accelerates insight and enhances operational agility.

Introducing the Progress Agentic RAG Platform | Progress Data Platform Summit 2025

When MHC, a leading intelligent document automation SaaS solution provider, set out to deliver advanced AI-powered features to its customers, they ran into a familiar obstacle—critical data was locked away in legacy, on-premises systems, often behind firewalls. Traditional integration approaches were complex, inconsistent and costly.

In this on-demand webinar, you'll hear how MHC overcame these challenges to securely connect cloud applications to on-premises customer data with minimal development effort and no need for data replication or migration.

We’ll explore how MHC:

- Unified access to siloed data for real-time AI processing
- Built a secure, scalable hybrid architecture
- Reduced development overhead and sped up deployment
- Gained a flexible foundation for future AI innovation

Whether you’re a data architect, IT leader or part of a SaaS team, you'll gain practical takeaways and technical insights you can apply to your own hybrid data strategy.

A Customer’s Journey to Secure Cloud Access and Automation

Progress® MarkLogic® Server 12 incorporates next-generation search capabilities into the most flexible database to empower users and LLMs with the right information. 

Join the Product and Engineering teams for an interactive session as they unveil what’s new in MarkLogic Server 12. Get expert insights, live demos and practical guidance to help you plan your upgrade and get more value from your data platform.

What You’ll Learn: 

- How to use the latest search capabilities to maximize LLM outputs
- The benefits of Virtual Views for ad-hoc analytics, data discovery and more
- Ways to scale clusters up and down to stay resilient during periods of high demand

What’s New in Progress MarkLogic Server 12

Explore how to get the most out of your ProgressÒ SemaphoreÔ implementation and how it fits into the broader Progress Data Platform in this exclusive coffee chat with the Semaphore team.

This session features Jim Morris and Biju George, who will share practical insights, real-world examples and strategic advice. Following the discussion, there will be an open Q&A session.

In this “coffee chat”, you'll discover:

- Actionable ways to maximize the value of the Semaphore platform
- Real-world use cases and success strategies
- Key components of the Progress Data Platform and what's in store

Whether you're new to the Semaphore product, or looking to expand your usage, this session is designed to help you unlock more value and learn what’s possible when the platform is part of a connected data strategy.

View the on-demand webinar today!

Coffee Chat: How to Maximize the Value of Your Metadata Platform Investment

Connecting to REST APIs shouldn’t be a manual, code-heavy process. Progress DataDirect Autonomous REST Connector makes it easy to integrate any REST data source with any SQL-based application or BI tool—without coding.

This intelligent connector automatically interprets REST API responses and maps them to relational models, giving your business real-time, SQL-based access to even the most complex APIs.

In this short Coffee Chat, you'll learn how to:

- Build custom connectors for any API quickly
- Reduce dev costs and time-to-market using autonomous data connectivity
- Speed up analytics, BI and reporting with universal API access

View the on-demand webinar today!

Coffee Chat: Instantly Connect to Any REST API with Autonomous REST Connector

Innovation and research go hand in hand, and staying ahead in R&D requires the right tools. Generative AI is transforming the field, opening up new possibilities and applications.

Leveraging AI and Future Ready Data to Accelerate R&D

Financial fraud techniques are evolving in scale and sophistication. Modern fraudsters operate across identities, devices and geographies and exploit blind spots within siloed data systems, making it increasingly difficult for analysts to rely on traditional methods to detect suspicious activity.  

With regulatory pressure mounting, tightened customer protection requirements and collaborative institutional intelligence sharing are necessary for effective fraud prevention. This is where multi-model data management and visualization offer a powerful remedy to this complexity.

Join experts from Cambridge Intelligence and Progress for a live demo of advanced data visualization. You’ll learn how to:  

-> Unify your data intelligence into a single data platform to enable real-time collaboration and secure sharing across your organization and with external partners 
-> Visualize hidden fraud networks through intuitive interfaces to enable analysts to navigate and uncover complex relationship patterns other systems miss  
-> Accelerate investigation workflows that trace suspicious activity to transform weeks of manual investigation into hours of analysis

How to Prevent Financial Fraud with Real-Time Graph Analytics

Powering AI/ML & Analytics
with Smarter Data Engineering

AI/ML and advanced analytics are only as powerful as the data fueling them. Without a solid data engineering foundation, even the most sophisticated models and applications will fall short.

Join us for a special roundtable webinar to explore how smarter data engineering can accelerate AI/ML performance, streamline analytics, and enable real-time decision-making. Industry experts will share best practices for building scalable, efficient data pipelines that power intelligent applications.

You'll learn:

How to design high-performance data architectures for AI/ML
Strategies for optimizing data pipelines and reducing latency
Best practices for integrating real-time analytics into your stack
The latest tools and technologies transforming data engineering

Powering AI/ML & Analytics with Smarter Data Engineering

The publishing industry is facing mounting pressure to innovate with new digital products and monetize back catalogs. AI is challenging traditional workflows and user’s content consumption behavior, requiring new technology responses to keep pace with industry demands. 

Join Rodney Fulford, Assistant Director, Content and Technology Strategy, CAS and experts from Progress and Datavid as they explore how AI is transforming publishing systems and ways to use it to your advantage. 

Rodney will share the CAS data-centric approach to modernizing the content management pipeline and how they leveraged the Progress MarkLogic platform as a core technology to launch a new product line and accelerate time to market. 

In this session, you’ll learn about: 

• The importance of smart content and semantic search for question-answer systems and LLMs 
• Strategies to monetize catalogs through a portfolio of new digital products
• The power of data agility to meet demanding IT and business requirements within tight timelines

How Semantic Search and GenAI Unlock New Product Opportunities in Publishing

Software companies drive business and maintain market share by innovating and delivering the products their customers demand. For independent software vendors (ISVs), one critical piece of the software development process is the need for data access and connectivity to new types of data sources.

As new data sources appear, new connectivity methods become necessary. Software development and roadmap features must change quickly to support these needs. An embedded connectivity solution helps prevent product delays that could impact business’s bottom line.

In this webinar, you’ll learn why ISVs should consider embedded connectivity solutions. You’ll also hear how to:

- Reduce complexity while delivering a more comprehensive software solution
- Stay ahead of customer needs for reporting dashboards and analytics with an embedded data solution
- Enhance application performance and reliability

Learn how to gain essential connectivity and a competitive advantage in this on-demand session.

Why ISVs Embed Data Connectivity

This is a two-part special to launch MarkLogic 11 and give you an overview of the new direction we’re taking our data platform.  Jeff Casale, MarkLogic CEO will give his keynote address, giving you a great insight into how we are going to develop MarkLogic, the agile nature of this development and why we are innovating in such a fashion.  Afterwards Jeff we will be joined by MarkLogic’s Chief Customer Officer, John Loparco for a fireside chat about the role our customers play in the development of MarkLogic and why we are taking such a customer-focused approach to our data platform’s development.  Chairing this discussion will be our special guest speaker, Chris J. Preimesberger, Writer/editor at VentureBeat & ZDNet as well as Editor Emeritus at eWEEK. 

During the event we’ll give you a sneak-peak at MarkLogic 11’s new features including:

- Extended platform capabilities including BI tool integration (GraphQL support), GIS tool integration (enhanced OpenGIS and GeoSPARQL support) and a new security option for external authentication (OAuth).
- Enhanced multi-model analytics that extend our unique multi-model query language to include geospatial, and even easier integration with BI tools like Tableu
- Geospatial analysis – a more flexible model for indexing and querying geospatial data, scalable export of large geospatial result sets, interoperability with GIS tools; includes support for OpenGIS and GeoSPARQL
- Queries at scale – Improved support for large analytic, reporting, and/or export queries
- Docker and Kubernetes support

For more details on MarkLogic 11, go to our dedicated ML11 page at www.marklogic.com/ml11/

Agile Innovation with MarkLogic 11

Join us for part 1 of this 2 part webinar series to explore the importance of metadata, its capture, and the context, meaning, and insight it adds to make your data machine interpretable—easier to understand so that it can be used to drive more value across your business and to customers. Then, connect and query any data—including SQL—and metadata with a single, powerful tool: the MarkLogic Optic API.

On 17th November at 4pm GMT, part 2 of the series will provide a technical deep dive into the MarkLogic Optic API, a revolutionary solution that blends the relational world with rich NoSQL document features by providing the capability to perform joins and aggregates over documents. Discover the enabling features of the Optic API including Template Driven Extraction, which makes it possible to create a relational lens over documents stored in MarkLogic by using templates to specify the parts of a document that make up a row in a view. Then access that data, including relational, graph, document, and—coming soon in MarkLogic 11—geospatial data, using either SQL or the Optic API. 

Be sure to register for both parts of this educational series to secure your seat.

Metadata: What, Why, and How

By now, you’ve heard about our recent acquisition of Smartlogic but what does it mean for you, our customers and partners? MarkLogic, now enhanced with Semaphore, not only supports a multi-model, complex data environment, but also uses semantic AI technology to create and assign metadata for richer meaning and context. Eliminate silos with deeply integrated data coupled with everything known about it to achieve data agility.
 
Join MarkLogic executives for the first of our new Vision series to discover:
 
- The only semantic data platform that delivers data agility
- What exactly is “data agility” and how does it add business value
- New platform capabilities, including: content classification, fact extraction and knowledge model management
- How to turn your data into knowledge and uncover insights that drive innovation
- Key dates and product milestones you can expect over the next 12 months

Realizing Data Agility: A Strategy Briefing for Customers and Partners

MarkLogic VISION

In part 1 of this 2-part series, we explore the importance of metadata, its capture, and the context, meaning, and insight it adds to make your data machine interpretable—easier to understand so that it can be used to drive more value across your business and to customers. Now in part 2, we'll demonstrate how to connect and query any data—including SQL—and metadata with a single, powerful tool: the MarkLogic Optic API.

Our revolutionary Optic API blends the relational world with rich NoSQL document features by providing the capability to perform joins and aggregates over documents. One of the enabling features, Template Driven Extraction, makes it possible to create a relational lens over documents stored in MarkLogic by using templates to specify the parts of a document that make up a row in a view. You can access that data, including relational, graph, document, and—coming soon in MarkLogic 11—geospatial data, using either SQL or the Optic API.

Metadata: Agile Integration with the MarkLogic Optic API

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Metadata: Agile Integration with the MarkLogic Optic API

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