{ "item_title" : "AI Observability", "item_author" : [" Mohan Rayithi "], "item_description" : "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 decayMonitor predictions, confidence, and real user impactExplain AI decisions clearly to users, auditors, and regulatorsDesign end-to-end AI observability architecturesHandle AI incidents, audits, and governance with evidence-not excusesApply observability to GenAI and foundation modelsWritten 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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/824/936/9798249368203_b.jpg", "price_data" : { "retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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