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Virtual Events with Informative Presentations, Q&A Sessions, Networking Opportunities, and Virtual Exhibit Halls
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Shailesh Yerram will discuss his experience transforming a traditional data architecture into a modern trusted data foundation and accelerating business adoption.
In this session, expert practitioner Donna Burbank will discuss practical ways to use MDM to foster trust, increase adoption, and accelerate your strategic AI efforts.
Richard Hines will provide insight into trusted data foundations that help deliver increased revenue and/or decreased costs.
David Loshin will provide an overview of corporate information risk and discuss vulnerabilities and their potential business impacts.
Case study speaker Sajid Khan will discuss the strategic importance of modern data architectures in digital transformation initiatives, highlighting key principles for designing scalable and adaptable frameworks.
In this session, Danilo Sato will explore an approach for building self-service platforms that integrate both data and AI workloads.
In this session, Ron Manalang will offer a deep dive into two transformative data management patterns that can optimize ROI and reduce total cost of ownership.
In this talk, TDWI Research Fellow David Loshin will discuss what TDWI research reveals about emerging data landscape platform paradigms.
This presentation will cover Novo Nordisk's program to safeguard patient data in this evolving landscape.
In this session, James Lupton will discuss how you can leverage a new framework from the International Organization for Standardization: ISO 42001.
In this talk, expert practitioner Evan Levy will review real-world examples of AI governance and data governance, then discuss their similarities, differences, and intertwined relationship.
In this session, Fern Halper, Ph.D., VP of Research at TDWI, will share the latest TDWI research on emerging trends and priorities for data and AI governance.
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