Name: Cloud Migration Success Stories: PruTech on Scaling Data Access & Security
Start: 2024-05-10T16:26:00Z
End: 2024-05-10T16:26:38.000Z
Location: BrightTALK
Rating: 0

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.

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

REPLAY - Canadian Press about Unlocking Valuable Content with Semantic Knowledge

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.

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

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

Why You Need Data Connectivity In Your Data Strategy

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

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

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