

Shane Murray - The Impact of AI on Data Teams, Unstructured Data Observability, and More
Jul 23, 2025
Shane Murray, Field CTO at Monte Carlo and former Head of Data at the New York Times, brings his expertise on AI's impact on data teams. They discuss transitioning from finance to a leading data role, showcasing the intertwining of AI and business strategies. The conversation highlights the evolution of data observability in multimodal environments and the challenges of scaling AI solutions. Shane also dives into how unstructured data is transforming logistics, emphasizing the importance of data quality, collaboration, and continuous AI evaluation for fostering innovation.
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Early Data Career Journey
- Shane Murray started in data via finance and choice modeling.
- He applied experimental design in early data roles leading to major clients like American Express and eBay.
Driving Experiments at New York Times
- At The New York Times, Murray led building a server-side experimentation platform.
- His team ran hundreds of experiments annually to optimize paywall and homepage designs.
Three AI Adoption Approaches
- Teams are embracing AI via productivity tools, AI readiness, or building generative AI applications.
- Many start cautiously, engineering guardrails to manage AI's uncertain outputs at scale.