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In politics, every prediction comes with a very public scorecard — election night. AI, particularly large language models, has revolutionized how we collect and analyze data, but does that mean we’re getting better at forecasting outcomes? And what lessons does this hold for market research and data insights? Political research and market research share a common challenge: finding the signal in the noise. Just like a campaign needs to target niche audiences to win, brands and businesses must understand micro-segments to succeed. AI accelerates analysis, but it’s not a cure-all — garbage data still leads to garbage predictions. This talk will unpack how AI is changing the game for both political and traditional research, where it works, where it fails, and what we all need to learn from the ultimate prediction test — election night. The future of insights isn’t just about having more data; it’s about knowing which signals to trust. Speaker: Scott Tranter, Decision Desk