From noise to action: How AI turns news into risk intelligence
What if your AI tool understood risk like a senior analyst? That’s what Yukka built. In this episode, Sebastian Streiffert sits down with Oliver Berchtold, AI pioneer, and CEO & Co-Founder of Yukka, to find out what it takes to turn raw news data into actionable risk intelligence.
What if your team never missed a reputational threat or a financial risk again? Oliver Berchtold shares how his team built an AI platform that scans and interprets over 2 million news articles a day to deliver early risk signals, reputation red flags, and ESG insights. From designing explainable, role-specific AI agents that solve real-world problems to the limits of LLMs, this conversation is packed with insights.
About the Speaker:
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Oliver Berchtold
Oliver is the co-founder and CEO of YUKKA Lab, a company turning global news coverage into actionable data for financial risk management, ESG due diligence, and investment. With a background in media intelligence and product leadership, he helped build one of the most advanced event detection engines in the market. He has over a decade of experience in natural language processing, sentiment analysis, and applying AI to real-world business needs — from hedge funds to global banks and insurers.
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Why listen?
- Find out how unstructured news data is becoming a powerful signal in reputation, investment, and ESG decisions
- Discover what it takes to train an AI system that tracks 250,000+ companies and detects 170+ risk events
- Hear how Yukka built an AI agent that thinks more like an analyst than an algorithm
- Understand why structured data no longer suffices for competitive decision-making
- Get practical insights into creating trust-worthy AI solutions for high-stakes environments
- Explore the future of AI-assisted sales and business leadership, and the human role that still matters most
- Find out how unstructured news data is becoming a powerful signal in reputation, investment, and ESG decisions
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