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

Looking to create trustworthy, accurate, and cost-effective AI applications and business insight engines for your organization? Learn more about the Progress Data Platform for AI from expert developers, engineers and knowledge managers.

The ability to integrate Salesforce data is vital for organizations that rely on Salesforce to power their business. But the data you pull into Salesforce is just as important to your business outcomes as the data you push out of it.

Join the Progress DataDirect team and a special guest from Salesforce Ben—the largest independent Salesforce media platform in the ecosystem—for this webinar. The team will discuss how to:

* Expose any type of data in Salesforce using standards-based connectivity
* Improve decision making by cost-effectively accessing data through a single interface
* Work within industry standards to maintain security and support data privacy
* Leverage Salesforce data for better BI and reporting outcomes

Maximizing Your Salesforce Savings…with Different Data Connectivity

The way we search and interact with information is profoundly changing with the latest advancements in generative AI technology. Instead of forcing us to sort through thousands of results of best-match keywords, generative AI-enhanced systems provide an easier way of finding answers to our questions—in a natural, conversational, human-understandable way. This saves us time and effort. And the benefits will grow as the technology gets more sophisticated.
 
David Kaaret, Senior Principal Solutions Engineer at Progress explores the power of combining generative AI models with semantic search and your enterprise content more securely to empower users with fast, digestible and credible insights.

You’ll learn how to:
 • Amplify your search and better answer complex user queries
 • Make your content easily discoverable
 • Improve the relevance and accuracy of generative AI responses
 • Overcome data access and search challenges outside of generative AI

Revolutionizing User Experiences with Generative AI-Enhanced Search

To stay competitive and adapt to evolving technology, businesses must enhance their content with semantic knowledge. This process involves adding additional metadata to content to provide a richer understanding of its origins, meanings, uses and value.

Join Progress experts as they explore and demonstrate how content enriched with agile metadata can enhance discoverability and governance, allowing you to feed the right content to the right people at the right time.

You’ll learn:

Why delivering content in context is more important than content alone
How adopting a knowledge model can define content and support easy re-use and understanding
How classification, entity identification and fact extraction can help you understand your content
How to optimize your content management strategy
Why an agile metadata strategy is crucial for managing smarter content in an AI-driven world

Speakers:
Paul Kelly, Director Content Operations, The Canadian Press
Philippe Delorme, Senior Account Manager, Progress
Andrew Wanczowski, Principal Solutions Engineer, Progress

Unlocking Valuable Content with Semantic Knowledge with The Canadian Press

With the rapid technology advancements and the evolution of the healthcare industry, the integration of new advanced and AI technologies becomes paramount for driving innovation, efficiency, and delivery of enhanced services to more patients. Capitalizing on these opportunities requires an agile, data-driven strategy that supports innovation and growth. 
 
This event aims to equip you to unravel the potential of generative AI and present how its application can leverage the human expertise in industry-wide taxonomies and ontologies at a machine-scale through semantic modelling. Explore how healthcare institutions with the help of secure agile technologies can leverage generative AI and transform their business strategy, increase productivity and reduce costs in a HIPAA complaint manner.

Empowering Trustworthy AI for Health and Human Services

Unlocking Valuable Content with Semantic Knowledge

Content created solely for the author’s interests and not tailored to the audience is no longer acceptable in business settings. The need to blend static narrative content with dynamic data is growing, as is the need to repurpose that content in new platforms and for new use cases, including AI. 
Join Fonto and Progress experts as they discuss and demonstrate the power of a structured approach to content creation. You’ll discover what’s possible when you combine a content authoring platform with the native XML capabilities of Progress MarkLogic and the semantic enhancement capabilities of Progress Semaphore. 
Join us and learn how to: 
• Prepare for the future of content management  
• Simplify your writing and editing of XML documents with Fonto  
• Create connected digital experiences with a dynamic content engine 
• Enrich and enhance content quality with context  
• Transform your content practices using proven approaches

Unlocking Valuable Content Through Structured Content Creation

In this MarkLogic Community event, join our product and engineering teams for a deep dive into the new features and enhancements in Progress MarkLogic Server and Progress MarkLogic Data Hub.

MarkLogic 11.2 brings flexible document transformation, enhanced security and performance and new integrations to extend your platform capabilities.

MarkLogic Data Hub 6.1 brings intuitive data exploration, better flow and model management and improved system monitoring.

MarkLogic Community Event - May Edition

Dive into the latest innovations in the Progress Semaphore semantic platform in our May Semaphore Community Event.

This session covers:
   - New release features that take your knowledge management practices to the next level
   - Strategies for evolving your data architecture for trustworthy genAI
   - A demo highlighting the power of the platform's side panel widgets
   - Details on where we'll be and how you can meet up with us this year 

Learn how Progress Semaphore can help you get started on your AI journey and leave with tips to get the most of your Semaphore investment.

Semaphore Community Event - May Edition

Modern organizations are laser-focused on delivering business value from technology initiatives. As a result, Data and Analytics leaders are partnering with their IT and Marketing counterparts to align their strategies for optimal results. This can lead to a balancing act between centralizing functions like data security and compliance and decentralizing data ownership so business users can drive projects autonomously.

Data management is coming of age with modern data architecture patterns like data fabric and data mesh. Data fabric has gained traction because it's flexible enough to adapt to complex data growth and scale with business needs. Using a semantic layer, data fabrics weave data and metadata into a unified view to enable reusable and accessible knowledge on demand across the organization. This promotes better collaboration, less reliance on IT teams for data operations and greater self-service for data analytics. But how far are we in reaching the full promise of data fabrics?

Special guest Andy Hayler, Practice Leader, Data as an Asset at Bloor Research and Stephen Crook, Principal Sales Engineer at Progress explore challenges and successful deliveries of data fabrics in the industry.

Learn about:
   - Business adoption of data fabrics and technology maturity
   - Modernizing your architecture without disrupting legacy systems
   - How to balance democratized access to data with uniform governance and security
   - Data mesh of data fabric: What dictates the choice of data architecture in the modern enterprise?
   - Use cases and criteria for successful data fabric delivery

Bringing Data Closer to Decision Makers with Data Fabric

Generative AI technologies have propelled AI to new heights this year, but challenges like hallucinations, a lack of transparency and discrepancies between enterprise vocabulary and the public terminology they’re trained on persist. Generative AI technologies can provide good general answers, but text analytics can add further precision, transparency and alignment with enterprise vocabularies.

Text analytics have been instrumental in running innovative, knowledge-driven enterprises for years due to their ability to bring depth, meaning and intelligence to text. With text analytics, your business can uncover a wealth of information and provide it to generative AI for more accurate and trustworthy results. The collaboration between text analytics and generative AI is more than just a convenience—it’s a strategy that can transform how your business operates and competes.

Tom Reamy, CEO of KAPS Group, and Imran Chaudhri, Principal Sales Engineer, Progress, explore how text analytics can lay the right foundation for generative AI. They explore the increasing application of LLMs—empowering non-technical end users and SMEs to use natural language to query data, thus solving complex decisions.

You’ll learn:
   - Why text analytics are a key component of generative AI
   - What issues are common with enterprise generative AI
   - How text analytics enables more trustworthy and accurate results
   - How to apply generative AI and text analytics, including when to combine and when not to combine these technologies
   - How AI-driven decision-making is used to provide better business outcomes

See how text analytics can drive enterprise AI to the next level.

From Text to Value: Pairing Text Analytics and Generative AI

In this 3 part series Progress will be discussing a very important component to any data strategy….. data connectivity, featuring another Progress product, Progress DataDirect.

In the recent past, to get access to the data you needed, you had to juggle different access processes for reporting and analytics purposes. Today, connectivity standards and APIs make accessing that data easier than ever.  Watch this webinar to learn more.

Ask Me Anything: Effective Use of APIs

In this 3 part series Progress will be discussing a very important component to any data strategy….. data connectivity, featuring another Progress product, Progress DataDirect.

In this on demand webinar, join PruTech as they detail their ongoing partnership with Progress DataDirect and discuss how embedding advanced data connectivity has influenced their business.

Cloud Migration Success Stories: PruTech on Scaling Data Access & Security

In this 3 part series Progress will be discussing a very important component to any data strategy….. data connectivity, featuring another Progress product, Progress DataDirect.

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.

Why ISVs Embed Data Connectivity

Check out the March edition of our Community Program! Here is what we covered:

   - A quick Community update from your Progress MarkLogic Customer Success team.  
     
   - A demo on loading and transforming data with MarkLogic led by Stephen Crook, Principal Sales Engineer, and covering MLCP, REST and CoRB. 
     
   - A talk by Hashem Tamimi, Senior Data Scientist from Sada Intelligence, a Progress partner. Hashem will focus on the critical importance of research integrity, present a practical workflow to support publication ethics and show how to effectively leverage the Progress MarkLogic data platform to support credibility and reliability throughout the publication process.

MarkLogic Community Event March Edition

Watch the February edition of our Community Program! From our CSM team, given the new year and recent new methods of engaging with us, Philip Miller will give you a rundown of our Customer Forum, Ideas Portal, Customer Hub, and monthly surveys. 

Do you consider yourself an industry expert or thought leader? Want to share your honest feedback on MarkLogic products and services? We welcome you to learn firsthand how you can showcase your industry leadership, innovative approaches, and success with MarkLogic. We're joined by the Progress Customer Advocacy team members Jennifer Meyer and Umaima Anwar who give us an exclusive overview of the Progress Customer All Stars Program. 

From our PM team, we are joined by Mitch Shepard, as he discusses the latest product updates and recent releases, as well as a demo on how using the python client, a user can perform Optic, SQL, SPARQL, and GraphQL queries. All queries the server supports.

MarkLogic Community Event February Edition

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

Agile Innovation with MarkLogic 11

Metadata: What, Why, and How

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

metadata

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Search Engine

Optic API

Data Platform

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Big Data Management

Data Integration

Data Agility

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Metadata: Agile Integration with the MarkLogic Optic API

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