Semantic Layers in Data Strategy: Enabling Governance & Democratization
In the era of data-driven decision-making, organizations are under increasing pressure to empower business users with self-service analytics while maintaining strict data governance and compliance. Striking the right balance between data democratization and governance is critical, but not without challenges. This session explores how semantic layers serve as the cornerstone of modern enterprise data strategies, enabling organizations to adopt a hub-and-spoke governance model.
The hub-and-spoke approach combines centralized governance of critical data with decentralized innovation at the business unit level. By implementing a semantic layer, enterprises create a shared, business-friendly abstraction of complex data, providing consistent definitions, robust security, and real-time accessibility. This ensures a single source of truth across analytics tools and teams, fostering both agility and control.
Takeaways:
A clear understanding of how semantic layers simplify complex data governance.
Practical strategies to enable decentralized innovation without losing central control.
Real-world case studies showcasing the business impact of semantic layer implementations.
Gain actionable insights into leveraging semantic layers to address governance challenges, accelerate insights, and foster a collaborative, data-driven culture! Join us to explore how the intersection of governance, semantic layers, and the hub-and-spoke model can transform your enterprise data strategy.
Innovating at the Crossroads of AI, Data Governance, and Business Leadership
We have the honor of interviewing Poornima Ramaswamy (Founder, CEO, PivotX Advisors) and Julie Carpenter (Principal Consultant, PivotX Advisors).
In this webinar, we will discuss this important topic of exploring the dynamic intersection of Data Governance, AI, and Entrepreneurship with two seasoned women tech leaders Julie and Poornima. You will get a chance to learn about how Julie & Poornima approached their careers and insights to their challenges and successes on starting their own company. Join us for an interesting discussion on Data Governance and AI and their thoughts on how to make data governance exciting and compelling.
From Air Force CDAIO to Inspiring Innovator: Breaking the Barriers in Data
Join us for an interactive discussion led by Aritra Saha (Manager, Data Engineering, Analytics and Data Sharing, American Airline) and Shambavi Dhall (Business Data Analytics and Information Technology Associate, Credit One Bank).
In this webinar, Eileen Vidrine shares her inspiring journey of breaking the barriers within both the Air Force and the data industry, traditionally male-dominated fields. As the former Chief Data & AI Officer for the Department of the Air Force, Eileen tackled significant challenges, from establishing the Chief Data Officer role—when the concept was still in its infancy—to overcoming resistance to a data-driven culture in a highly structured environment.
Her resilience, strategic vision, and commitment to building diverse, high-performing teams allowed her to transform obstacles into opportunities, creating pathways for future leaders. This session will delve into how she championed diversity and inclusion, secured leadership buy-in, and spearheaded initiatives that have redefined data and AI landscapes.
Attendees will gain actionable insights on breaking organizational barriers, fostering team collaboration, and driving innovation despite adversity. This is an opportunity to learn how Eileen successfully navigated complex challenges and led transformative change.
Accelerate Microsoft 365 Copilot Adoption with Data Governance Controls
Microsoft 365 Copilot brings transformative potential, empowering employees to access and analyze vast amounts of enterprise data within M365 applications. While this significantly boosts employee productivity, it also introduces new governance and security risks. In the rush to adopt Copilot, many organizations have overlooked essential data governance controls, leading to unintended exposure of sensitive information. Employees may unknowingly query confidential data, such as salary details, M&A plans, or even passwords—information they should not be able to access.
This webinar will guide you through best practices for safely integrating Microsoft 365 Copilot, by putting in place robust governance and security measures, preventing unauthorized access and ensuring that sensitive data remains protected.
Key Takeaways:
Understanding the security implications of Microsoft 365 Copilot
Evaluating your M365 environment’s readiness for Copilot
Implementing a 6-step framework for automated M365 data security and governance
Ensuring Trust in the AI Era: Integrating LLMs with Data Catalogs
AI language models are now processing vast amounts of corporate data, delivering insights faster than ever. But here’s the key point: You can’t trust an LLM. However, you CAN trust AI systems using LLMs when they’re guided by a foundation of strong governance and accountability.
Join EDM Council and data.world for our upcoming webinar where we’ll explore how to build trustworthy systems out of untrustworthy components. Large Language Models (LLMs) can be powerful tools when harnessed effectively, but their unpredictability can create challenges—much like musicians needing a skilled conductor to bring everything into harmony. We’ll discuss how organizations can implement governance and data catalog frameworks that act as the ‘conductor,’ ensuring AI systems work transparently, reliably, and in compliance with regulations.
In this session, industry experts will share insights on building AI systems that integrate LLMs, emphasizing the need for governance, data lineage, and quality control to maintain trust in these systems. We’ll delve into real-world examples and case studies, demonstrating practical approaches to managing LLMs while maintaining control and accountability.
Here’s what we’ll cover:
The challenges of integrating unpredictable LLMs into enterprise data workflows
How data catalogs provide the governance, lineage, and quality control essential for trustworthy AI systems
A practical demonstration of building trust in an LLM-based system for regulatory compliance
Strategies for ensuring data integrity and transparency in AI-driven decision-making processes
Through diverse case studies, this webinar will provide a deeper understanding of how organizations across industries are navigating the complexities of AI-powered enterprise data management. Whether you’re a CTO looking to deploy advanced AI solutions or a CFO concerned about regulatory risks, you’ll walk away with actionable strategies for fostering trust and governance in AI systems.
This is an opportunity to gain insights into the intersection of AI and data governance, learning from real-world challenges and solutions that are shaping the future of enterprise data management.
Preparing for the Future: Optimizing Your SAP Data Infrastructure
As the 2027 sunset of SAP ECC approaches, organizations are under pressure to migrate to SAP S/4HANA and modernize their data infrastructure. Though the multi-year timeline to migrate may feel ample, the complexities around deployment strategies, partner selection and training will consume much of this time. The migration to SAP S/4HANA presents an opportunity to not only upgrade your organization’s ERP system, but also to modernize your data platform to take advantage of AI/ML and cross-cloud data sharing and business continuity features.
This webinar will explore how to integrate and centralize SAP ERP data with other data sources, addressing key challenges and strategies involved.
Join our expert speakers as they discuss:
The impact of the SAP ECC sunset and what it means for the modernization of your organization’s data architecture
Strategies to overcome the challenges of integrating SAP data and the benefits of a single source of truth in a cloud-based environment
Real-world case studies highlighting key learnings from successful enterprise implementations
A demonstration on how to leverage your SAP data with Fivetran and Snowflake
Data Integrity Trends: Insights from a Survey of Data & Analytics Professionals
Rising costs, global competition, and the complex reality of AI present challenges to businesses across all industries. The “2025 Outlook: Essential Data Integrity Insights” report reveals how organizations must effectively overcome these challenges by making data-driven decisions, reducing costs, and staying ahead of their competitors.
Join us as we dive into our latest survey of over 550 data and analytics professionals, which illuminates how companies are using data to augment efficiency, navigate AI, and overcome data quality challenges.
This webinar also examines how data governance and location intelligence adoption lead to better outcomes for organizations.
Putting Data Semantics to Work…Finally…In Financial Institutions
Data Semantics should be at the core of all computing, and especially the sophisticated computing required in the financial sector for AI, complex analytics, and large-scale computing, but why are most institutions still struggling to get it right?. After all, in the context of data, “semantics” refers to the study of meaning within data, and recognizing the true meaning of data by understanding the relationships between different data points and entities, There are multitudes of ontologies being fielded, from FIBO* to FIGI** and more, and data semantics are even written into the recent Financial Data Transparency Act, but practically, as an industry we still have far to go to implement semantics – whether proprietary or standardized – into our enterprises and our work for maximum effect. Few organizations are expert, and many are still trying to get started.
This webinar is for any business or technology professional who wants to understand financial semantics for data and how to put the technology, including existing standards, to work.
The Object Management Group’s Standards Development Organization (OMG) and the Enterprise Data Management Council (EDMC) have long been committed to enabling banks and other financial institutions to incorporate semantics into their enterprise data operations. For this webinar they will be bringing top experts and practitioners from their teams and memberships to:
Refresh – or, if you are new to semantic data, inform – your understanding of financial data semantics
Learn how to use data semantics for maximum impact in your business, including cases
Get updated on the major semantic standards initiatives , including FIBO and FIGI
Hear about the proposed new Semantic Mapping and Types specification, and how you can participate in its development and roll-out
Mitigating Generative AI Risks: A Framework for Responsible Deployment
As generative AI systems become increasingly integrated into critical business processes, the need for responsible deployment has never been greater. This webinar will explore a comprehensive framework for mitigating the key risks associated with generative AI, including hallucinations, unpredictable outputs, and ethical concerns. Panelists will dive into strategies for ensuring AI systems remain aligned with organizational goals and user expectations while maintaining safety and accuracy. Attendees will gain practical insights into managing the complexities of AI deployment, from development to execution, ensuring innovation proceeds responsibly and securely in today’s rapidly evolving technological landscape.
Data Privacy & Sovereignty: Self-Service Data Management in an AI World
In today’s fast-paced world, where AI is rapidly transforming businesses, data privacy and sovereignty have become critical concerns. As regulations tighten and data sovereignty laws grow increasingly complex, companies must rethink their approach to managing and protecting data. It’s no longer a task limited to a select few; it’s a shared responsibility that spans the entire organization—from leadership to data and application owners. Join us for an insightful webinar as we explore how self-service data management enables organizations to take full control of their data. By combining centralized data governance with decentralized action, every data stakeholder—technical or not—can define, monitor, protect, and localize consumer information and sensitive data through an intuitive, DIY, low-code, unified interface. Our speakers will explore:
Balancing ‘AI-everywhere’ with the growing pressures of global data privacy regulations and the push for Citizen Data Rights.
The importance of empowering data owners—from leadership to application and data custodians.
The role of self-service data management in creating a consistent, standardized process that hands data control to stakeholders, breaking down traditional silos and complexities.
The impact of centralized data governance and decentralized action empowering everyone, including non-technical users, to define, identify, catalog, protect sensitive data, and ensure compliance through an intuitive, DIY, low-code, unified interface.
Best practices for enterprise adoption of self-service data management, with practical use cases.
Announcing the new EDM Association
EDM Council has signed a definitive agreement to acquire the Object Management Group. Bringing together data, software, systems, knowledge engineering and standards capability, and reflecting our global growth, EDM Council is changing its name to EDM Association.
