04 x 02 Staying Relevant: Drift Detection in Labor Market AI
Автор: JANZZ.technology
Загружено: 2025-09-24
Просмотров: 35
Описание:
AI doesn’t update itself — and without the right tools, machine learning models quickly get stuck in the past. In this episode of the JANZZ.technology Podcast, host Laura Flamarich talks with Alejandro Jesús Castañeira Rodríguez (Principal Data Scientist) and Felipe Andrés Araneda Zúñiga (Junior Data Scientist) about the hidden force that keeps AI relevant: data drift detection.
💡 In this episode, you’ll learn:
What data drift is and why it matters for AI & HR tech.
Real-world examples: from healthcare to fraud detection to emerging job titles like “TikTok Growth Manager.”
How drift detection actually works (PCA, embeddings, clustering & retraining).
Why monitoring models is like giving them regular health check-ups.
How JANZZ.technology stays ahead of labor market trends across languages.
📌 Perfect for: data scientists, HR leaders, and anyone curious about how AI stays accurate in a world that never stops evolving.
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