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Christine Pierce spent over 20 years at Nielsen building and running the data systems behind a $600 billion advertising ecosystem. She now consults on media measurement, AI deployment, and data monetization. Her take on enterprise AI cuts through the noise: most deployments fail not because of the technology, but because of change management and misaligned incentives.
Christine outlines how the shift from panels and surveys to transactional and big data fundamentally changed the measurement challenge, why deduplication across devices remains unsolved, and how organizations can spot the real barriers to AI adoption before they invest.
Topics Discussed:
Shift from survey-based to transactional data in media measurement
Deduplication challenges across devices and platforms
Independent vs. platform-owned measurement in programmatic advertising
Why enterprise AI deployments fail: change management over technology
Individual productivity vs. enterprise-level AI transformation
Using synthetic data and agentic AI for brand research
Framework for advising companies on data monetization
Communicating data ROI in business outcomes, not technical outputs
Agentic models as the next evolution of programmatic advertising
