Atlanta CDAO Town Hall
February 15, 2024 | 11:00am EST
February 15, 2024 | 11:00am EST
Data Privacy and Security — Strategic Elements of Data Strategy
Participate with your CDAO peers in the Atlanta community in small, breakout discussions on a mission-critical priority for data leaders. These informal discussions allow you to share your insights and learn from the lessons, approaches and experiences of a diverse group of peers in virtual breakout rooms.
Join fellow CDAOs in the Atlanta community to discuss:
Foster a Strong Data and Analytics Function Through Leadership and Influence
Restructuring Data Strategy and Governance to Responsibly Deploy Generative AI
Enhance Data Literacy Across the Organization to Drive Business Value
Discussion Leaders
Members of the Atlanta CDAO community will lead the interactive discussion and share lessons learned.
James Rice
Protegrity
VP of Customer Solutions
Moderator
Sudipto Ghose
Equifax
VP, Enterprise Data & Analytics
Governing Body Host
Pankaj Singal
Goldman Sachs
Chief Data Officer, Platform Solutions
Discussion Leader
Sameer Vittal
General Electric
Chief Engineer - Data Science/Analytics and Reliability
Discussion Leader
Nathan Ghadirifard
WellStar Health System
Director Strategic Market Analytics
Discussion Leader
Bindu Chellappan
FleetCor Technologies
SVP Insights & Analytics
Discussion Leader
Mabby Amouie
Norfolk Southern Corporation
AVP, Enterprise Data & Analytics
Discussion Leader
Agenda
February 15, 2024
11:00am - 12:00pm EST
Data Privacy and Security — Strategic Elements of Data Strategy
Hosted by Protegrity
With the evolution of the modern data stack, embedding privacy and security into data pipeline architecture has become a fundamental part of the CDAO role. Data protection is not just a necessary cost; it's become an opportunity for businesses to differentiate. The accelerated adoption of AI/ML, including generative AI and LLMs, further emphasize the importance of dealing with data protection earlier in the development process.
Join this session to learn how to:
- Protect sensitive data in the modern data stack
- Enable better data sharing, even across geographical boundaries
- Communicate the importance of data protection with AI/ML
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