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.
Unlock Generative AI Success: Insights from the New 90-Day Blueprint
Dr. Katia Walsh is one of the early Chief AI Officers, having been in that role at Vodafone Group in London and Levi Strauss & Co. in San Francisco several years before ChatGPT made AI a household name. In this session, Katia will share with you insights from her new book, “Winning with Generative AI: The 90 Day Blueprint for Success“, in partnership with Charlene Li, author of six New York Times best-selling books about tech in business.
Katia will provide a practical guide to implementing a Generative AI strategy in your organization, including:
Why it matters
How to get started
What to focus on first, second, and third
How to prioritize
How to measure success
Who to partner with, at what stage
… and other learnings from her 20+ year career helping businesses retain relevance and gain further differentiation through emerging tech, especially AI.
AI-Driven Futures: Evolving Human Capital in the Era of Automation
Given the rapid pace of AI adoption and automation across various industries, the role of human capital is quickly evolving in truly profound ways. As GenAI starts to gain adoption and reshape industries, the role of human capital becomes more critical than ever. Join this groundbreaking event with academic GenAI experts to learn how they’re changing educational guidance, imparting best practices and infusing harmonization between human capital changes in this culture of AI-driven automation and tech transformation.
This session will explore the following discussion topics.
The intersection of AI and workforce development
The role of educational institutions in the development of workforces ready for GenAI
The impact of automation and innovation on job/role transformation
New approaches to foster creativity and apply critical thinking to complex problem-solving scenario
Best practices for workforce adaptation and preparing for a more automated future
An assessment of ethical implications of AI in human capital management
Enabling Innovation: Solutions for Managing and Transforming Market and Reference Data
When market and reference data is being used as input into valuations and risk calculations the need for accurate and validated pricing and reference data is paramount. This webinar will cover several use cases focusing on innovative processes for managing that data. These include validations using statistical techniques, transforming market data using derivations/quantitative techniques/proxy methodologies, the linking of market and reference data in the underlying data model, and the validation of instruments that belon to curves and surfaces. Real-world, in-production use cases will be referred to for illustration.
Third-Party Revolution: Redefining Data Security with Copilot and GenAI
In an era where third-party collaborations are crucial to business innovation and efficiency, ensuring robust data security is more challenging and essential than ever. With the advent of advanced AI technologies like Copilot and GenAI, organizations are now equipped with powerful tools to navigate these complexities. But how do these technologies reshape the landscape of data security, and what strategies can businesses employ to protect their sensitive information?
This session will explore:
The Evolution of Third-Party Collaboration: A historical perspective on collaboration methods and how GenAI is revolutionizing the way organizations interact and share data with external partners.
Understanding Copilot and GenAI: An in-depth look at these advanced AI technologies, their capabilities, and how they enhance productivity and security in collaborative environments.
Data Security Challenges: Identification of the unique security risks associated with third-party collaborations and the integration of AI technologies.
Best Practices for Mitigation: Proven strategies and best practices for securing data, including real-world examples and case studies of successful implementations.
Our expert speakers will provide valuable insights into leveraging Copilot and GenAI to safeguard your data while maximizing the benefits of third-party collaborations. Whether you are a data security professional, IT manager, or business leader, this webinar will equip you with the knowledge and tools needed to navigate the complexities of modern data security.
Don’t miss this opportunity to stay ahead of the curve and redefine your approach to data security in the age of collaborative AI. Register now and join us for an engaging and informative session that promises to transform your understanding of third-party data security.
Data Governance for Generative AI
In the fast-changing world of AI, it’s crucial for organizations to effectively manage data sensitivity, access rights, model risks, and compliance. This webinar, featuring experts from Securiti and Databricks, explores how unified data intelligence is key to establishing strong governance frameworks for data and AI.
Learn about strategic ways to incorporate governance, security, privacy, and compliance into your data and AI initiatives. We will discuss both foundational concepts and real-world applications. In particular we will show how organizations can effectively utilize both unstructured and structured data in AI endeavors safely, using the example of how the integration between Securiti and Databricks enhances data governance and enablement.
Key Takeaways:
Navigating Complexities: Understand how to manage data sensitivity, access issues, model risks, and compliance to boost the success of your AI projects.
Safeguarding Data Across Stages: Discover how implementing robust policies at key data handling stages can safeguard data usage
Live Demonstration: See firsthand how to ensure the secure and compliant use of data in AI applications with real-world integration between Securiti and Databricks.
Leading with Data: Strategies for Engaging Business Matter Experts
Join our expert speakers as we explore the T.E.A.M. approach to leading with data. Delve into the essential strategies for engaging business matter experts, emphasizing trust-building and collaboration to advance a data-driven culture. Gain invaluable insights from Barbara’s extensive career journey and learn actionable steps to build a strong, sustainable and adaptable data foundation in today’s data driven era amidst the ever-increasing pace of technological innovation.
Key takeaways include:
Creating a strong data culture
Fostering the relationship between business and data
Data is everyone’s responsibility – we are all data users
How to effectively engage business leaders in the data conversation
EDM Association Completes Acquisition of Assets of OMG
The combination of the two organizations creates the world's largest data and standards community.
