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Anotace knihy

AI systems don't fail loudly. They fail silently.

Models drift. Bias creeps in. Predictions look confident-until trust collapses.
Traditional monitoring can't see it. Accuracy can't explain it. And dashboards can't defend it.

AI Observability: Monitoring & Explainability is the definitive guide to building AI systems you can see, understand, govern, and trust-in production, at scale, and under scrutiny.

This book goes far beyond theory. You'll learn how to:

• Detect data drift, bias, and silent model decay

• Monitor predictions, confidence, and real user impact

• Explain AI decisions clearly to users, auditors, and regulators

• Design end-to-end AI observability architectures

• Handle AI incidents, audits, and governance with evidence-not excuses

• Apply observability to GenAI and foundation models

Written for real-world engineers, architects, leaders, and auditors, this book transforms AI from a black box into an accountable system.

If you deploy AI in production, this book is no longer optional.

Parametry knihy

• Plný název: AI OBSERVABILITY
• Podnázev: Monitoring & Explainability : Seeing, Understanding, and Trusting Intelligent Systems in Production
• Autor: Mohan Rayithi
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 236
• EAN: 9798249368203
• ID: 51322824
• Nakladatelství: Independently published
• Hmotnost: 558 g
• Rozměry: 280 × 216 × 13 mm
• Datum vydání: 22. February 2026

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