Artificial intelligence is everywhere-yet most of what we call "AI" doesn't think at all. It predicts.
Every chatbot reply, every automated insight, every algorithmic recommendation is a probabilistic guess dressed in confidence.
Beyond Prediction
reveals how modern AI systems truly work-and where their limits begin. Written for executives, analysts, and decision-makers, this book translates the mechanics of large language models into clear, actionable understanding. No math. No hype. Just grounded explanations that bridge technology with business reality.
You'll learn how to:
- Separate prediction from understanding-and use both wisely
- Recognize hallucination, drift, and the illusion of intelligence
- Design human-in-the-loop workflows that scale responsibly
- Read AI output as probability, not prophecy
- Turn governance into competitive advantage
- Build systems that think responsibly without replacing human judgment
Co-developed with large language models, the writing process itself mirrors the book's central message: AI is powerful not because it thinks, but because it amplifies the thinking of those who use it well.
If you work with data, lead teams, or make decisions, this book gives you the literacy needed to navigate an era where prediction is everywhere-and understanding is the new differentiator.