Name: Overcoming Common Data Governance Pitfalls and Achieving Data Agility
Start: 2023-02-07T19:00:00Z
End: 2023-02-07T19:00:54.000Z
Location: BrightTALK
Rating: 4.4

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

Data quality is a difficult concept to quantify while still being vital enough to sabotage any project, strategic initiative, or even an entire business. What's going on with the quality of your data? Is the data well-suited for all of its uses? Is your data everywhere  – in operational databases, data warehouses, data lakes, master data management, etc.?
 
Information management expert William McKnight will go over 23 lessons he’s learned about data quality, frequently the hard way, in this presentation. Any problem with data quality, and quite possibly with data, that you may be experiencing is likely the result of someone failing to take one of these lessons to heart. Focusing on one or more of these could be the key to achieving understanding between parties and, ultimately, finding a solution to your data quality, and consequently data, problems. 
 
In this presentation, you’ll discover up to 23 facts about data quality as well as fixes for the issues that the absence of data quality causes.

23 things I’ve learned about data quality in 23 years of consulting by 2023

Fit-for-purpose data is the key driver of positive business outcomes. The path forward focuses on transforming an organization into a data-driven organization by culturally treating data as a strategic asset managed through a holistic and trusted data program. 

The overall complexity of large organizations is naturally reflected in the complexity of their data landscapes. A holistic and trusted data program, implemented at scale, is the right (and only) solution to leverage full data potential and provide fit-for-purpose data to cross-business and cross-functional data consumers.

Join Bojan Ciric from Deloitte Consulting to dig into an FSI example focused on enabling a holistic and trusted data program. Furthermore, this use-case will include common success factors and challenges that organizations face on the transformative journey to data-driven organizations. Lastly, you will see how organizations can leverage concepts like data product, data contract, data culture and data literacy within ongoing data program modernization efforts to align with emerging data architecture approaches (data mesh, data fabric). 

About the speaker:
Bojan is a Specialist Leader with Deloitte LLP, AI & Data Engineering practice. He helps clients define and execute data management and analytics strategies to drive positive business outcomes. Bojan has helped enable data and analytics organizations and data governance structures in several global financial services institutions. He has a record of delivering large transformation programs in cross-functional, cross-business roles in data management, data governance, metadata management, ontologies, data quality,  IBM Banking, Financial Market Industry Models, FIBO, data architecture, and modeling. Lastly, he serves as a trusted advisor to the Chief Data Officer agenda within Deloitte.

Enabling holistic data programs to drive positive business outcomes

Improving data management demands strong data governance practices. Occasionally, data governance and data management are used interchangeably, in multiple industry reference guides, sources, and in different contexts. 

This webinar focuses on critical components of improving the management of data from a data governance point of view, detailing meaning and relationships with each other. 

Key topics that will be covered include:
1. Foundational building blocks of data governance and data management.
2. Content of building blocks.
3. The role of IT in data management and data governance. 
4. Conducting data risk analysis.
5. How to build an operational roadmap. 
6. Data governance metrics. 
7. Embedding continuous quality improvement.

Improving data management from a data governance lens

Privacy is neither a buzzword nor should it be treated as such.

That's why it's crucial to have data privacy compliance practices baked into your customer data strategy from the start – especially in today's digital landscape.

Plus, by doing so you can foster loyalty because customers know that when they engage with your brand they are getting the personalized experience they crave without sacrificing their privacy preferences.

Tune in the first session in our Trust Masterclass series to discover how to capitalize on a first-party data strategy to simplify compliance and ensure data accuracy. You'll also learn:

- Ways new privacy legislation and third-party cookie loss will affect measurement if left unaddressed
- The three pillars of trust and how to achieve them with privacy tactics
- How to use a Customer Data Platform (CDP) to enable benefit-driven, privacy-centric conversations with customers

The 3 Pillars of Trust: Building a Multi-Faceted Data Privacy Strategy

Data architecture-as-a-service or DAaaS is a new self-service paradigm that is ideal for data meshes. It empowers local data owners to create architecturally compliant data repositories, domains, and pipelines without IT assistance. It is the culmination of self-service, where business units liberate themselves almost entirely from enterprise IT. If done right, DaaS eliminates data silos, reduces data bottlenecks, eases the burden on enterprise data teams, and empowers local domains to service their own data needs. It’s also a key ingredient in the data mesh, an emerging distributed architecture for data ownership and management. 
 
Data architecture-as-a-service is a verbal twist on cloud processing environments, such as software-as-a-service or platform-as-a-service. This moniker conveys that it’s possible to abstract architecture and build it into easy-to-use, customer-facing tools. When we abstract data architecture, we solve the most enduring data pain point in the data world: the proliferation of data silos and pipelines that wreak havoc on data consistency and trustworthiness.
 
You will learn:  
• What DAaaS is
• Why DAaaS is critical for governed self-service
• How DAaaS prevents data silos and empowers data domains

About the speaker:
Wayne Eckerson is an international thought leader in data and analytics who thinks critically, writes clearly, and presents persuasively about complex topics. He is a best-selling author, sought-after consultant, and noted speaker. Eckerson has advised a range of companies about how to implement data and analytics programs, architectures, and infrastructure, including Walmart, New Balance, and Children’s Hospital of Philadelphia. Eckerson is President of Eckerson Group, a consulting and research firm that helps organizations get more value from their data. He has degrees from Williams College and Wesleyan University.

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

Are you getting started with data governance? Whether you’re about to commission a new initiative or you’ve been tasked with running one, you’re probably feeling overwhelmed. You may have lots of questions like:

- Where do I start?
- How will I know if I’m doing the right things, at the right time?
- What can I expect to get in place in the next 6 months? What will be longer term?
This webinar will answer your initial questions about data governance and share six principles that underpin all successful data governance initiatives.

You’ll learn: 

o What to do from the start so you can avoid mistakes which take time and money to resolve
o The opportunities data governance will bring to your organization so know why you are doing this and what the wins will be
o How to approach your data governance initiative in the right way, so you have a realistic idea of what is involved

About the speaker:
Known as The Data Governance Coach, Nicola helps organizations understand and manage their data better.
For almost two decades she’s helped corporates to reduce costs, inefficiencies and to remain competitive. Typically, people turn to her because their data is a mess, and they need help unravelling it.

As well as providing coaching and consulting to help her clients better manage their data, Nicola runs three popular training courses every year, because she feels it is important to give people the skills to make sure that data is used to solve problems and make better informed decisions. 

Nicola initially worked for a leading UK Bank and moved into consultancy at the beginning of 2009. 
Nicola is a Director and Committee Member of DAMA UK, she sits on the Expert Panel of Dataqualitypro.com, and regularly writes and presents internationally on data governance best practice.

The 6 principles for successful data governance

Improving Data Management

What is data governance and why is it still a fundamental prerequisite for business success? Presented by Rajeev Pai, Director of Technology Strategy & Transformation at Deloitte, this session will explore what data governance is and the key reasons why organizations should have a data governance program in place. 

Attendees will learn:
- Key principles of data governance.
- Value delivered due to effective data governance.
- Key trends shaping up in the space of data governance.
 
About the speaker:
Rajeev is a leader in the space of Technology Consulting & Transformation with over 20 years of experience across the globe in the financial services industry, helping business leaders navigate change. He combines deep domain expertise in Capital Markets F2B Processes and Banking to provide thought leadership and tailored advise while challenging business leaders to achieve their vision. He is an AWS Certified Solutions Architect experienced in large scale System Integration, Platform Re-engineering, Enterprise Data Management (Data Strategy, Architecture and Management), Analytics & Data Visualisation, Operating Model constructs, Design Thinking, and has strong familiarity with Emerging Tech. He is certified in Business Sustainability Management from the Cambridge Institute of Sustainability Leadership (CISL). 

Rajeev has nurtured trusted relationships and high performing teams throughout his career and is committed to help business leaders succeed in their stated mission by combining his industry and digital transformation experience. He is passionate about solving enterprise architecture, sustainability & data challenges for clients.

Take charge of your data: Enabling it for a profitable and sustainable business

Jeremy will discuss why organizations need to take a new approach to data governance. He’ll share examples of organizations who have used innovative solutions to manage and govern their complex data to unlock value. Attendees will learn: 

·        The role of data governance in achieving business objectives 

·        Why organizations typically struggle with traditional data governance processes and tools 

·        How new trends like AI will impact data governance requirements 

·        What technology solutions are available to deliver data quality, security, completeness, unity and context

Overcoming Common Data Governance Pitfalls and Achieving Data Agility

Data Governance

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Data Platform

Data Analytics

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Overcoming Common Data Governance Pitfalls and Achieving Data Agility

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