New York CDAO Town Hall
March 21, 2024 | 11:00am EDT
March 21, 2024 | 11:00am EDT
Trust is the Foundation for Data Activation
Participate with your CDAO peers in the New York 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 New York community to discuss:
Resolving internal roadblocks that impede trust and reliability in data
Building trust in self-serve access points, including predictive analytics and M/L algorithms
Creating metrics to track quality and articulate the successes of your programs
Discussion Leaders
Members of the New York CDAO community will lead the interactive discussion and share lessons learned.
George Chen
Twilio
VP of Professional Services at Segment
Presenter
Marla Dans
Chicago Trading Company
Head of Data Management & Governance
Discussion Leader
Michael Finnen
Bank of America
Risk & Finance Tech Data Management
Discussion Leader
Rahul Lath
World Wrestling Entertainment Inc
Senior VP, Data Science & Engineering
Discussion Leader
Robin Lougee
KnitWell Group
AVP, Data Science & Machine Learning
Discussion Leader
Tara Palesh
Pfizer
Senior Director, Compliance Analytics Lead
Discussion Leader
Jonah William
Mastercard
VP Data Strategy & Management
Discussion Leader
Agenda
March 21, 2024
11:00am - 12:00pm EDT
Trust is the Foundation for Data Activation
Hosted by Twilio
Mastering data management is necessary not only for organizational success but also for agility in times of uncertainty and ambiguity. Utilizing data activation as a single source of truth can provide a simple, operable way for your data management. This success hinges on data quality, strong organizational trust in data (and belief in data as an asset) and identifying the workforce skills needed to maintain and build on core competencies of the program.
Join this session to discuss:
- Resolving internal roadblocks that impede trust and reliability in data as the single source of truth
- Building trust in self-serve access points, including predictive analytics and M/L algorithms
- Creating metrics to track quality and articulate the successes of your programs
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