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How The New York Times Scales Analytics With AI

More analysis doesn’t mean better decisions. Mariam Melikadze shares how The New York Times uses smarter frameworks and where AI fits in analytics. Every analytics team has more questions than people to answer them. AI-powered self-service is generating even more questions, and at The New York Times, that challenge keeps getting sharper. Mariam Melikadze, VP of Data Analytics, shares how they are approaching it, where AI fits into the solution, and how she sees the analytics function evolving in response.

How The New York Times Scales Analytics With AI

What you'll learn

  • Why AI-driven self-service creates more questions, not fewer
  • How The New York Times frames analytics work so more output leads to better decisions
  • Where AI fits, and how the analytics function is evolving