Accelerating Action: Advancing Change in Data and AI
Join leaders from Women Data Professionals and EDM Council for an interactive discussion on the influence of diversity in shaping the future of data and AI. In celebration of International Women’s Month, this panel will explore how women leaders and their allies are driving meaningful change and accelerating action in their organizations and across industries. Panelists will share the challenges they’ve navigated and strategies they employ to create more inclusive and innovative workplaces. Attendees will gain insights into how diversity fuels innovation in data and AI, and leave with actionable takeaways to foster inclusion and leadership in their own careers.
Mastering BCBS 239: Enhancing Compliance with Data Lineage
Is your data ready for the complexities of BCBS 239 compliance? As the regulatory landscape around BCBS 239 continues to evolve, effective data lineage capabilities remain critical to establishing compliant risk data aggregation and reporting practices, enhancing operational resilience and supporting business growth.
During this webinar our expert speakers will cover:
BCBS 239 Explained: Emerging challenges and trends, and the value data lineage can provide to your organizations beyond BCBS 239 compliance
EDM Council’s latest developments and guidance from the BCBS 239 Work Group
Solidatus Approach: Understand how to simplify BCBS 239 compliance through end-to-end data lineage and governance.
Live Use Case: See how Solidatus enables you to map your data flows, visualize your data lineage, and simplify compliance.
Data Products: Emerging Uses and Generative AI for Deployment
Evolving from “Data as an Asset” to “Data as a Product” is a revolutionary shift, transforming how data is designed, manufactured, and measured for success. In this webinar, our expert speakers will explore how data-driven enterprises are embracing this transition—empowering business knowledge workers with self-service capabilities and optimizing data design for seamless consumption. They will also share insights into the corporate journey toward Data Products and demonstrate how AI co-pilots can accelerate their creation.
Key Highlights:
Learn about the anatomy of data as a product
Learn how business users can be empowered to create Data Products through a scalable manufacturing process
Learn about the concept of minimum viable governance to drive the right balance between agility and governance
Learn about the role of artificial intelligence and generative AI algorithms in creating Data Products.
Modernizing Your Data Management Program in the Cloud with CDMC
Discover how CDMC (Cloud Data Management Capabilities) certification helps ensure robust data governance, better data protection and privacy, and more effective compliance—empowering your enterprise to navigate cloud modernization with confidence. Learn from industry experts how CDMC certification can streamline your data management processes, enhance operational efficiency and support your strategic cloud initiatives, and how to confidently embark on your cloud modernization journey with the assurance of CDMC certification and Informatica’s AI-powered IDMC (Intelligent Data Management Cloud) platform.
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
EDM Association Completes Acquisition of Assets of OMG
The combination of the two organizations creates the world's largest data and standards community.
