In this episode of the AI Monetisation Podcast, CEO and Co-founder Binny Mathews has an insightful conversation with Benjamin Skrainka, Amazon's Lead Economist for marketing measurement, about the transformative role of artificial intelligence(AI) in experimentation and economics. The discussion highlights how Generative AI in A/B testing and experimentation is simplifying experiment design and enabling decision-making. Benjamin shares insights into the intersection of economics and deep learning, emphasizing how these fields are reshaping causal inference and business applications. He also offers useful perspectives into Amazon's unique approach to data-driven decision-making, explaining their document-driven culture that replaces PowerPoint presentations with six-page narratives. Benjamin's skill in linking theoretical ideas to real-world business applications adds significant value to this discussion, all while keeping a clear perspective on how Generative AI will keep evolving the realm of experimentation. Tune in to learn how Gen AI is not only advancing A/B testing but also fundamentally transforming business decision-making in the AI era.

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