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Webinar

Responsible Data Sharing: Balancing Access, Privacy, and Trust


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About the Webinar

Data sharing unlocks value, but when done without the right guardrails, it erodes the trust that makes collaboration possible in the first place.

In this panel discussion, four experienced practitioners will examine how organizations are navigating the tension between broad data access and responsible use. The conversation will cover data contracts and how to structure agreements that hold up under pressure, ethical frameworks for governing how data gets used once it’s shared, and governance models that support secure cross-functional and cross-organizational collaboration.

The panelists bring decades of combined experience navigating these challenges in real-world organizations, and the session is designed to surface approaches you can evaluate against your own program. If you’re building a data sharing initiative, trying to strengthen the one you have, or simply trying to understand where most programs break down, this is a conversation worth joining.

About the Speakers

Mark Horseman
Mark Horseman Data Evangelist, DATAVERSITY

Mark is a Data Management Professional and CDMP Practitioner with over 20 years of experience and acts as the Data Evangelist for DATAVERSITY. Mark moved into Data Quality, Master Data Management, and Data Governance early in his career and has been working extensively in data management since the early 2000’s. Previous to his work at DATAVERSITY, Mark led Information Management initiatives in both private and public sector organizations.

Karen Lopez
Karen Lopez Sr. Project Manager & Architect, InfoAdvisors
Karen Lopez is a Senior Project Manager and Architect at InfoAdvisors. She has 20-plus years of experience in project and data management on large, multi-project programs. Karen is a popular speaker known for her highly interactive, practical, and sometimes irreverent presentation style. She is a Microsoft Data Platform MVP and MCT. Karen wants you to love your data as part of #TeamData.
Len Silverston
Len Silverston President, Universal Mindful, LLC

Len Silverston is an acclaimed author, consultant, and speaker with over 40 years of expertise in information systems integration and organizational dynamics. Internationally recognized as a thought leader in data modeling, data management, and human-centric information strategies, he has fundamentally transformed how organizations approach data and collaboration.

His groundbreaking “The Data Model Resource Book” series, rated #12 on the Computer Literacy Best Seller List and translated into multiple languages, presents over 230 reusable, holistic data models that have become essential resources for data professionals worldwide. Beyond his published works, Silverston has been a respected columnist and a sought-after international conference speaker.

A distinguished professional, Silverston has been honored with both the DAMA International Professional Achievement Award and the DAMA Community Award. Through his company, Universal Mindful, LLC, he provides comprehensive training and consulting services that leverage an extensive methodology of organizational change management and human behavior tools to enhance productivity and results.

He is also a fully ordained Zen priest and life coach. He provides training, coaching, corporate mindfulness workshops, and retreats through his organization, ‘Zen With Len’.

David Thain
David Thain Product Marketing Lead, Informatica

David Thain is a highly accomplished and visionary product marketer with 15 years of expertise driving innovation in data governance, data privacy and customer journey personalization. As a vital force on Informatica’s Data Governance & Privacy team, David stands at the cutting edge of AI governance, empowering organizations to unlock the maximum value of their data with trusted context. Passionate about the intelligent, effective and ethical use of data, he combines sharp business insight with deep technical know-how to guide data teams in navigating and conquering the complex challenges of data and AI with powerful solutions.

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