Integrating and managing data across disparate silos is complex but with Progress MarkLogic, it doesn't have to be. The MarkLogic Data Platform (including Semaphore Semantic metadata management) unlocks value from your most critical business data with more agility and security than ever before. This channel is dedicated to showcasing real-world examples of how customers and partners have simplified complex data with MarkLogic and Semaphore. Learn how you too can rapidly deliver value back to the business by leveraging data that historically was inaccessible without months—or even years—of development. Learn more on www.progress.com/marklogic and www.progress.com/semaphore

Generative AI is pushing us to reevaluate, advance and even reshape our data stacks. Data and IT teams are being asked to scale data workloads and storage and integrate sources spanning diverse environments. All of this makes the concept of an agile data architecture a priority for generative AI implementation plans.  

The Progress® MarkLogic® Data Hub enables semantic searches for an AI-ready data architecture. Thanks to its multi-model and harmonization capabilities, the data hub pattern can also address data quality challenges and help improve data trustworthiness by retrieving the most relevant content to support generative AI use cases.

Explore how a data hub architecture can lay the necessary foundation for harnessing generative AI. The team provides a demo on personalized care delivery showcasing a growing use case of LLMs—enabling non-technical end-users and SMEs to query data with natural language to solve complex decisions. 

You’ll learn about: 

   - Integrating siloed data for accurate input in generative AI-driven solutions 
   - Building scalable data flows and querying multi-model data as a single whole 
   - Enabling LLMs and semantic search with the MarkLogic Data Hub 
   - Delivering personalized care to diabetes patients with AI-powered decision support (Demo) 

Learn how a data hub can help you get started with your AI journey today.

Evolving Your Data Architecture for Trustworthy Generative AI

Taxonomies, at their core, enable effective classification and management of information. But there is much more you can do with taxonomies to enhance your information architecture—like applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see a 300% increase in business outcomes and reduced data and analytics costs. Progressing from taxonomies to a semantic layer can be a game-changing solution that allows you to connect information silos, alleviate knowledge gaps and derive actionable insights from your data and content.

Heather Hedden, Enterprise Knowledge’s Taxonomy Consultant, goes over the value of taxonomies and why they should be integrated into a semantic layer vs residing in silos. Heather is joined by Jim Morris, Progress Semaphore Senior Sales Engineer, who showcases how to connect data and demonstrate how Progress Semaphore supports the development of a semantic layer.

In this webinar, you will learn about:

   - The essence and purpose of taxonomies in data management
   - Advantages of using semantic layers to leverage organizational taxonomies
   - Common approaches to creating a semantic layer
   - How Progress Semaphore extends taxonomies into semantic layers

Explore how using a semantic layer can enable actionable insights and streamline data and analytics access throughout your organization.

Check out the Enterprise Knowledge homepage: https://url.us.m.mimecastprotect.com/s/RIZOCv2wVwHZEjXJSQY2Dh?domain=enterprise-knowledge.com

The Role of Taxonomy and Ontology in Semantic Layers

Semantic technologies have been around for a long time, but with the surging interest in knowledge graphs and AI technologies, their use has become paramount. The evolution of semantic technologies continues to shape how we interact with and derive value from data.   

Semantic platforms give context to data. These technologies work with the full breadth of your organization's data to develop a semantic knowledge model that helps you turn unstructured knowledge into quality information, discover unknowns and knowledge gaps and drive actionable intelligence.   

Steve Ingram, Sales Engineering Manager at Progress, explores how the Progress Semaphore semantic platform can revolutionize your understanding of data. You’ll learn:  

   - Why semantic technologies matter
   - How to better respond to current data challenges with semantic technologies
   - How Progress Semaphore can help you extract intelligence from complex, unstructured data
   - Why Semaphore is the right semantic technology partner for your organization

Whether you’re a data scientist, business analyst or knowledge user, you’ll gain invaluable insights on using semantic technologies to contextualize your data and unlock its full potential. 

Intro & Agenda: 00:00 - 1:33
Unstructured Data: 1:34 - 6:48
Semantic Technologies: 6:49 - 10:20
Intro to Knowledge Models: 10:21 - 20:04
Demo 1: 20:05 - 32:51
Demo 2: 32:52 - 41:27
Q&A - 41:28 - 1:00:49

From Unstructured Data to Rich Insights with Semantic Technologies

The advent of AI coupled with companies’ need to leverage context-rich data for smarter decision-making has highlighted the value of qualitative and unstructured data. 

But traditional enterprise architectures have focused on the business application, which has led to continued data fragmentation across the organization, and poor business insights from that data. Low-quality, poorly governed data decreases business agility and increases integration costs. 

A data-centric approach, by comparison, treats data as a workstream. It helps organizations effectively manage the full data supply chain, transform a siloed business environment for democratized data sharing and tap into its enterprise knowledge. 

Daniel Roberts, Senior Manager, Sales Engineering at Progress, explores: 

   - Differences between app-centric and data-centric architectures 
   - Benefits of data centricity for complex data management 
   - The move towards knowledge graphs and the technology you need to support it 
   - Use cases that could benefit from transitioning to a data-centric architecture 
   - How to build data hubs, data fabric and knowledge graphs with Progress MarkLogic 

Learn how to adapt and future-proof your current data architecture to sustain company growth and emerging market demands for the next five years and beyond. 

Intro & Agenda 00:00 - 4:10
Wealth Management Case Study 4:11 - 6:43
App-Centric Data Architecture & Enterprise Vocabulary 6:44 - 10:29
Ideological Architecture, Comparisons, and Approach 10-30 - 21:43
What about Unstructured Data? 21:44 - 26:53
Benefits of a Data-Centric Approach 26:54 - 28:36
Data-Centric Approach with Data Fabric 28:37 - 33:14
Data Mesh 33:15 - 36:20
Delivering a Data-Centric Architecture 36:21 - 37:34
What is a Data Hub and its Advantages? 37:35 -  39:33
Knowledge Graphs 39:34 - 41:06
How MarkLogic & Semaphore Transform Your Architecture 41:07 - 53:26
Key Takeaways & Questions 53:27 - 1:05:44

Why You Need a Data Centric Architecture in 2024

AI is pioneering new and innovative opportunities for enterprises, revolutionizing the way they operate and interact within their business ecosystems. To capitalize on these opportunities, an agile, data-first strategy is required to support innovation and growth, enabling human expertise at a machine scale. This exclusive AI roundtable discussion will bring together industry experts to delve into the transformative power of AI and highlight the importance of data quality as a fundamental pillar underpinning the reliability, accuracy and relevancy of AI-driven solutions. From empowering workforces with new skills to harnessing AI for data-driven decision-making, the roundtable spotlights the human element steering AI’s integration and evolution within businesses.  

Join Progress MarkLogic's Senior Customer Success Manager, Philip Miller, as he hosts Matthieu Jonglez, VP Technology at Progress, and his team of expert MarkLogic architects, developers and engineers, to discuss industry trends, relevant uses cases and next steps for getting started with your AI data-driven journey.  

During this session, you will gain insights on the: 

    - AI trends and emerging customer-centric use cases 
    - Strategic integration of AI into business processes for driving efficiency and productivity 
    - Ethical considerations, biases, fairness and responsibility in AI deployments 
    - Evolution of data accessibility for the workforce 
    - Need for agile technologies to leverage AI in the enterprise  

Register now and explore the AI data-driven businesses that are forging new paths through the fusion of human ingenuity and AI capabilities.

The Human-AI Collaboration Roundtable Discussion

Data governance is not a new topic on business leaders’ agendas. Still, its focus has shifted over the last few years due to the rampant increase in data volume, changes in data protection requirements and uptick in data silos.

Research by Gartner estimates that 80% of organizations will fail to scale digital business because of outdated governance processes. With a semantic approach to data governance, companies can gain a more comprehensive view of their data. This visibility helps bridge the gap between structured and unstructured information—transforming a “necessary evil” into a strategic asset that supports informed decision-making and drives business innovation.

Discover how effective data governance fosters consistent, reliable and trusted data that enables better business decisions and powers digital transformation.

Watch this webinar to:

    - Explore the pivotal role of data governance in driving organizational success
    - Discover the semantic approach to data governance through the consistent use of terms, metadata and modeling
    - Learn how Progress Semaphore supports data governance initiatives that help you comply with current and future regulations

Progress Semaphore's Account Manager, Philippe Delorme, explores an intelligent approach to modern data governance by using semantic technologies to add context and meaning to data. He is joined by Steve Ingram, Sales Engineering Manager, who demonstrates how semantic technologies can foster shared understanding of data, break down data silos and promote collaboration for better business results.

Driving Business Value with Modern Data Governance

Data governance has been around for over a decade, but nothing has underscored the need for clear and effective data governance for business data readiness more deeply than generative AI. While 2023 was the year of the AI rush, in 2024, we will experience a renewed focus on the ethics of data collection and use and strategies for reducing the security risks associated with it.   

Information security, data quality and data richness are becoming prerequisites for companies looking to leverage generative AI. But generative AI hinges primarily on unstructured data, which requires a robust data management foundation to leverage its value. This highlights the need for new data integration and data architecture requirements. Enter data hubs. These systems offer a proven data architecture for greater governance of large and complex data. 

 

David Kaaret, Progress MarkLogic's Principal Sales Engineer, goes over how building a data hub can support effective data and AI governance. The webinar covers: 

    - What the critical components of data governance are  
    - Why data privacy concerns matter  
    - How to better secure critical information and proprietary data 
    - Which governance-first capabilities to look for in a data management tool  
    - How Progress MarkLogic can help you build a data hub and implement a data governance policy that fits your data 

Whatever your data strategy for 2024 looks like, having a strong data management foundation in place is imperative to put the guardrails on your data access.

Data Hub Strategy for Effective AI and Analytics Governance

The financial world is entering a new era as financial institutions and banks prepare to move from SWIFT FIN (MT) and other legacy messaging formats to ISO 20022. This shift will offer a uniform messaging standard that supports the ever-growing need for fast and secure global payments. While the advantages of this shift are notable, the transition poses some challenges. For example, unlike SWIFT MT, ISO 20022 is XML-based. The workload associated with processing XML documents can be greatly minimized with Progress® MarkLogic®. 

MarkLogic's ISO 20022 Accelerator for Payments equips subject matter experts with the information they need to prepare for the ISO 20022 migration. This helps businesses operate more effectively and frees them up to focus on new initiatives.

Watch this webinar to explore:

    - What ISO 20022 means for the financial industry
    - Why businesses will benefit from migrating to ISO 20022
    - What to consider for payments beyond ISO 20022
    - How Progress MarkLogic supports payment processing and analytics
    - How MarkLogic ISO 20022 Accelerator for Payments works

Progress MarkLogic's Sales Engineer, David Kaaret, explores the impact of migrating to the new ISO 20022 messaging standard and demonstrates how MarkLogic eases that effort. Watch to learn how MarkLogic can help facilitate easy integration and enhance data quality and innovation.

Moving to a New World for Payments with ISO 20022

Is your organization struggling to provide insightful analytics across all your data repositories, including structured (like a database) and unstructured (like PDF or Word documents)? Are you concerned you are making decisions with only “part” of the data picture? 

When information is spread across the enterprise in silos and stored in disparate formats and vocabularies, organizations struggle to find relevant information for analysis, management, and reporting.  

Data can power businesses into the future, but only if organizations can make sense of it all. IDC Research predicts that 80% of worldwide data will be unstructured by 2025, yet most organizations only make decisions on the structured portion of their data.  

To effectively manage enterprise information and get a holistic view of it, it is essential for companies to harmonize their data across all sources—structured and unstructured. Discover how harmonizing your data can revolutionize your analytical capabilities, drive informed decision making, and unlock hidden insights. 

Watch this webinar to:  
    - Understand the issues impacting the analysis of structured vs. unstructured data 
    - Explore the concept of data harmonization and the use of common metadata vocabularies 
    - Learn how Progress® Semaphore™ can facilitate data harmonization for enhanced analytics, including through the extraction of relevant information from unstructured data 

Progress Semaphore's Account Manager, Stephen Reed, explores the pivotal role of data harmonization and its profound ability to knock down the data silos in your organization. He is joined by Jim Morris, Sales Engineer, who will demonstrate the impact data harmonization can have on your analytics capabilities and business decision-making.

More information www.progress.com/semaphore

Data Harmonization for Better Business Decisions

Watch the January edition of our Community Program for 2024, designed to bring together MarkLogic experts, customers, partners, and future MarkLogic innovators. Joining us during these monthly webinars will be our team of expert MarkLogic engineers and developers, along with industry leaders, to discuss the latest innovations in our data platform.

We’re kicking off the new year by giving you a preview of what the road ahead will look like for Progress MarkLogic. During the session, we discussed:

- Our 2024 plans in a Q&A with VP of Technology, Matthieu Jonglez
- Results of the Progress acquisition
- Stories of customer support
- Highlights of our product roadmaps
- Where we’ll be and how you can meet up with us this year

MarkLogic Community January 2024

Knowledge graphs have emerged as a powerful tool for organizing and connecting large amounts of data, as they provide a structured representation of relationships and dependencies between different entities and concepts. They can allow you to get insight from patterns that weren’t previously visible in your data and make more insightful decisions. However, developing a knowledge graph from scratch can be a daunting task. To overcome this challenge, enterprises can leverage the capabilities of Generative AI to more quickly get started with semantic modeling. 

Generative AI empowers businesses with its innovative capabilities, automating various business processes, improving efficiency and increasing the employee's productivity. Combining Generative AI with a human in the loop, using the powerful Semaphore technology, can deliver better overall results and make you more productive in the creation, enrichment, and management of your semantic models. 

Start generating knowledge graphs with the power of Generative AI and Semaphore. During this webinar, we will show you how you can:  

- Use Generative AI for the development of knowledge models 
- Enrich, link and manage semantic models with the help of Semaphore 
- Create SPARQL queries and SHACL (Shapes Constraint Language) shapes with Generative AI and then manage and run them within Semaphore. 

Join Progress Semaphore’s Senior Enterprise Account Manager, Doug Dunn, who will discuss the importance of semantic models and how companies can enhance their value using Generative AI. Also presenting during this session will be Lance Thieshen, Senior Sales Engineer, who will demonstrate the combined power of Generative AI and Semaphore to simplify the creation and management of semantic knowledge models.

Leveraging Generative AI to Jump Start Your Semantic Knowledge Modeling

Join us for our new MarkLogic Community Program, designed to bring together MarkLogic experts, customers, partners, and future MarkLogic innovators. Joining us during these monthly webinars will be our team of expert MarkLogic engineers and developers, along with industry leaders, to discuss the latest innovations in our data platform.

Since the inception of our Community events earlier this year, we've received many requests for an exclusive session on Progress Semaphore. The wait is finally over, as this month's webinar is dedicated entirely to Progress Semaphore. 

Joining us is Novo Nordisk, who will be discussing and sharing their invaluable insights on FAIR data. Discover their unique approach, and gain a comprehensive understanding of the challenges and opportunities involved in data tagging.

We will also have a demo to display Semaphore's key features and illustrate how it can revolutionize data management within your organization.

MarkLogic Community Event October Edition

The development of large language models (LLMs), like ChatGPT, Bard, Anthropic, is generating a lot of interest with implications at many business levels. One of the most promising advancements of this technology is providing the enterprise with human expertise at a machine scale. This is where also the challenge comes with Generative AI’s ability to hallucinate and provide inaccurate responses. To overcome these challenges and unlock the real value of generative AI, enterprises can use their business data to receive answers in context. Progress MarkLogic and Progress Semaphore can solve this problem by providing a semantic knowledge graph long-term memory solution in the form of a scalable and secure knowledge data platform. Semantically relevant use case specific data can be used by AIs for retrieval augmented generation (RAG).

Dive into the realm of AI data-driven enterprises. Join this presentation hosted by Imran Chaudhri, Chief Architect, AI, Healthcare & Life Sciences at Progress, who will provide an overview of the fundamental concepts of LLMs and demonstrate how companies can extend their capabilities, providing them an unbounded long-term memory. By augmenting LLMs with knowledge retrieved from long-term semantic memory, companies can ensure more trustworthy and accurate results.

Learn how merging generative AI with enterprise data can transform your business strategy, increase productivity, reduce costs, and deliver high-quality and trustworthy results. In this presentation, you will:

- Explore the benefits of Generative AI tools in your organization
- Understand how you can achieve trustworthy and accurate results by using LLM models
- Understand how you can add context and meaning to your enterprise data ahead of your LLMs to improve results
- Discover how you can gain LLM-independent associative long-term secure private data memory

Why Semantic Knowledge Is So Important for a Trustworthy Enterprise AI

Join us for our new MarkLogic Community Program, designed to bring together MarkLogic experts, customers, partners, and future MarkLogic innovators.  Joining us during these monthly webinars will be our team of expert MarkLogic engineers and developers, along with industry leaders, to discuss the latest innovations in our data platform.

This month features our long-time customer The Incorporated Council of Law Reporting for England & Wales – which is the official publisher of the Law Reports which record leading court cases as relied on by all judges, lawyers, and students of law. Presenting will be Paul Magrath, Head of Product Development and Online Content at ICLR. He is responsible for the development of their legal information database, which offers digital versions of the reports published since 1865 along with many other cases and legislation. In 2016 this was migrated to Mark Logic in a development carried out by 67 Bricks. In 2021 ICLR launched Case Genie, an AI-driven search facility that analyses a legal text uploaded by the user and recommends relevant and linked cases of which the user may not be aware. Paul will be discussing this and other recent developments and the challenges facing ICLR in an increasingly competitive environment.

Also joining us will be Frank Blau, a Sr. Principal Data Architect at EBCONT ProConsult. He describes his presentation below.
To understand the value of a multi-model database like MarkLogic from both a technical and business perspective, it is important to have a compelling story to show how it can add value to a data management organization. In my recreational study of the media theories of Marshall
McLuhan, I have found a powerful narrative that can bridge the gap between the theory and technical perspectives that multi-model data can address. In this talk, I will describe how McLuhan’s quip “the medium is the message” can frame a strong use case for the use of MarkLogic in a project.

MarkLogic Community Event September Edition

Large language models (LLMs) from companies like OpenAI, Microsoft, Google, and Anthropic are generating a lot of interest and use by the public. They are used by hundreds of millions of users. The key benefit LLMs provide is a natural language reasoning interface for humans. But LLMs have some major functional issues such as bias, reasoning errors, safety, and privacy concerns. Companies that can take advantage of their private data with LLMs will have a strong business advantage.
During this webinar, we'll show you how you can: 
- Improve AI trustworthiness; 
- Capture human expertise as a re-usable knowledge graph 
- Add context and meaning to your data ahead of your LLM to improve results; 
- Support LLMs with private knowledge; 
- Act as an LLM-independent associative long-term secure private data memory; 
- Reduce LLM functional issues; 
- Provide security and transparency with respect to LLM responses.
  
Join Progress MarkLogic's Senior Customer Success Manager, Philip Miller as he hosts Imran Chaudhri, Chief Architect, Healthcare & Life Sciences to discuss how MarkLogic & Semaphore can be used to leverage private or propriety data with generative AI. Helping businesses and organizations provide context, meaning, and insight into the data used by AIs, as well as, improving and contextualizing the results.
 
Imran joined MarkLogic with over 25 years of experience in the industry, to focus on bringing enterprise-quality data platform solutions for managing large diverse data integrations, AI & analytics to the healthcare IT marketplace. Imran co-founded Apixio with the vision of solving the clinical data overload problem & developed a HIPAA-compliant clinical AI analytics platform. Before Anka Systems, Imran was a founder and CTO of FastTide, the world's first operational performance-based meta-content delivery network.

Convergence of AI and Private Data - 2nd Chance

Large language models (LLMs) from companies like OpenAI, Microsoft, Google, and Anthropic are generating a lot of interest and use by the public. They are used by hundreds of millions of users. The key benefit LLMs provide is a natural language reasoning interface for humans. But LLMs have some major functional issues such as bias, reasoning errors, safety, and privacy concerns. Companies that can take advantage of their private data with LLMs will have a strong business advantage.

During this webinar, we'll show you how you can: 
- Improve AI trustworthiness; 
- Capture human expertise as a re-usable knowledge graph 
- Add context and meaning to your data ahead of your LLM to improve results; 
- Support LLMs with private knowledge; 
- Act as an LLM-independent associative long-term secure private data memory; 
- Reduce LLM functional issues; 
- Provide security and transparency with respect to LLM responses.
- Demo from Datavid

Join Progress MarkLogic's Senior Customer Success Manager, Philip Miller as he hosts Imran Chaudhri, Chief Architect, Healthcare & Life Sciences to discuss how MarkLogic & Semaphore can be used to leverage private or propriety data with generative AI. Helping businesses and organizations provide context, meaning, and insight into the data used by AIs, as well as, improving and contextualizing the results.

Also presenting during this session with be Datavid.  Datavid Rover (powered by Progress MarkLogic and Semaphore) is a cutting-edge, extensible data platform tailored to extract and manage knowledge from a wide range of data sources. It specializes in automating real-world concept classification, crafting detailed knowledge graphs, executing natural language searches, and highlighting concealed insights. Core benefits include simplified data processes, enhanced integration, and semantic capabilities, all streamlined for faster project delivery and personalized experiences.

Convergence of AI and Private Data

Welcome to the launch of the MarkLogic Community Program from your Customer Success team at Progress | MarkLogic

Join us for the launch of our new MarkLogic Community Program, designed to bring together MarkLogic experts, customers, partners, and future MarkLogic innovators.  Joining us during these monthly webinars will be our team of expert MarkLogic engineers and developers, along with industry leaders, to discuss the latest innovations in our data platform.

Regular updates will include topical discussions of trending data-related subjects, real-world experiences from our customers and partners, spotlights on key features found in our data platform, as well as Q&A sessions to share ideas, discuss challenges, and pool our collective knowledge from our community as a whole.

Join us June 29th at 3 pm BST (9 am ET) for our next live Community event - https://events.zoom.us/ev/Ah3YYow5BRpQPZuHPLHNB7ujfNHWEQcftaUQUSXjNOwT00RsUPpx~Aim_uhbktArcUrqR70nw3KRKa66beumY2JrzXqArQsUHDy6FnC5TIZTPgQ

MarkLogic Community Program - Launch Event

Data management methods are evolving quickly, as enterprises invest in gaining data agility to accelerate insightful decision-making. Modern data management is being driven by an accelerated shift to data in the cloud and the subsequent innovation in data technologies and advanced analytics. Enterprises are recognizing new opportunities to derive value from their data and to save time and money, and they’re taking a fresh look at new data management approaches to reap the rewards of smarter and accelerated decision-making. 

In response to this demand for more modern data treatments, a confusing array of architectures, technologies, and approaches has sprung up – and it’s not easy to tell which ones will truly deliver better business outcomes and which ones are just hype. Should you invest in graph technology and metadata management? What exactly is a data fabric? How can you leverage the power of AI and machine learning? 

This session will take a look at trends in data management that are worth investigating, and explain how a modern data platform can help you implement them in a way that delivers business value for your enterprise.

Data Platform Capabilities for Modern Data Management Architectures

The Comprehensive Child Welfare Information System (CCWIS) or Statewide Automated Child Welfare Information Systems (SACWIS) contain a wealth of data, but it doesn't tell the whole story. Valuable data may also reside in other systems such as SNAP, TANF, Medicaid, or Child Support. The ability to quickly have a holistic view of a Person, Case & Service history, or other external factors, leads to better decisions and better outcomes. 

A data first strategy can help agencies leverage a variety of data sources across programs and external entities to equip case workers in making the right decisions. The spirit of CCWIS was founded on quality data for sharing to inform best case practice. Wherever you are on your modernization journey, MarkLogic has solutions that can provide near-term results and a long-term component of a modern technical architecture. 

Expert speakers discussed: 

- Hear from a former child welfare state director about the challenges caseworkers are facing that can be addressed by a data first approach, 
  reducing frustration which perpetuates the workforce retention issues that agencies are facing.
- Understand how our unique solution can integrate critical data silos quickly and easily with a unique and sustainable approach.
- See how you can identify connections and patterns that inform your work
- Identify what your child welfare practice needs to do to ready for embracing a data first approach

Solving the Child Welfare Data Sharing Problem

Child Welfare

Data Management

Data Platform

Data Architecture

Data Sharing

State and Local Government

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IT Service Management

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Solving the Child Welfare Data Sharing Problem

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