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The 7 pitfalls of AI
intermediate
AI
Culture
Engineering
Leadership
AI everywhere. Companies hustling not to stay behind. However, things are not as easy as we are usually told if we want to leverage the power of AI successfully.
In this session, we will discuss 7 pitfalls that are often lost in the omnipresent AI clamor: Dangers of anthropomorphization, leaky abstractions, review fatigue, productivity traps, AI vampires, sovereignty issues, and more. Not all are easy to fix, but we need to find answers on our journey towards AI. Let’s explore together!
Data
Leadership
Product
AI/ML
UX/UI
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Stand on the shoulders of giants and build alongside the people shaping what comes next.
