Why Enterprise AI is the Sleeping Giant of Innovation (ft. Inna Tokarev Sela, illumex.ai)

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Enterprise AI is having a moment—but it's not the one you think. In this episode, Jeremy sits down with Inna Tokarev Sela, founder of Illumex, to talk about what it really takes to build reliable, governed AI systems at scale. With decades of experience at Sisense, SAP, and now at the helm of her own company, Inna lays out why explainability, trust, and diversity in leadership are the keys to unlocking AI’s potential inside the enterprise. From hallucination hazards to governance gaps and the ethics of AI design, this episode is a must-listen for anyone building the future of intelligent systems.

Here’s what you’ll learn:

• Why the biggest obstacle to enterprise AI isn’t ethics—it’s infrastructure
• The three pillars of AI trust: explainability, data access, and governance
• How diverse teams lead to more ethical and effective AI
• What hallucinations in AI outputs reveal about your data pipeline
• Why unifying context matters more than ever for AI accuracy
• How leaders can future-proof their companies by fixing their foundations
• Why being “application-free” might be the future of business workflows