Name: Data Platform Capabilities for Modern Data Management Architectures
Start: 2023-04-19T18:00:00Z
End: 2023-04-19T18:00:59.000Z
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.

Effective information management is essential for business success and key to a robust data strategy. Semantic knowledge models help organizations establish a common language, understandable to computer systems and humans. With semantic knowledge modeling, businesses can manage information more effectively, maximize information discoverability and governance and support new business initiatives—including AI implementation.

Developing a knowledge model can be daunting, but Semaphore Knowledge Model Management can help. Semaphore streamlines and quickens model development, allowing immediate deployment within your enterprise.

Join our webinar to learn about:

 • The basics and benefits of semantic knowledge modeling
 • Integration of generative AI tools to enhance the creation and refinement of knowledge models with accuracy and speed
 • Techniques for leveraging internal organizational knowledge and content
 • Practical approaches for implementing and deploying Progress Semaphore modeling into your organizational ecosystems

How to Use Semantic Modeling to Unify Business Language

For business leaders looking to enhance their data, analytics and AI initiatives, adopting a structured methodology for handling data while considering the complexities of language and interpretation is essential. This is where business semantic layers add value, revolutionizing how businesses interact and work with enterprise data. 

Are you ready to immerse yourself in the fascinating world of semantic layers? 
During this webinar, you will learn about: 

The current business landscape and challenges
The essence, components and purpose of semantic layers 
Business use cases and applications for semantic layers 
Advantages of using semantic layers to leverage enterprise content  
Approaches for implementing a semantic layer  
Technology considerations for semantic layer use

Building a Semantic Layer for the Modern Data Stack: Connecting Knowledge and Data Silos

Health and Human Services agencies have a wealth of data but often struggle with how to access and leverage the data to inform program and practice decisions at all levels of the agency.  

Join us for an interactive webinar that delves into the critical challenges faced by today’s Health and Human Services (HHS) state government agencies. This session will focus on the complexities of compliance, service-delivery quality, risk management and program integrity across various HHS programs. We’ll give an overview of how our advanced data management solutions offer a more robust, efficient way to interrogate data for meaningful results while improving  service delivery and accountability. 

Watch our on-demand webinar where our experts will explore several use cases with real-life examples from US HHS agencies that have successfully managed to:

• Maintain program integrity and facilitate effective and ethical use of resources across HHS programs 
• Elevate the quality of public service delivery by enabling faster, more accurate data analysis 
• Improve reporting and decision-making by breaking down silos and enabling a holistic view of agency operations 
• Stay ahead of regulatory requirements through enhanced compliance and risk management practices  
• Maximize revenue from federal funding streams and optimize its use

Empowering Human and Health Services Agencies to Deliver Better Outcomes

In the age of information overload, effectively managing and organizing unstructured data is a significant challenge for enterprises using content management platforms like Microsoft SharePoint. To enhance the organization and retrieval of content in SharePoint, businesses need to leverage natural language processing (NLP) and semantic techniques to analyze documents, automatically determine content types and apply relevant metadata tags.

During this session, we will explore the fundamental principles of semantic technology and its integration with Microsoft SharePoint. Join us to learn how to:

• Enhance document discoverability through precise tagging
• Streamline workflows by automating document classification
• Improve compliance and governance through better content management practices

Don’t miss this opportunity to enhance your document management strategy, deepen your understanding of semantic technologies and explore practical applications within your SharePoint environments.

Using Semantic Technologies to Better Leverage SharePoint Documents

The ability to integrate data is vital for organizations that rely on Salesforce to power their business. But accessing that data within Salesforce can be a challenge without the right data connectivity.

Join experts from Salesforce, Progress and Salesforce Ben as they discuss how to:
• Leverage Salesforce Connect to elevate your business    
• Work within industry standards to maintain security and support data privacy
• Provide Salesforce users the ability to utilize external data without moving it

How to (Properly) Access External Data Within Salesforce

Government agencies across the world are required to share information with others. This includes other agencies, their constituents and even their own departments. But what happens when these groups use different terminologies to describe the same thing? It’s like two people talking in two different languages. Now multiply that by hundreds of potentially different data “languages” and hundreds of data repositories—and the problem gets exponentially more complicated. 

This is a core contributor to the classic data silo problem that has plagued public and private entities since the dawn of the information age. Establishing relationships between these various data vocabularies is a function of the information science field known as semantics. Applying a semantic approach to organizational data can quickly knock down these data silos—internally and externally—and streamline your path to mission success. 

Join Stephen Reed to learn how agencies are modernising their architecture by adopting a semantic approach to deliver data agility, flexibility and scalability for their mission needs. During the webinar, you will:

• Explore common causes of data silos as well as signs you might have them within your organisation
• Examine how data silos create a barrier to information sharing and visibility
• Discover how taking a semantic approach to your data with Progress Semaphore can help remediate these issues
• Review several public sector use cases where semantics have solved the data-silo challenge
• See how Progress Semaphore bridges the data language gap in a live demonstration

Don't miss out - watch now!

Eliminating Data Silos for Mission Success with Semantics

Publishers and content creators are looking for ways to extract more value from content to fuel new revenue opportunities and enable new technologies. Organizational data has a lot of potential, but only if it’s in context. It’s also a key differentiator in making next-generation applications, like generative AI, more trustworthy and relevant to your business context. This way businesses can remain relevant and competitive and deliver business value from new technology initiatives.

Providing customers with better, more personalized experiences starts with rethinking your content strategy and acknowledging the importance of smarter content for next-generation applications. To truly tap the potential of generative AI and achieve better business outcomes, we need to make business content machine-understandable.

 
You’ll learn how to:

 • Deliver data in context for next-gen applications
 • Power trustworthy generative AI with smarter content
 • Turn smarter content into business benefits
 • Create a generative AI solution for your enterprise
 • Transform your content practices successfully

Unlocking Valuable Content for Next Generation Applications

As organizations are moving generative AI projects from incubation to production, they are focusing on three fundamental aspects of LLMs: improving the quality of the GenAI models’ output, the security and protection of enterprise data and IP investments, as well as balancing rampant implementation costs.

To improve the accuracy, explainability and efficiency of generative AI models and their ability to surface relevant information, businesses need to leverage best-of-breed data technologies based on knowledge graph and hybrid search through retrieval augmented generation (RAG).

Join the Progress MarkLogic product team for an in-depth exploration of the next-generation search capabilities coming to MarkLogic Server 12 and learn about:

• Building a flexible RAG architecture that matches your data requirements
• Using the latest features, including storing and searching vector embeddings, to enable hybrid search and re-ranking of retrieval results 
• What’s coming next in MarkLogic Server 12  

Learn firsthand how the MarkLogic comprehensive search suite allows you to perform a composable, hybrid search in a single query to retrieve and re-rank results with maximum relevance and improve the accuracy of GenAI responses.

Watch now!

MarkLogic Server 12 Early Access: Harness Generative AI with State-of-the-Art Search

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

Better business decisions start with having your data quickly and easily accessible to your reporting tools or BI platform. Today, connectivity standards and APIs make accessing cloud and on-premises data easier than ever.

Watch this webinar to learn how to:
* Use standards-based data connectivity to save time and enable fast access to data
* Leverage a flexible, scalable solution for reliable, consistent data ingestion
* Deliver universal access from any API to any BI tool or application through REST

Learn how to give your organization’s data users the real-time access they need to deliver actionable insights and amplify business results.

From Data Silos to Unified Insights: The Importance of Connectivity in BI

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

Unlocking the value of data mesh with Data Architecture as a Service

Anti-patterns of data architectures

Accelerating Time to Value with Snowflake

Real-time, Scalable Applications Powered by a Modern Data Platform

Data-driven success: How modern data architecture unleashes business value

Data Lineage & Knowledge Graphs: Similarities and Differences

Choosing the right data platform for your business

FAIR data: Superior data visibility and reuse without warehousing

Building an Open Data Lake House Using Trino and Apache Iceberg

Embedded Analytics: Architecture and Experience

Data Architecture Best Practices

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

Data Architecture

Data Platform

Data Management

Data Visualization

Data Analytics

Data Fabric

Artificial Intelligence

Cloud Data

Data Integration

Data Insights

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IT Service Management

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Business Intelligence and Analytics

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Big Data and Data Management

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Data Platform Capabilities for Modern Data Management Architectures

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