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The core thesis of the ThinkingData Summit (TDS)<\/a> – taking place on Tuesday, March 10th in San Francisco – is that in 2026, success for gaming studios requires harnessing and optimising data, analytics, live ops and AI to move from raw insight to measurable impact.<\/p>\n The challenge for many studios is a persistent disconnect between the player insights you have and the ability to turn them into actionable strategies that drive business results like retention and monetisation.<\/p>\n The first TDS in the US is designed to provide real-world expertise in operationalising the data you already have to bridge that gap.<\/p>\n This mission is critical as studios navigate three major industry challenges:<\/p>\n
On March 10th, 2026, the US debut of ThinkingData Summit facilitates a conversation on these topics. As a leader in game analytics and live ops, ThinkingData has designed this summit to act as a crossroads for the Americas, Europe, Asia and MENA, where industry veterans will trade the strategic blueprints required to thrive in the modern gaming environment.<\/p>\n The intelligent evolution: Data + AI in practice<\/p>\n A major focus of the day is how data and AI can be used to de-risk the entire game lifecycle. Tim Hong (Former Head of Live Service Games, AWS) will discuss the rise of “Agentic Live Ops”, exploring how self-optimising game economies are potentially becoming the new standard for maintaining long-term balance.<\/p>\n This transition to actionable business impact is at the heart of the session by Chris Han (co-founder, ThinkingData). Drawing on ThinkingData\u2019s experience in providing global analytics and live ops tooling, he will showcase how studios can move beyond passive monitoring to active growth. This is further illustrated by Sayg\u0131n Topatan (CEO, Mavis Games), who will break down how to use data to verify and de-risk new game ideas during the earliest stages of development.<\/p>\n
\nThe live ops framework gap: The majority of studios currently struggle to create meaningful live ops frameworks to keep players engaged, run frequent tests and improve monetisation. While these strategies are foundational, they are, in some cases, only now being adopted as a central pillar for studios across the Americas, Europe, and MENA.
\nThe AI operational pivot: The industry is moving beyond viewing AI solely as a research tool. It is beginning to tap into AI as an operational engine – a shift that is just around the corner and will redefine how analytics are used in real-time to drive game performance.
\nZero margin for error: With the highest competition and UA costs the industry has ever seen, there is simply no margin left for risk, wasted budget or inefficient operations.
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