The End of Data Leakage episode artwork

EPISODE · Apr 8, 2026 · 24 MIN

The End of Data Leakage

from Industrial AI Podcast · host Robert Weber / Peter Seeberg

In this episode, we dive deep into the challenges facing time series AI model leaderboards, from hidden information leakage to the complexities of benchmarking foundation models. I sit down with Marcel Meyer to unpack why traditional approaches fall short and how our new TS Arena leaderboard is setting a new standard for fair, future-proof evaluation. We explore the pitfalls that plague current benchmarks, the surprising ways data contamination can skew results, and the innovative pre-registration protocol we've developed to keep evaluations honest. If you've ever wondered what it takes to build a truly trustworthy AI leaderboard—or why it matters for industry and research alike—this conversation is packed with insights you won't want to miss.

Episode metadata supplied by the publisher feed · Published Apr 8, 2026

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The End of Data Leakage

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This episode was published on April 8, 2026.

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